Definitions:

DevOps – DevOps is the change in culture and practices of the SDLC process which enable the organization to produce high-quality software and continuously deliver the software. It has been originated from two words, Dev and Ops. DevOps has some phases through which it works. DevOps is the collaboration between development and operation teams to ensure continuous integration, development, test, deployment, and monitor. After DevOps came the development and operation team is no longer working as ‘siloed’. DevOps is much better and faster than any other traditional model in the current era because it has removed the vulnerabilities between culture ad practices which was stopping other organizations to keep up with the time which was demanding a faster and reliable process.

DevSecOps – DevSecOps is for development, security, and operations. Its main motto is to make every employee working under a project consider security policies also important like other works, so the product will be saved. DevSecOps is all about security measures from the development phase to the monitor phase. Organizations can implement DevSecOps to break down silos between development, security, and operations so they can maintain the proper security over their products. DevSecOps uses some security testing tools to integrate into their CI/CD process like –
⦁ Static application security testing (SAST)
⦁ Software composition analysis (SCA)
⦁ Interactive application security testing (IAST)
⦁ Dynamic application security testing (DAST)

SRE – SRE has been originated from google company. SRE’s main aim is to solve the operational problems right from testing to monitoring software when it is deployed in the market. The main focus of creating it was to remove the vulnerabilities of operation parts to make the product effective and reliable. It removed the ‘silos’ from all departments and made the operation teams work together to produce an efficient product, e.g – Somewhere you might have experienced you have never felt any downtime (the app is not working properly) on your Google apps even when Google teams are pushing updates over that particular app. This is like the SRE team works making your apps more trustworthy without making you feel any disturbance. SRE works with the collaboration of software engineers. SRE somewhere automates Its operation tasks and accelerate software delivery with minimizing risks.

Best Resources to Learn DevOps, DevSecOps, and SRE.

There are some resources where you can learn about all three of them is Youtube, Blogs, platforms that provide certifications, Fb Group, etc. I am going to share some of the channels and place them.

Youtube – These are some Youtube channels Devopsschool, Debug.school, and artificial intelligence universe, where you can learn DevOps, DevSecOps, SRE. Here you will get videos frequently. You can expand your knowledge here because the videos which are uploaded here are directly from our classes where some students like you would be learning at that time. There are so many video’s has been uploaded till now related to this course. These channels have been made only for DevOps and their tools-related courses, So these channels are really helpful to learn DevOps, DevSecOps, and SRE-related topics and tools. We have premium membership as well that you can buy every month where you can get your questions answered on daily basis as well as you can get access to a full playlist of DevOps-related tools like Docker, Kubernetes, Python Etc, which you can get normally in youtube. This facility is only for a premium membership program.

Fb groups – This is the FB Group DevOpsSchool where you can get the details related to DevOps, DevSecOps, and SRE. Here we upload the contents related to courses and some knowledgeable things and other important information which can expand your knowledge as well as keep you aware related to DevOps, DevSecOps, and SRE. It’s a very important place which will not make you feel regret. DevOps India is having fun on this platform with more than 5000 members in very little time. This is a public group from all over the world who are interested in DevOps. It proactive and updated group which posts, share, comments daily. It has a strict rule not to promote any advertisement, it’s completely focused on updates, sharing information, and discussion about the topics. You can see almost all participants participate in comments to share their views, even though you can find a job as well where recruiters post their vacancies here.

Blogs – https://www.thedataops.org/what-is-devops-life-cycle/, https://www.scmgalaxy.com/tutorials/what-are-devops-devsecops-and-sre-and-differences-among-them/, https://www.aiuniverse.xyz/software-development-lifecycle-sdlc-beginners-guide/ these are three blogs link where you can get some DevOps, DevSecOps, and SRE knowledge as well as differences between them. So do check these blogs, it will help you more to understand all three of them. And also you can visit our BestDevops blog website where you will several blogs related to DevOps. Blogs have always been an important part of our learning that expands our knowledge in desired topics. So always be connected to these blogs if you are seeking knowledge. A blog is always written after seeing so much information in several places, so Blogs are really important to read because you might get that information that you can’t get anywhere else. It has always been seen google plays a much important role than any other platform, that’s why Google always tries to give you the actual and correct information to help you out. So do check the Blogs.

Websites – These are the websites of an institute DevOpsSchool, ScmGalaxy where you can get the details of the complete course related to DevOps, DevSecOps, and SRE. Also, you will get a tutorial tab that has been made to help participants with DevOps-related issues which can be accessed without any charges. DevOpsSchool provides training and certification for all three of them. This Platform is one of the best platforms in the world which provides training all over the world and has made some carriers as far now in DevOps. Some of the places where it provides the training are Hyderabad, Bangalore, London, Amsterdam, Mumbai, Singapore, San Francisco, Europe, Australia, etc. DevOpsSchool provides online and also offline classes to their students just to help them according to their comfortability. There are so many tabs on this website through you can do so many things like Solutions, classes, etc. You can contact us through this website as well that is of course to help you guys with your issues. Through this website you can request to become a trainer, a trainee or can get training for your employees as a company or consulting firm.

Certification – There are some certifications to enhance your skills and knowledge about DevOps, DevSecOps, and SRE. The certifications are – Master in DevOps Engineering (MDE) – Including DevSecOps and SRE , DevSecOps Certified Professional Online Training, Site Reliability Engineering (SRE) Certified Professional Training. There are several topics will be covered in these certifications as well as you will be provided real-life-based projects which will boost your carrier also it will be more helpful for your knowledge and resume. DevOpsSchool offers a more friendly and comfortable environment where you can free to ask anything related to topics and our trainers are ready to help you all the time with PDFs, video calls, and many more. For those persons who want to build their carrier in DevOps, these certifications are very important as they not only provide the knowledge they improve your skills with real-life-based projects as well. So get it if you want to become a professional on DevOps.

Best DevOps – This is a website where updates come daily related to DevOps and other technologies like what’s happening with that specific technology or DevOps right now, what updates have come, how to use that Etc. This is the place from where you can be the first to get the latest news. BestDevOps is a platform of DevOps updates and news where you can read about DevOps-related updates, events, news, tutorials, tips, and much more. Through the contents which have been uploaded here, you will be helped a lot if you are a DevOps enthusiast. Just be with this platform and you will be up to date on regular basis. We have gathered all the blogs from different companies, different country and experts of DevOps in one place just to help you guys. BestDevOps is the DevOps portal for a website that covers a broad range of areas in DevOps.

I hope this list will help you out to connect and hear from DevOps professionals who provided information about everything DevOps-related you needed to know.

Conclusion

In this blog, we discussed the Definitions of DevOps, DevSecOps, and SRE and the resources through which you can learn about all three of the courses. The above-given resources are very important to you guys because all are important channels to learn about DevOps, DevSecOps, and SRE. You can learn DevOps from all the resources free of cost but only DevOpsSchool is the channel where you can go for the certification in any specific tools or courses.

Training Place

DevOpsSchool is a very important platform to get trained as it is one of the best platforms and to get trained from the best ones is how feels only a trained person can say. So do check it once if you are looking for certification and to boost your carrier. you can learn more from the above-described details.

As the majority of businesses are increasingly moving to the online world, employees keep working remotely and more cyberattacks keep happening all over the globe, there is no doubt that embracing DevSecOps should be the new normal for every company. Organizations need to be able to adopt DevSecOps practices and adapt to new and evolving threats in order to protect their data and systems from malicious attacks.

At Cybersecurity 2021: The New Normal Virtual Summit, taking place March 4 and 5, the brightest minds in the security and IT industry will come together to discuss new security threats, empower DevOps teams with the latest security tools and provide practical tips and guidance to help developers and ops teams make the right security decisions to keep their data secure.

The two-day virtual event features thought-provoking discussions, networking opportunities and educational sessions focused on:

DevSecOps tools and practices
The main challenges of security and development teams when it comes to AppSec
Identity and Access Management (IAM)
Passwordless and the long-term future of identity management
Policy-as-Code and how it impacts security
How security threats changed with COVID-19 and what to expect in 2021
How to manage AppSec
How to mitigate API vulnerabilities
How to break the silos and advance towards DevSecOps maturity
How to expand your security program through low-to-no cost initiatives
Time series database for security monitoring
Machine identity management
Top 10 Hacks From the Past Decade
Runtime observability techniques for security and compliance
Securing AWS credentials on DevOps machines
Cybersecurity 2021 features an outstanding lineup of industry leaders, including:

Ira Winkler, author and president at Secure Mentem
Chenxi Wang, founder and general partner at Rain Capital
Ron Gula, president at Gula Tech Adventures
Richard Stiennon, founding member of The Analyst Syndicate and chief research analyst at IT-Harvest
Joe Levy, CTO at Sophos
Rajat Bhargava, founder and CEO at JumpCloud
Myla Pilao, head of security research communications for TrendLabs at Trend Micro
Upasna Gupta, senior product marketing manager for Prisma Cloud at Palo Alto Networks
Julian Waits, general manager of cyber business unit and public sector at Devo
Joseph Feiman, chief strategy officer at WhiteHat Security
Ian Murphy, founder and CEO at CyberOff
Mike Jones, security researcher at H4unt3d Hacker Podcast
Rhys Arkins, director of product management at WhiteSource
TJ Jermoluk, co-founder and CEO at Beyond Identity
Jim Ducharme, general manager of the anti-fraud business unit at RSA
Attendees will have the chance to enter a raffle for a chance to win a free copy of “You can Stop Stupid” by Ira Winkler and another one for a free copy of “Security Yearbook 2020” by Richard Stiennon. There will be valuable resources available for download and attendees will be able to interact with sponsors to learn more about their security tools and services.

Datadog is planning to expand the scope of the security and observability services it provides following the acquisitions of Sqreen, an application security platform provider, and Timber Technologies, a provider of a tool, called Vector, for collecting and normalizing log data.

Ilan Rabinovitch, vice president of product and community for Datadog, said Vector makes it possible to collect, enrich and transform logs and other observability data from both on-premises and in-cloud environments in a way that makes it easier to route that data to wherever it is needed via a data pipeline.

Sqreen is a provider of a software-as-a-service (SaaS) platform that detects, blocks and responds to application-level attacks using runtime application self-protection (RASP) capabilities enabled by a web application firewall (WAF) embedded within an application.

Rabinovitch said as IT continues to evolve, it’s clear organizations are looking to embrace DevSecOps best practices in a way that will require security tools that can be embedded within an application, coupled with observability tools that provide more context about the overall IT environment. That context is especially critical, given the amount of data that needs to be analyzed to determine the potential scope of a security threat to an IT environment, Rabinovitch said.

The Datadog platform is already widely employed to monitor cloud computing environments. There is an industry wide effort to take monitoring to the next level by enabling observability, which applies analytics to provide more context. Surfacing that context, however, requires the ability to normalize data across a pipeline using Vector, Rabinovitch said.

Of course, the Vector tools are equally applicable to DevOps workflows that have yet to incorporate security technologies. The goal, now, is to make it easier for IT teams, made up of developers, IT operations teams and security specialists, to collaborate by breaking down the various data silos created by IT and security management tools.

It’s too early to tell what impact the rise of DevSecOps will have on roles within IT organizations. Most organizations will continue to employ a range of specialists that will be able to work more closely with IT generalists, Rabinovitch said. Managing IT is becoming the equivalent of a barn raising, in that it requires members of a community with different skills to come together for a certain amount of time to accomplish a specific task, Rabinovitch added.

It’s also not clear whether IT organizations view observability as a distinct capability separate from monitoring, or whether they will simply view observability as the next logical extension of existing tools. At the core of that issue is debate over whether observability platforms need to be acquired separately, as part of an effort to replace existing monitoring tools, or whether those tools will evolve over time to provide observability capabilities.

Regardless of the path forward, it’s apparent the increased complexity of modern IT environments – made up of microservices, containers and serverless computing frameworks – is about to force that issue.

Global DevsecOps Market 2020-2026 Introduction and Scope:

The study of the global DevsecOps Market is known to provide a detailed analysis of the segments and revenue sharing applied to the market growth during the forecast forecast period. Global DevsecOps Market Research report studies the market based on key segments such as product type, application, key companies and key regions, end users, etc. The Global DevsecOps Market Research report provides an in-depth study of the market based on key segments such as product type, application, key companies and key regions, end users, and more. Research reports help participants understand their competitive strengths. It provides global information on the market, providing individual, weakness and competitive analysis for each participant.

In addition to presenting a detailed overview of the current market scenario, the report also includes various details on the overall ecosystem, key trends, market catalysts, threats and challenges that significantly affect revenue generation in the DevsecOps Market.

Essential Key Players involved in Global DevsecOps Market are:

CA Technologies, IBM, MicroFocus, Synopsys, Microsoft, Google, Dome9, PaloAltoNetworks, Qualys, and Chef Software

In addition to the full understanding shared in the previous section, we provide you with a comprehensive research report gauge that allows you to draw conclusive conclusions about the growth factors and determinants, ultimately leading to the overall growth and profitable business of the global DevsecOps Market.

In addition, this strategy is also used to analyze the impact on the growth of the company, which is expected to affect the overall growth of the market during the forecast period, and the demand for estimation of segment analysis is also increasing. Used to predict the growth of the global DevsecOps Market. It is also included in the scope of the research report. This research report provides an assessment of the growth and other characteristics of the global by key regions and countries. The main regions with good markets in this industry are North America, Latin America, Europe, Asia Pacific and Middle East Africa.

This DevsecOps Market impacts the competitive landscape by accurately identifying opportunities, threats and challenges. This advanced research understanding of the DevsecOps Market provides key momentum for the detailed growth aspects in terms of product sections, payments and trading platforms, as well as further integration of service portfolios, applications, and technological interventions that promote ideal growth.

DevsecOps Market Segmentation
Type Analysis of DevsecOps Market:

by Component (Solutions, and Services), Deployment Mode (On-premises, Cloud), Enterprise Size (Large Enterprises and Small & Medium Enterprises), Industry Vertical (BFSI, IT & Telecommunications, Government, Public Sector, Retail & Consumer Goods, Manufacturing, Energy & Utilities, Media & Entertainment, Healthcare & Life Sciences, and Others)

Read the full report at:
1. Thorough and detailed analysis and review of the DevsecOps Market
2. Summary of clear changes and market developments affecting market dynamics
3. Clear understanding of market segmentation related to the DevsecOps Market
4. An important overview of all past, real-time and predictive developments that may affect growth
5. The research report was specifically conceived, integrated, and exhibited with a focus on key essentials and market factors such as a dedicated review of trends, segment analysis, challenges and barriers analysis, and opportunity mapping to reward growth trajectories.
6. A systematic review of various market developments and strong changes leading to growth of the global DevsecOps Market.
7. References to all successful growth rendering development

Major Topics Covered in this Report:
1. Study Coverage
2. Executive Summary
3. DevsecOps Market Size by Manufacturers
4. Production by Regions
5. Consumption by Regions
6. DevsecOps Market Size by Type
7. DevsecOps Market Size by Application
8. Manufacturers Profiles
9. Production Forecasts
10. Consumption Forecast
11. Upstream, Industry Chain and Downstream Customers Analysis
12. Opportunities and Challenges, Threat and Affecting Factors
13. Key Findings
14. Appendix

Adroit Market Research is an India-based business analytics and consulting company. Our target audience is a wide range of corporations, manufacturing companies, product/technology development institutions and industry associations that require understanding of a market’s size, key trends, participants and future outlook of an industry. We intend to become our clients’ knowledge partner and provide them with valuable market insights to help create opportunities that increase their revenues. We follow a code- Explore, Learn and Transform. At our core, we are curious people who love to identify and understand industry patterns, create an insightful study around our findings and churn out money-making roadmaps.

Dynamic testing looks at the running application, poking and prodding to see how it reacts to known vulnerabilities. A complete dynamic scan watches a test runner as it runs against the application and tries all points of entry it can find, normally a highly automated process that takes a while.

Where dynamic scans fall short is in pinpointing the problem within the application. Knowing that things went wrong when a given CVE was exercised against the app is one thing, but knowing what went wrong and where it went wrong is much more useful to make development teams productive. This is where interactive application security testing (IAST) tries to lend a hand. Using tooling in the application, interactive scans can offer the exact module/source file/shared library (etc) that caused the error.

Generally speaking, interactive tests are best run at a targeted subset of an application, finding details needed to resolve issues the organization is already aware (or suspect) exist. In our test environment, we use interactive scans to zero in on issues that were detected by static and/or dynamic scans.

It is likely that the interactive testing market will be the one to continue to move down the line to full-on security monitoring and/or it will encompass a growing list of environmental issues—it is, after all, designed for a running application to get exercised and find the issues. It is not a stretch to see these tools move in the above directions, and indeed you can see the beginnings of these moves in different vendors.

But for today, the things-you-want-to-look-for list is here. My usual disclaimer applies … Through my (and others’) work for ASG, we’ve turned up a lot of information about DevSecOps tools and what to look for. We don’t have room in these blogs to delve into the depths of that research, but I’m offering an abbreviated hit-list of things to look for when moving toward this type of product. There is a lot to look for, and please be aware that this list is just to get your journey jump-started.

Language/framework support: It doesn’t need to be as tightly integrated as language-dependent static scans, but the tool still needs to support your specific development efforts. Support for Ruby/RoR, for example, is important if that is your dev platform of choice.
Source of vulnerabilities: Like other security tools, understand what interactive testing tools cover and how it is covered. Currently, most of these tools count on an external test running tool to actually run the test, while the dynamic scan watches what is happening inside the application.
Toolchain integration and support: Can the tool be called from your build/test toolset? Does it have integrations to feed results back into your build/bug-tracking systems? While these tools offer good interfaces to see what is going on, the explosion in tools that DevOps brought is making us dashboard-weary. Make certain your centralized code quality information store can be used as the single pane (or pain, depending upon implementation) of glass for initiating scans and reporting results.
Test tool support: As mentioned above, most of these tools are watchers that rely on another source to run tests. Make certain that there is some manner of coordination between these two so the test runner can be kicked off from the dynamic scan or vice-versa. More manual steps aren’t needed here and just slow the process.
False-positive rate: Interactive testing still struggles with false positives, though these tools are getting better. Have an understanding about average false-positive rates of the product in question, then ask about customization options to reduce this number in your given environment without reducing security posture.
Cost to configure/maintain: As is probably obvious, tooling an application to look inside of it is a step beyond normal production needs. Make certain the overhead of adding interactive testing to a project and the cost of integrating are worth the results to be had.
Vendors call it “interactive” because it watches the interaction of the pieces of code inside the app as it’s running. Many customers call it “interactive” because the “tool” used to run apps for testing ends up being people “interacting” with the application. Both are somewhat accurate, though automation is coming apace, as it is for everything software testing.

Choose a product that has enough automation today to suit your organization’s needs, and is progressing to wow you. Of all the security tools out there right now, interactive holds the greatest promise for wowing us. Since it is happening at runtime and can see inside the application, everything from environment to installed applications on the host could be covered, and that’s where some vendors are headed. An integrated environment security test tool with deep knowledge/reporting that includes knowledge gained from static scans and source code analysis is on the horizon—and, given the direction of all of DevOps, making that solution fully automated and reporting back to build systems is coming also.

Interactive won’t replace the other steps in DevSecOps, but it will replace some of their functionality—or more often enhance some of their functionality. If a static scan notes a potential vulnerability, dynamic could verify if it is a real vulnerability before a human ever sees a report on the issue, for example.

I’ll end this as I’ve ended the others: You all are kicking rear and taking names in a tough IT environment that exploded into near-100% remote for most of you. Keep kicking rear and don’t forget security. It is more important as your organization becomes geographically dispersed because now applications that were “secure enough” for the internal network are shared publicly. Even with infrastructure protections such as VPN in place, more caution should be applied to those applications simply because they are more exposed than “must be on our LAN” allowed for.

The Defense Information Systems Agency (DISA) is moving toward requiring rapid, agile and secure software development processes for new systems.

Brian Hermann, director and program executive officer, Services and Development Directorate within the agency, said he wanted to make it clear that the process known as DevSecOps will be increasingly essential for new contracts.

“When we develop capabilities, we will use the DevSecOps methodology. The process of using a pipeline instead of tools to transform initial code into operating services and deploy that code as quickly as possible will allow us to move from release cycles in the months and weeks timeline to release cycles closer to daily,” Hermann said during a Forecast to Industry as part of the AFCEA TechNet Cyber conference, a virtual event held Dec. 1-3. “That challenges some of our other processes, but I want to make sure everybody understands that our goal is to move to that agile DevSecOps methodology because that’s going to be core to any of the contracts that we require for new development efforts.”

He added that the organization is building a Mobility Enablement prototype, which he described as a “DevSecOps-like pipeline” for developing mobile applications across the department. We just recently are wrapping up a prototype contract to put that capability in place. We’ve developed a business case, and we’re working through how that continues to provide that capability for the department.”

The first program to fully adopt the DevSecOps practice is the Joint Planning and Execution Services contract. It is an effort to modernize the existing Joint Operational Planning and Execution System that provides global force management support for the department. “It allows force planners to input scenarios and needs and to look at options for which forces should be used in those conditions. Both of those capabilities are used at the combatant command level and at the task force level below that. We are actively working the JPES modernization development, and that is the first program, actually, to fully take advantage of our DevSecOps pipeline as we move toward that modernized approach,” Hermann reported.

Modernizing the Global Command and Control System-Joint also will use DevSecOps processes. “It has been in existence for 25 years or so, and it is providing capability to hundreds of sites around the world. We are endeavoring as much as possible to modernize a client server kind of approach that’s used to host it in local enclaves to more of an enterprise solution that will allow us to take advantage of speedy, DevSecOps delivery of capability to the warfighters,” Hermann said. “To do that will also require that we take advantage of all of the levers of capability that DISA provides, to include high-speed redundant transport to make sure the services are available to anyone anywhere.”

That modernization contract is expected late in the 2021 fiscal year, and the organization intends to take a different approach. “As we move toward a data-centric future, we will likely have companion contracts that create accessible data links and modular decision making functions in accordance with the JADC-2 or Joint All-Domain Command and Control, vision for situational awareness, which means there will likely be additional contracting opportunities that accompany the sustainment of the existing capability,” Hermann stated. “We expect this to become the basis of providing data for many developers around the department to create smaller applications that produce the situational awareness that is required.”

Additionally, the directorate intends to move away from the continuity of operations approach to backing up systems and instead to “leverage clouds’ elasticity and distributed delivery for efficiency and improved availability and reliability,” he added.

In the recent times, a new trend is gaining popularity in the software development life cycle called DevSecOps. This technology bridges the gap between development, operations, and security teams to speed up the software development process through collaboration and communication among the teams. The goal of DevOps is to give more ownership to the development team for developing and monitoring applications. Security plays a key role by providing high-end security to the applications.

“DevSecOps = DevOps + Security”

The rising adoption of various software applications among businesses and consumers has opened new avenues for hackers to hack data leading to the lack of security in terms of coding or configurations. DevSecOps is expected to play a vital role at this point in maintaining the security by collaborating various departments at the initial stages of product development.

According to Infoholic Research, the global DevSecOps market is expected to grow at a CAGR of 33.7% during the forecast period 2017-2023. The rising security breaches, awareness about DevSecOps platforms, need for improving SDLC by reducing the time wasted, and the increasing investment activities have led to the demand for DevSecOps. In addition, the growing demand for advanced technologies, such as AI, automation, and cloud technologies, are expected to support the DevSecOps market growth. The market is analyzed by regions, deployment type, and enterprise type.

Segmentation Analysis: Regions and Deployment type

Region-wise: The Americas leads the market followed by Europe. The US, Canada, UK, Germany, and France are the major revenue generators owing to the rising security breaches, advanced technology, demand for high-end software products, and government rules and regulations related to security. Asia Pacific is always an attractive market for the key stakeholders to enhance their business or product portfolios. Especially, India, China, Japan, Singapore, Philippines, and other country enterprises are showing interest in the DevSecOps platform. It shows that DevSecOps platform adoption rate is about to witness a lot of investment in the upcoming years. Finally, MEA is an emerging market for the key stakeholders during 2017-2023.

This report provides details about DevSecOps deployment type. Most of the DevSecOps players are offering cloud and on-premises deployment modes for their customers and most of the enterprises are still demanding for the on-premises model. In the recent years, the enterprises are moving from on-premises to the cloud, but cloud providers need to ensure security at each stage of the product development involving security, developers, and operational professionals. The cloud deployment model is expected to contribute the major market share followed by the on-premises model.

Enterprise type Analysis

Globally, all kinds of enterprises are falling under security breaches somehow, especially SMEs are always targeted by the hackers’ due to the lack of IT infrastructure and knowledge about security threats. Whereas, larger enterprises are adopting more and more digital, advanced technologies to reach their customer demands, but security loopholes on software product/services may impact their customer experience. Thus, enterprises are showing interest in adopting the DevSecOps platform and using it. The large enterprise segment is leading the market, followed by the SMEs, but in the future the SMEs segment is expected to increase its revenue contribution toward the market growth.

Key Vendors and Competitive Analysis

Some of the companies covered in the report include IBM, Splunk, Chef Software, Puppet, Amazon, CA Technologies, Qualys, and others. The small and growing start-ups are focusing to provide high-end DevSecOps tools and are receiving a good number of customers. The big players are enhancing partnerships and M&A strategies with the small players to increase their footprints in the market, and thus, gain a leading position in the DevSecOps platform market. Players are investing in building an expertise workforce in the DevSecOps area to satisfy the ongoing and future demands.

Benefits

The report provides an in-depth analysis of current and future market status for DevSecOps. The report aims to provide an opportunity for key players to understand the latest trends, demands, players’ initiatives, and technologies related to the market. This report gives the complete details about regions, country wise details, adoption and plan ratio of DevSecOps, revenue, and key trends. In addition, it helps the venture capitalists in understanding the profile of the companies.

DevSecOps is often referred to as an “artificial kidney.” Its function is to remove the excess wastes and fluid from the blood when the patient’s kidneys can no longer perform that task. DevSecOpss are made of thin, fibrous material.

Overview of the worldwide DevSecOps market:
There is coverage of DevSecOps market dynamics at the country level in the respective regional segments. The report comprises competitive analysis with a focus on key players and participants of DevSecOps Industry covering in-depth data related to the competitive landscape, positioning, company profiles, key strategies adopted, and product-profiling with focus on market growth and potential.

Impact of COVID-19:

DevSecOps Market report analyses the impact of Coronavirus (COVID-19) on the DevSecOps industry. Since the COVID-19 virus outbreak in December 2019, the disease has spread to almost 180+ countries around the globe with the World Health Organization declaring it a public health emergency. The global impacts of the coronavirus disease 2019 (COVID-19) are already starting to be felt, and will significantly affect the DevSecOps market in 2020.

The outbreak of COVID-19 has brought effects on many aspects, like flight cancellations; travel bans and quarantines; restaurants closed; all indoor events restricted; emergency declared in many countries; massive slowing of the supply chain; stock market unpredictability; falling business assurance, growing panic among the population, and uncertainty about future.

COVID-19 can affect the global economy in 3 main ways: by directly affecting production and demand, by creating supply chain and market disturbance, and by its financial impact on firms and financial markets.

The market research report covers the analysis of key stakeholders of the DevSecOps market. Some of the leading players profiled in the report include:

Allmed Medical Care Holdings Limited Asahi Kasei Corporation.
Braun Melsungen AG
Bain Medical Equipment (Guangzhou) Co., Ltd.
Baxter International Inc.
Browndove Healthcare (P) Ltd
Chengdu OCI Medical Devices Co., Ltd.
China Chengdu Wesley Biotech Co., Ltd.
FARMASOL Medical Products Ind. and Trd. Co.
Fresenius Medical Care AG & Co. KGaA
Jiangsu Lengthen Life Science and Technology Co., Ltd
Jiangxi SanxinMedtec Co., Ltd.

Research Objective

To analyze and forecast the market size of the global DevSecOps market.
To classify and forecast global DevSecOps market based on the product, power type.
To identify drivers and challenges for global DevSecOps market.
To examine competitive developments such as mergers & acquisitions, agreements, collaborations, and partnerships, etc., in the global DevSecOps market.
To conduct pricing analysis for the global DevSecOps market.
To identify and analyze the profile of leading players operating in the global DevSecOps market.
The report is useful in providing answers to several critical questions that are important for the industry stakeholders such as manufacturers and partners, end-users, etc., besides allowing them in strategizing investments and capitalizing on market opportunities.

Key target audience:

Raw material suppliers
Market research and consulting firms
Government bodies such as regulating authorities and policymakers
Organizations, forums, and alliances related to DevSecOps forums and alliances related to DevSecOps

Security teams are longing for automation capabilities. And, in recent years, their options have improved with Security Orchestration, Automation and Response (SOAR) and other security solutions like Security Information and Event Management (SIEM), Identity and Access Management (IAM), Endpoint Detection and Response (EDR), and Cloud Detection and Response (CDR) offering automation in a narrow capacity.

A recent RSAC blog post suggested that SOAR, because of its likeness to infrastructure as code, is equal to DevSecOps. The article points out that automation and coding are important to security teams, but DevSecOps is more nuanced than that. Though there are elements of workflow automation in SOAR, what sets DevSecOps apart from SOAR is its hyper-reliance on open source and its adoption of an agile approach.

What is SOAR?

Gartner® defines SOAR as “technologies that enable organizations to collect inputs monitored by the security operations team.” SOAR tools ingest data from SIEM systems to define incident analysis and response procedures in a digital workflow format.

What is DevSecOps?

DevSecOps is a modern process methodology typically applied to software development. The goals of DevSecOps are to increase release velocity, eliminate silos between teams, reduce frequency and impact of bugs in production releases, and move security further left in the software delivery process.

These goals are achieved in two ways. One, a cultural shift where teams work together on one platform. In other words, software-defined everything. Two, the use of continuous integration and continuous delivery (CI/CD). CI/CD is a category of software tools that integrate and push code frequently to make sure new versions of an application work. CI/CD tests all aspects of the pipeline, including security, before code is pushed to production.

Why SOAR is unlike DevSecOps

One might confuse the mechanics of SOAR with that of DevSecOps because security teams using a SOAR tool are, in a very high-minded way, embracing the spirit of DevSecOps, which is to use code to automate their work.

But, to be clear, this is where the similarity starts and ends. The two fundamental differences, outlined below, are what really set DevSecOps apart from SOAR.

(1) SOAR has limited support for open source: SOAR tools rarely integrate with open source tools because by nature they primarily integrate with third-party tools like Cisco, Exabeam, Okta or Splunk. The lack of open source integration is a huge deterrent for DevOps teams that rely heavily on open source tools like Git, Ansible and Kubernetes for their work. This impasse isolates security teams from production and discourages DevOps teams from collaborating.

(2) SOAR does not take an agile approach to deliver automation: When security teams using SOAR tools talk about automation, it is within the context of ingesting data from SIEM, managing that data and then automating incident response workflows. This is different from using CI/CD, as in DevSecOps, which allows developers to integrate their new source code, test it, push it and then deploy it to production frequently.

Especially for security teams, CI/CD allows them to iterate in an agile approach, scan the codebase or application for known security vulnerabilities, or run infrastructure and applications against security benchmarks that improve product safety and company-wide security posture.

Therefore, DevSecOps embraces open source and takes an agile approach to automation, whereas SOAR does not on both counts. However, the option for open source is actually ideal for security teams, which like the support and accountability afforded by a large community. Similarly, access to CI/CD is beneficial for security teams, which have long wanted to shift left. In other words, have Dev introduce them early into the software development process so that they can troubleshoot before code makes it to production.

Achieving agility with CI/CD, a DevSecOps focus

SOAR is exclusively a security platform whereas DevSecOps holistically addresses the needs of all teams by embracing CI/CD and open source tools. While SOAR cannot stand in for DevSecOps, DevSecOps solves pain points inherent to SOAR while also offering general-purpose automation that elevates the role and work of security.

Some security teams may be reticent to pursue a DevSecOps solution because CI/CD is traditionally heavily reliant on code. But there are plenty of low-code/no-code options these days. Ideally, teams should source a DevSecOps platform that is all-inclusive; one that contains a visual interface where all levels of coders can collaborate but also contains a powerful back end that caters to DevOps.

The threat landscape is ever-shifting. With security teams needing to do more despite a talent shortage, automation must gain traction to ease the pressures mounting in their domain. Security teams benefit greatly from CI/CD pipelines, which not only replicate and accelerate their manual capabilities but also carve out precious time needed for modernizing their daily work processes. By embracing the spirit and practices of DevSecOps, security teams can become agile through their CI/CD processes.

Halloween is upon us, and while much of the world is focused on scary creatures like ghosts, ghouls, or werewolves, DevSecOps teams have a few scary creatures of their own to deal with.

From the Dracula-like developer stuck in a world from centuries ago who is thwarting the creation of secure apps, to the DevOps ghosts that downplay the importance of app vulnerabilities, it’s important for DevSecOps teams to understand the threats that may be lurking in their own teams.

First off, there are the Dracula-like developers who are stuck centuries in the past. According to Dennis Hurst, founder of Saltworks Security, these developers exist out of a desire not to change the way they write code. “We run into this a lot, of ‘we’ve always built an application this way, why do I need to security test it?’ And they’re not sort of realizing that these applications are now on the internet, they’re public facing, or they’re connected to things that are on the internet, or they’re running in a cloud infrastructure so it’s no longer a nice sort of happy data center,” said Hurst.

According to Hurst, the way for teams to overcome these Dracula-like team members is to have clear leadership. “Without strong leadership, team members feel free to keep doing what they have always done, which stifles innovation,” he said.

Another scary member of the DevSecOps team to look out for are DevOps ghosts, in other words, shadow IT. According to Hurst, these are the people that believe “they can just magically go around all of IT and go straight to the cloud. The applications are there, sort of like ghosts, you hear them rattling around and you know that they’re there but you don’t actually see them, nobody knows about them, they’re kind of – maybe they’ll be there. We see this a lot in security where we find applications running on the internet that no one knew about.”

Hurst added that this isn’t a rare occurrence; it’s actually fairly common, especially with more employees working from home. People go home and take their laptops with them, so how do you secure that?

“A lot of companies have jumped to the cloud for some parts of their business because of COVID, maybe they couldn’t get to the data center,” said Hurst. “So it’s just easier for people to get in their mind that ‘oh, I can just stand this application up in the cloud and when this is all over with we’ll figure out how to get it back in-house.’ We’re definitely seeing it more. We’re seeing more people going to the cloud, maybe using a corporate credit card to open the accounts even, so it’s not even a corporate owned account even, it’s just somebody’s personal credit card that they use to stand up a website somewhere, we see that more than we would like.”

Hurst believes that using monitoring systems is one of the biggest ways to protect against shadow IT. He explained that there are services that monitor the internet looking for properties that point back to or are linked to the company’s IT infrastructure. A big downside is that there isn’t really a proactive way of preventing someone from spinning up a service on their own. “Anyone can go out and stand up a website, but you can monitor to see when it happens. The faster you can address it, the easier it is to manage,” said Hurst. “So if a website is stood up for a day, it’s pretty easy to take that down or get them to move it. If it’s there for 6 months or a year, doing business, it becomes much stickier and challenging to get pulled out because you’re taking business offline.”

From Bespoke Muskets to Interchangeable Software

In 1801, Eli Whitney demonstrated the military value of interchangeable parts to President John Adams and President-elect Thomas Jefferson by disassembling several muskets and reassembling one working firearm from randomly selected parts. Before Whitney’s demonstration, muskets were bespoke, artisanal creations — each component custom-fitted to a specific weapon. Replacing a single part required a skilled gunsmith.

Today, interchangeable parts are taken for granted across every domain of manufacturing, from rifle bolt carriers to vehicle alternators. Yet government information systems frequently suffer from the same problem Whitney solved more than two centuries ago: they are bespoke, tightly coupled constructions that require specialist teams to configure, deploy, modify, or repair when something breaks.

To address that problem, the Department of Defense (DOD) has been accelerating adoption of DevSecOps — an approach that aims to bring the same standardization, repeatability, and resilience to software that interchangeable parts brought to manufacturing.

What Is DevSecOps?

DevSecOps combines three disciplines — Development, Security, and Operations — into a unified culture supported by integrated processes and tooling. The goal is to enable more efficient delivery and ongoing management of secure software at pace.

The critical distinction between DevSecOps and conventional DevOps is the treatment of security. In traditional software development processes — including many Waterfall-era models — security is a checkpoint: a gate the project must pass before release. In DevSecOps, security is a first-class citizen woven into every stage of the lifecycle, from initial design and code review through automated testing, deployment, and post-release monitoring.

Federal adoption is broad. Agencies including the General Services Administration (GSA), the U.S. Air Force, the U.S. Army, and the U.S. Navy have active DevSecOps programs.

The Three Pillars of DevSecOps

1. Processes

From a process perspective, DevSecOps extends beyond the software development lifecycle practices of agile and Continuous Integration/Continuous Delivery (CI/CD) to encompass operational behaviors of the running system — including security posture.

A key enabler is configuration as code: expressing infrastructure and environment configuration in version-controlled files rather than through manual, undocumented procedures. When operational tasks are defined as code, they can be automated, reviewed, tested, and repeated reliably. The practical result is push-button automation — the ability to redeploy an entire infrastructure component, from bare metal to full operational capability, by triggering the appropriate automation playbook. That kind of repeatability dramatically increases system resilience and reduces mean time to recovery.

Iterative delivery also shifts the risk profile of a project. Rather than investing months or years before any working software reaches users, teams release smaller increments, gather real-world feedback, and course-correct continuously. This is the principle of moving risk left — catching problems early, when they are cheapest to fix.

2. Tools

No single product constitutes a DevSecOps platform. There is no “DevSecOps box” you can install in a data center. Successful programs assemble a toolchain covering several functional categories:

• Source code version control — tracking changes and enabling collaboration (e.g., Git-based platforms)
• Build automation — compiling, packaging, and publishing software artifacts on every commit
• Test automation — unit, integration, and end-to-end tests that run without human intervention
• Security validation — static analysis (SAST), dynamic analysis (DAST), dependency scanning, and container image scanning integrated into the pipeline
• Performance testing — load and stress testing to validate that deployments meet operational requirements
• Configuration management — tools such as Ansible, Terraform, or similar that codify infrastructure state
• Project management — issue tracking, backlog prioritization, and team collaboration tools

The emphasis should be on selecting the right classes of tools for your organization’s mission and maturity, rather than replicating another organization’s exact stack. Tooling choices will vary across agencies, classification environments, and mission sets.

3. People and Organizational Culture

The people dimension is often the most challenging aspect of DevSecOps adoption in the federal government. Conway’s Law observes that organizations tend to produce system designs that mirror their own communication structures. Agencies organized into functional silos — separate development, security, and operations branches that communicate primarily through formal ticketing systems — will naturally produce siloed, tightly coupled systems.

DevSecOps requires a different structure. Effective adoption calls for cross-functional product teams in which developers, security engineers, and operations staff work together continuously toward a shared goal: successfully shipping and sustaining a product. Many government agencies are actively flattening hierarchies and reorganizing personnel around products rather than around technical roles.

This restructuring drives results-oriented outcomes. When everyone on a team shares accountability for the security, reliability, and delivery of the same product, the incentives align and velocity improves.

Key Advantages of DevSecOps for Government IT

Shorter Time to Value

Traditional Waterfall development front-loads extensive requirements documentation and design before a single line of production code is written. This approach can lock teams into delivering a large feature set at the first release — features that may not all deliver meaningful value to end users. By contrast, DevSecOps’s iterative feedback loop allows agencies to release smaller, higher-impact increments and measure their effect before committing to the next set of capabilities. The result is a shorter gap between investment and operational value.

Faster Fielding of New Capabilities

Automated pipelines reduce the manual effort required to build, test, and deploy software. With security validation integrated into automation rather than handled as a separate manual review, the time between writing code and having it running in production shrinks substantially. For the DOD, this means new warfighting capabilities or mission-critical tools can reach users in weeks rather than years.

Moving Risk Left

Integrating security testing, compliance checks, and vulnerability scanning into the CI/CD pipeline means defects are found when they are introduced — not months later during a pre-release security audit. Catching a vulnerability during development is orders of magnitude cheaper to fix than discovering it in a production system under operational load. This “shift-left” approach to security is one of the most concrete risk-management benefits DevSecOps delivers.

Increased Resilience Through Automation

When infrastructure configuration is expressed as code and deployments are fully automated, recovery from failures becomes a repeatable procedure rather than a heroic manual effort. The same automation that performs a routine deployment can restore a failed system to a known-good state — reducing downtime and the dependence on individual specialist knowledge that makes bespoke systems so fragile.

Conclusion

Whitney’s interchangeable parts made it possible for soldiers in the field to maintain their own weapons without a gunsmith. DevSecOps pursues an analogous goal for government information systems: standardized, automated, and resilient platforms that can be maintained, extended, and recovered by cross-functional teams rather than bespoke specialist configurations. With broad adoption underway across the DOD and the wider federal government, DevSecOps is no longer an experimental approach — it is becoming the operational baseline for modern government IT delivery.

The Core Problem: Service Account Sprawl in DevOps Environments

Modern DevOps pipelines rely heavily on automation, infrastructure-as-code, and elastic cloud environments. One persistent security friction point in these pipelines is the management of privileged credentials for workloads and services—the non-human accounts that applications use to authenticate to databases, APIs, vaults, and other services.

Traditional approaches to this problem, often called Application-to-Application Password Management (AAPM), improved on hardcoded credentials by moving secrets into a vault. However, they introduced a new operational burden: each application or service still required its own dedicated service account in the vault, complete with a credential and a rotation schedule. In large enterprises, this can mean managing hundreds or thousands of service accounts—slowing down DevOps teams and creating a wide attack surface for adversaries to exploit.

Password vaults were originally designed to manage human administrative logins to servers. Applying them to machine-to-machine authentication at scale creates bottlenecks that developers resent and security teams struggle to govern in fast-moving CI/CD environments.

What Centrify Announced: Delegated Machine Credentials (DMC)

On July 28, 2020, Centrify announced Delegated Machine Credentials (DMC) as part of the Centrify Privileged Access Service (PAS). The feature is designed to address service account sprawl by shifting the unit of identity from the individual application or service to the machine on which those workloads run.

How DMC Works

• Machine enrollment: The Centrify Client enrolls the host machine into the Centrify Platform, giving it a unique machine identity and credential.
• Role-based permissions: The Centrify Platform automatically assigns role-based permissions to the machine and defines which vault APIs that machine is permitted to call.
• Credential delegation: Workloads, applications, containers, and services running on that machine can then delegate the machine’s identity to authenticate to target resources—without needing their own separate service accounts in the vault.
• Scoped, time-limited tokens: Rather than issuing long-lived shared credentials, DMC issues short-lived access tokens scoped to a specific resource and period of time, limiting the window of exposure if a token is compromised.

The result is that one machine identity can serve all the workloads running on it, rather than requiring a separate vault service account for every application, microservice, or container.

The “Federation for Machine Identities” Analogy

Garrett Bekker, principal security analyst at 451 Research (part of S&P Global Market Intelligence), offered a useful conceptual frame for understanding DMC:

“Conceptually, delegated machine credentials can be thought of as ‘federation for machine identities,’ in the sense that rather than applications sharing passwords or secrets directly, the Centrify client can broker a temporary access token between Centrify’s PAS and target resources – applications, service accounts, containers, and APIs. DMC creates a machine identity and issues a scoped token that is only valid for a defined period of time, in lieu of using many service accounts with long-lived credentials that present a greater attack window.”

— Garrett Bekker, Principal Security Analyst, 451 Research / S&P Global Market Intelligence

This federation analogy is instructive for DevSecOps practitioners already familiar with identity federation concepts in human-user SSO: instead of each application managing its own trust relationship with a vault, the machine acts as an intermediary trust anchor, and the Centrify Platform brokers access on its behalf.

Why This Matters for DevSecOps Pipelines

The announcement positions DMC specifically as an enabler of “PAM as a first-class citizen in the CI/CD pipeline.” The practical implications for DevSecOps teams include:

• Reduced manual processes: Eliminating per-application service account creation removes a recurring operational task from already-stretched Ops teams.
• Smaller attack surface: Fewer service accounts with long-lived static credentials means fewer potential entry points for attackers exploiting privileged credential abuse.
• Infrastructure-as-code compatibility: Machine enrollment and permission assignment can be automated, allowing PAM configuration to be managed alongside other infrastructure definitions in tools like Terraform or Ansible—without requiring developers to manually provision vault credentials for each new service.
• Improved developer agility: Developers are no longer required to integrate vault client code into every application that needs to retrieve a credential, reducing friction in the development workflow.

DMC vs. Traditional AAPM: A Comparison

Centrify’s Broader Identity-Centric PAM Position

DMC is part of Centrify’s broader strategy of Identity-Centric Privileged Access Management—a model that emphasizes verifying who (or what) is requesting access, the context of that request, and the risk of the environment, rather than simply managing passwords in a vault. The approach applies least-privilege and just-in-time access principles to both human and machine identities across hybrid and multi-cloud environments.

David McNeely, Chief Strategy Officer at Centrify, summarized the security rationale at the time of the announcement:

“The explosive growth of machine and service accounts in the enterprise is creating a wealth of opportunity for cyber-attackers to sneak into the enterprise. Our infrastructure-as-code approach makes PAM a ‘first class citizen’ in the CI/CD pipeline, eliminating the need for thousands of potential exposure points while increasing agility.”

— David McNeely, Chief Strategy Officer, Centrify

Key Takeaways for DevSecOps Engineers

• If your organization is managing a large number of vault service accounts for automated workloads, DMC-style approaches (whether from Centrify or other vendors) are worth evaluating as a way to reduce that account sprawl.
• Short-lived, scoped tokens are a security improvement over long-lived static credentials for machine-to-machine authentication—a principle also reflected in cloud-native approaches like AWS IAM roles for EC2 instances or Kubernetes service account tokens.
• Embedding PAM tooling into your infrastructure-as-code workflows (rather than bolting it on afterward) reduces the likelihood of credentials being hardcoded or manually managed outside of governance controls.
• Evaluate whether your current AAPM approach requires per-service vault accounts and, if so, what the operational and security cost of that sprawl is at your current scale.

Note: Centrify has undergone corporate changes since this announcement. Readers evaluating Centrify products should verify current product availability and naming directly with the vendor.

This article examines the five most common challenges DevSecOps teams encounter and offers a practical checklist for making the model work in your organization.

Why DevSecOps Matters

The traditional DevOps model integrates software development and operations to accelerate delivery without sacrificing quality. Cross-functional teams share ownership of the entire pipeline, from code commit to production deployment. The approach works well—until a security vulnerability surfaces late in the cycle and forces expensive rework, or worse, ships to production undetected.

DevSecOps extends the model by making the security team a first-class participant from day one. Security requirements, automated scanning, and compliance checks are embedded into the CI/CD pipeline rather than bolted on at the end. The result is faster remediation, lower risk, and a shared responsibility culture that scales with the organization.

5 Major Challenges Faced by DevSecOps Teams

1. Conflicting End Goals

Development and operations teams are incentivized to ship fast. Security teams are incentivized to ship safely. These goals are not mutually exclusive, but without deliberate alignment they create friction. Security engineers push for thorough testing and review gates; developers push for shorter cycle times. When the two groups operate in silos, the result is either security shortcuts or bottlenecked pipelines.

Resolving this tension requires shared objectives at the organizational level—OKRs or SLAs that reward both speed and security posture—so that neither team is penalized for doing its job correctly.

2. Security Treated as an Afterthought

Under deadline pressure, security testing is often deferred to the end of the sprint or release cycle. Vulnerabilities, misconfigurations, and insecure dependencies accumulate in the codebase and are only surfaced when it is most expensive to fix them. The cost to remediate a vulnerability found in production is substantially higher than one caught during design or development.

Shifting security left—integrating static analysis, dependency scanning, and secrets detection directly into developer tooling and pull-request workflows—addresses this pattern without requiring a separate security review phase.

3. Lenient or Poorly Managed Access Controls

DevOps pipelines often require broad access rights: deployment tools need to write to production environments, developers need to read secrets, and CI runners need permission to push container images. When these permissions are granted generously and never audited, the attack surface expands significantly.

A compromised set of privileged credentials—whether from a leaked environment variable, an exposed service account, or a misconfigured CI job—can give an attacker a path directly into production infrastructure. Poorly scoped access controls are one of the most common root causes of cloud environment breaches.

4. Risks from Open-Source Dependencies and Cloud Environments

Modern applications are built on open-source libraries. Dependency chains can run hundreds of packages deep, and any one of those packages may carry a known vulnerability. Research from Synopsys has consistently found that a significant proportion of commercial codebases contain open-source components with known high-severity vulnerabilities. (See the annual Open Source Security and Risk Analysis report for current figures.)

Cloud environments introduce a separate risk surface. Misconfigured storage buckets, overly permissive IAM roles, and unpatched managed services are recurring sources of incidents. Teams that adopt cloud-native development and testing workflows without corresponding cloud security controls inherit these risks by default.

5. Security Testing That Slows the Pipeline

Some security testing tools and processes were designed for waterfall-era release schedules. Running a full dynamic application security test (DAST) or manual penetration test against every build is not compatible with continuous delivery. Teams that try to apply these heavyweight processes to a fast-moving pipeline either slow the pipeline to a crawl or start skipping the tests entirely.

The solution is not to abandon thorough testing but to sequence it appropriately: lightweight automated checks on every commit, deeper scanning on merge to main, and scheduled full-scope testing against stable release candidates.

A Practical DevSecOps Checklist

Addressing the challenges above requires changes to culture, process, and tooling. The following five areas provide a structured starting point.

1. Build a Security-First Culture

DevSecOps is primarily a cultural shift. Security awareness training, threat modeling workshops, and internal security champions programs help spread security knowledge across development and operations teams. When every engineer understands common vulnerability classes—injection flaws, insecure deserialization, broken authentication—they catch issues during code review that would otherwise reach a scanner or, worse, production.

• Run regular internal security workshops and capture-the-flag exercises.
• Embed security champions within each engineering squad.
• Include security criteria in the definition of done for every user story.

2. Implement Privileged Access Management (PAM) and Clear Security Policies

Define and enforce a least-privilege model across the entire pipeline. Service accounts, CI runners, deployment tools, and human operators should each receive only the permissions required for their specific function.

• Store privileged credentials in a secrets manager (e.g., HashiCorp Vault, AWS Secrets Manager) rather than in environment variables or source code.
• Rotate credentials automatically and audit privileged session activity.
• Define and document security policies for code review, vulnerability triage, and incident response, and review them on a scheduled cadence.

3. Manage Vulnerabilities Continuously

Integrate automated vulnerability detection at multiple points in the pipeline rather than relying on a single gate:

• SAST (Static Application Security Testing): Scan source code on every pull request.
• SCA (Software Composition Analysis): Audit open-source dependencies for known CVEs on every build.
• Container image scanning: Scan base images and built images before pushing to a registry.
• Infrastructure-as-Code (IaC) scanning: Check Terraform, CloudFormation, and Kubernetes manifests for misconfigurations before deployment.
• DAST and penetration testing: Schedule deeper testing against staging environments on a regular cadence.

Triage findings by severity and enforce a policy that blocks promotion of builds with critical or high-severity unmitigated issues.

4. Automate Repetitive Security Tasks

Manual security checks are slow and inconsistent. Automation removes the human bottleneck and ensures checks are applied uniformly across every build and deployment.

• Integrate security scanning tools directly into the CI/CD platform (GitHub Actions, GitLab CI, Jenkins, etc.).
• Automate policy-as-code enforcement using tools such as Open Policy Agent (OPA) to gate deployments against defined security baselines.
• Use automated dependency update tools (e.g., Dependabot, Renovate) to keep third-party libraries current.
• Automate compliance reporting to reduce the manual effort required for audits.

5. Use Analytics, AI, and ML to Gain End-to-End Visibility

Modern DevSecOps platforms increasingly incorporate machine learning to reduce alert noise, prioritize findings by exploitability and business impact, and detect anomalous behavior in pipeline activity or runtime environments.

• Aggregate security telemetry—scanner outputs, audit logs, runtime alerts—into a central platform (SIEM or security data lake) for correlation and trend analysis.
• Use ML-assisted tools to distinguish true positives from false positives in SAST and DAST output, reducing developer alert fatigue.
• Apply behavioral analytics to CI/CD pipeline activity to detect supply chain compromises or insider threats.
• Track security metrics over time (mean time to remediate, vulnerability escape rate, coverage of automated checks) to measure and improve your security posture continuously.

Conclusion

The transition from DevOps to DevSecOps is not a one-time project—it is an ongoing organizational commitment to treating security as a shared engineering responsibility. By addressing the five core challenges (conflicting incentives, deferred security, weak access controls, open-source and cloud risks, and slow testing) and implementing the checklist above, teams can deliver software quickly and securely without treating those goals as opposites.

The payoff is significant: fewer costly late-stage remediations, stronger compliance posture, and a development culture where security is a feature rather than a friction point.

What Is DevSecOps?

Traditional software delivery models treated security as a final gate before release. DevSecOps shifts that model by embedding security practices — static analysis, dependency scanning, secrets detection, compliance checks, and runtime protection — at every stage of the CI/CD pipeline. The goal is to surface and remediate vulnerabilities when they are cheapest to fix: during development, not after deployment.

Adoption is driven by several converging pressures:

• Regulatory compliance — frameworks such as SOC 2, PCI-DSS, HIPAA, and GDPR require demonstrable controls over how software is built and deployed.
• Supply chain risk — high-profile incidents involving compromised build pipelines have raised boardroom awareness of software supply chain security.
• Cloud-native complexity — containerized, microservices-based architectures introduce new attack surfaces that traditional perimeter security cannot address.
• Developer velocity — organizations need security tools that integrate into existing workflows (Git, CI/CD, container registries) without blocking releases.

Major Vendors in the DevSecOps Ecosystem

The DevSecOps vendor landscape spans large platform providers, pure-play security companies, and open-source projects. Analysts commonly cite the following established players:

• IBM Corporation — offers integrated security capabilities across its cloud and hybrid-cloud portfolio, including application security testing through its acquisition of HCL AppScan and broader security orchestration tooling.
• Microsoft Corporation — GitHub Advanced Security (secret scanning, code scanning via CodeQL, dependency review) and Azure Defender for DevOps bring native security gates into developer workflows.
• Google LLC — Binary Authorization, Artifact Registry vulnerability scanning, and the SLSA (Supply-chain Levels for Software Artifacts) framework position Google Cloud as an active contributor to supply chain security standards.
• Synopsys — a long-standing provider of SAST (Coverity), SCA (Black Duck), and DAST tooling widely used in enterprise application security programs.
• Palo Alto Networks — its Prisma Cloud platform covers cloud workload protection, container security, IaC scanning, and CI/CD pipeline security under a unified console.
• Qualys — cloud-based vulnerability management, container security, and policy compliance scanning integrated into pipelines.
• Broadcom (formerly CA Technologies and Micro Focus) — CA Technologies was acquired by Broadcom; Micro Focus (now part of OpenText) contributes Fortify for application security testing.
• Chef Software (Progress) — InSpec provides compliance-as-code, enabling policy enforcement to be version-controlled and tested alongside application code.
• Dome9 (Check Point CloudGuard) — acquired by Check Point, now marketed as CloudGuard Posture Management for cloud security and compliance automation.

Beyond these established names, a large ecosystem of specialist tools has emerged — including Snyk (developer-first SCA and SAST), Aqua Security (container and cloud-native security), Checkmarx (application security testing), and HashiCorp Vault (secrets management) — reflecting how fragmented and fast-moving this market remains.

How the DevSecOps Market Is Segmented

Market research firms typically break down the DevSecOps market along three dimensions:

By Component

• Software/Platforms — integrated DevSecOps platforms, SAST, DAST, SCA, IAST, and container security tools.
• Services — consulting, implementation, training, and managed security services layered on top of tooling.

By Deployment Model

• Cloud-based / SaaS — increasingly the dominant delivery model, enabling rapid onboarding and centralized policy management across distributed teams.
• On-premises — required in air-gapped or highly regulated environments (defense, financial services, healthcare).

By Organization Size and Vertical

• Enterprise — typically drives the largest deal sizes, with complex compliance requirements and existing security toolchains to integrate.
• SMB — growing adoption as cloud-native SaaS tools lower the entry barrier.
• Verticals — financial services, healthcare, government, and technology/software sectors tend to be early and heavy adopters due to regulatory pressure and breach exposure.

Key Market Drivers and Challenges

Drivers

• Increasing frequency and sophistication of software supply chain attacks.
• Executive and board-level prioritization of cybersecurity investment.
• Growing adoption of cloud-native architectures (Kubernetes, serverless) that require new security tooling paradigms.
• “Shift-left” mandates from CISOs pushing security earlier into the SDLC.
• Expansion of open-source tooling (Trivy, Grype, Semgrep, OPA/Gatekeeper) that lowers adoption barriers and accelerates market education.

Challenges

• Alert fatigue — poorly tuned tools generate high false-positive rates, eroding developer trust and leading to alert suppression.
• Skill gaps — bridging security and engineering disciplines requires training, cultural change, and hiring that many organizations struggle with.
• Toolchain fragmentation — organizations often manage a patchwork of overlapping point solutions, creating integration overhead and coverage gaps.
• Pipeline performance — heavyweight security scans can slow CI pipelines if not carefully optimized with incremental or parallel scanning strategies.

Competitive Dynamics

The DevSecOps vendor landscape is consolidating in some areas while fragmenting in others. Large platform vendors (Microsoft, Google, GitLab, and JFrog) are embedding security capabilities natively into their developer platforms, raising the question of whether standalone security tools can maintain differentiation. At the same time, specialist vendors compete on depth — more accurate SAST engines, broader language coverage, or richer runtime telemetry — targeting enterprises that need best-of-breed capabilities beyond what platform-native tools provide.

Acquisition activity has been significant: Snyk has absorbed several smaller players, Palo Alto Networks built Prisma Cloud through a series of acquisitions (Twistlock, PureSec, Aporeto), and Check Point absorbed Dome9. This consolidation is expected to continue as buyers seek fewer, deeper integrations rather than managing many independent tools.

Regional Considerations

North America leads DevSecOps adoption by revenue, driven by a mature enterprise software market, strong regulatory enforcement, and a large base of technology companies. Europe follows, with GDPR compliance requirements and growing national cybersecurity mandates (such as the EU Cyber Resilience Act) accelerating investment. Asia-Pacific is the fastest-growing region by adoption rate, with financial services and government sectors in Singapore, Australia, Japan, and India driving demand.

Practical Takeaways for Engineering and Security Teams

Market reports are useful for budget justification and competitive benchmarking, but the more actionable questions for engineering teams evaluating DevSecOps tooling are:

• Where are our riskiest gaps? — Start with a threat model before evaluating tools. Identify whether the highest priority is dependency vulnerabilities, secrets exposure, container image hygiene, IaC misconfigurations, or runtime threats.
• What integrates with our existing stack? — A tool that fits natively into your existing CI/CD platform (GitHub Actions, GitLab CI, Jenkins, Azure Pipelines) will see far higher adoption than one requiring a separate workflow.
• How do we measure false-positive rates? — Request benchmark data from vendors using codebases similar to yours, or run a proof-of-concept with real code before committing.
• What is the developer experience? — Security tools that surface actionable, contextualized findings in the IDE or pull request review get fixed; findings buried in a separate security portal often do not.
• Can we start with open-source? — Tools like Semgrep, Trivy, Grype, detect-secrets, and Checkov provide a strong baseline with no licensing cost, allowing teams to build maturity before evaluating commercial alternatives.

The DevSecOps market will continue to evolve rapidly. The vendors that succeed long-term will be those that reduce friction for developers while providing the depth and auditability that security and compliance teams require — a balance that remains genuinely difficult to strike.

What Is DevSecOps?

Like DevOps, DevSecOps operates within an Agile framework that breaks projects into manageable, iterative chunks. The critical distinction is that DevSecOps integrates security into every phase of the development process rather than treating it as a final gate before release.

In traditional waterfall models, security reviews typically happened late in the project lifecycle, often only after a product was nearly complete. DevSecOps replaces that pattern by compelling continuous communication between development, operations, and security teams from day one.

DevSecOps makes every team member responsible for security. It merges two goals that have historically been in tension — writing secure code and delivering software quickly — into a single streamlined process. Security issues are addressed as they arise during development, rather than discovered after a vulnerability surfaces in production. This means thinking through infrastructure security, database hardening, and application-level controls from the very beginning of a project.

Why Is DevSecOps Important?

The push toward DevSecOps is driven by two significant and interconnected shifts in the software industry.

1. New Infrastructure Technologies

Technology infrastructure has undergone transformational change over the past two decades. The widespread adoption of cloud computing, shared resources, containers, and dynamic provisioning has delivered extraordinary gains in speed, cost efficiency, and scalability. These capabilities have dramatically expanded what application development teams can achieve.

Cloud-native deployment in particular has turbocharged development scale and velocity, accelerating the shift toward DevOps and agile methodologies. Monolithic, multi-year software launches have given way to continuous delivery pipelines where code ships weekly, daily, or even multiple times per day.

2. The Pace of Modern Development

In earlier software development models, security reviews were feasible at the end of a project because projects routinely spanned many months or years. Security teams had time to conduct thorough audits before a product reached users.

DevOps has compressed that timeline to weeks or even days per iteration. Legacy compliance monitoring tools and security workflows were not designed for this pace of change. If security practices are not adapted to match modern delivery speeds, organizations face an ever-growing risk of vulnerabilities shipping directly into production environments undetected.

Key Benefits of DevSecOps

Integrating security earlier in the development cycle produces compounding advantages over time. Greater security automation reduces the risk of human error and misconfiguration, both of which can inadvertently introduce vulnerabilities or cause production outages. The specific benefits include the following.

Reduced Manual Security Configuration Overhead

DevSecOps reduces the time security architects spend manually configuring security controls sprint after sprint. Functions such as firewall rule management, vulnerability scanning, identity and access management (IAM), and secrets management can be automated and embedded directly into CI/CD pipelines. This frees security teams to focus on policy design, threat modeling, and higher-value strategic work.

Security Becomes an Enabler, Not a Blocker

A common friction point in software organizations is that developers perceive security requirements as obstacles to innovation and speed. DevSecOps shifts that dynamic by embedding security tooling and practices into existing developer workflows — through IDE plugins, pre-commit hooks, automated static analysis (SAST), and dependency scanning — rather than adding external approval gates.

When security is a natural part of the development workflow rather than a final hurdle, teams can build products that are both innovative and secure. This also delivers better return on investment from an organization’s security infrastructure and improves operational efficiency across IT and security roles.

Earlier Detection of Vulnerabilities

Attackers actively target applications in production, probing for vulnerabilities, deploying malware, and exploiting misconfigured systems. When a major vulnerability is discovered after a product is already live, the potential damage to organizational reputation and user trust is significant — and remediation is far more expensive than catching the same issue during development.

Continuous vulnerability testing throughout the DevSecOps pipeline means security gaps are identified and remediated early, when the cost and complexity of fixing them is lowest. This is sometimes described as “shifting security left” — moving security validation earlier in the development process.

Additional Operational Benefits

• Greater agility for security teams responding to emerging threats
• Faster feedback loops between developers and security reviewers
• Improved cross-team communication and shared ownership of risk
• More opportunities for automated security testing at every pipeline stage
• Enhanced product reliability and reduced production incidents
• Improved operational efficiency across development, operations, and security departments

Common Obstacles to DevSecOps Adoption

Transitioning to DevSecOps is not without challenges. Organizations often encounter the following barriers.

• Skills gap: The number of security professionals with hands-on DevSecOps experience remains relatively low. Finding engineers who are fluent in both secure coding practices and CI/CD toolchains can be difficult.
• Cultural resistance: Shifting security responsibility to the entire development team requires a meaningful cultural change that not all organizations find easy to navigate.
• No universal playbook: There is no single DevSecOps implementation that fits every organization. Differences in regulatory requirements, existing infrastructure, toolchains, and business goals mean each organization must tailor its approach.
• Legacy tooling: Existing governance and compliance tools may not integrate cleanly with modern CI/CD pipelines, requiring investment in new tooling or significant customization.

None of these challenges is insurmountable. As DevSecOps matures as a discipline and more organizations document successful implementations, the knowledge base and available tooling continue to improve.

DevSecOps Is DevOps Done Well

For much of software development history, application security was treated as an afterthought — a final checkpoint that slowed releases and was often minimized in the interest of competitive speed. Bypassing or trivializing security is a risky strategy with potentially severe consequences once an application is in production.

DevSecOps reframes security as a foundational engineering concern. DevOps teams must automate security controls to protect not just the development environment and its data, but also the integrity of the CI/CD pipeline itself. The goal is to release code quickly and securely — not to choose one at the expense of the other.

Organizations that have adopted this philosophy report positive outcomes from integrating security earlier, shortening feedback loops, strengthening controls, and reducing production incidents through shared team responsibility.

If you are going to do DevOps well, it must include a meaningful security component. That, in essence, is what DevSecOps is.

The Core Problem: Security as an Afterthought

Speed and agility are foundational to DevOps culture and digital transformation. For many organizations, shipping fast has become a competitive necessity. But velocity cannot come at the cost of security. When security is treated as a final gate before release rather than an integral part of development, vulnerabilities accumulate, remediation costs rise, and the feedback loop becomes too slow to be useful.

The answer is not to slow down development. It is to embed security practices directly into the continuous integration/continuous deployment (CI/CD) pipeline so that secure code is the default output, not an afterthought.

Embracing DevSecOps

DevSecOps extends the DevOps philosophy by making security a shared responsibility across development, operations, and security teams. Rather than relying on a dedicated security team to audit code at the end of a sprint or release cycle, DevSecOps integrates security controls, automated scanning, and secure coding practices throughout every stage of the software development lifecycle (SDLC).

In practice, this means developers must own a meaningful portion of application security. They need to understand not just what secure coding looks like, but why specific patterns are dangerous and how to identify and fix them in the languages and frameworks they use every day.

A significant gap exists here: traditional computer science education rarely covers application security in depth. It is entirely possible for a developer to graduate with an advanced degree and have little practical exposure to secure coding patterns, common vulnerability classes, or threat modeling. Organizations adopting DevSecOps must close this gap deliberately.

Why Compliance-Driven Training Falls Short

Many organizations approach security training primarily through a compliance lens. Frameworks such as PCI-DSS do mandate ongoing application security training, and satisfying that requirement is a legitimate goal. The problem arises when compliance becomes the only goal.

Compliance-driven training tends to optimize for box-checking rather than skill-building. Developers learn the fastest path to completing mandatory training rather than the most effective way to write secure code. This approach has several negative side effects:

• Developers disengage from security content they perceive as bureaucratic rather than relevant.
• It can reinforce an adversarial dynamic between developers and security teams.
• Skills acquired for compliance purposes rarely transfer to production code habits.
• The training rarely matches the languages, frameworks, or threat models the team actually works with.

Compliance requirements should be a floor, not a ceiling. Design training programs that satisfy compliance needs while going substantially further in building genuine developer capability.

Designing Effective Developer Security Training

1. Make It Hands-On

Passive content—videos, webinars, slide decks—has limited impact on skill retention. Interactive, hands-on labs are significantly more effective for teaching secure coding practices. Developers should be able to:

• Write and test secure code in a realistic environment.
• Exploit intentionally vulnerable applications to understand attack vectors from an adversary’s perspective.
• Patch those vulnerabilities and verify the fix holds up.
• Work at their own pace with guided feedback rather than timed, high-pressure assessments.

This hands-on approach builds muscle memory. A developer who has manually exploited a SQL injection vulnerability and then patched it is far less likely to introduce that class of vulnerability in their own code.

2. Build Incentives and Healthy Competition

Motivation matters. Training programs that incorporate gamification elements tend to see higher completion rates and better skill retention. Practical approaches include:

• Capture the Flag (CTF) events: Custom CTF challenges focused on the vulnerability classes most relevant to your codebase give developers a competitive, engaging context for applying security skills.
• Leaderboards: Tracking individual progress and surfacing rankings creates positive peer pressure and a sense of achievement.
• Badges and milestones: Recognizing progress publicly (where culturally appropriate) reinforces the value the organization places on security skill development.

The goal is to make security skill-building feel like professional growth, not a compliance tax.

3. Tailor Training to Your Stack

Generic security training rarely sticks because it rarely feels relevant. A developer writing Python microservices has different security concerns than one building Java enterprise applications or Node.js APIs. Training should be aligned to:

• The languages and frameworks your teams actually use.
• The threat model that applies to your applications and data.
• The specific vulnerability classes most commonly found in your codebase or industry vertical.

When developers can immediately apply what they have learned to the code in front of them, the training has measurable impact.

Integrating Security Into the CI/CD Pipeline

Training builds knowledge, but pipeline integration enforces it at scale. A mature DevSecOps pipeline typically includes automated security checks at multiple stages:

• Pre-commit hooks: Lightweight static analysis or secret scanning runs locally before code is pushed, giving developers immediate feedback.
• Static Application Security Testing (SAST): Automated SAST tools scan source code for known vulnerability patterns as part of the CI build. Failing builds on high-severity findings forces issues to be addressed before merge.
• Software Composition Analysis (SCA): Dependency scanning identifies vulnerable third-party libraries and surfaces them early in the pipeline.
• Dynamic Application Security Testing (DAST): Automated DAST tools probe running applications in staging environments to identify runtime vulnerabilities that static analysis may miss.
• Infrastructure as Code (IaC) scanning: Security checks on Terraform, CloudFormation, or Kubernetes manifests prevent misconfigured infrastructure from reaching production.

The principle behind all of these is shift left: move security validation as early in the development process as possible, where defects are cheapest to fix and the feedback loop is tightest.

Building a Developer-Centric Security Culture

Technical controls and training programs are necessary but not sufficient. The culture around security matters as much as the tooling. Some practical steps to foster a developer-centric security culture include:

• Security champions: Identify and empower developers within each team who have an interest in security. They serve as a bridge between the security team and engineering, promoting secure practices without creating an us-versus-them dynamic.
• Blameless post-mortems: When vulnerabilities are found—in production or in review—treat them as learning opportunities rather than failures to be punished. This encourages transparency and continuous improvement.
• Clear, actionable policies: Developers cannot follow security policies they do not understand. Document secure coding standards in plain language, tie them to the languages and frameworks in use, and keep them accessible in the tools developers already use (wikis, IDEs, PR templates).
• Security team availability: Security engineers should be approachable consultants, not gatekeepers. Embedding security team members in engineering sprints or establishing a Slack channel for quick security questions reduces friction and builds trust.

Key Takeaways

• Security cannot be a release-gate afterthought in a DevOps environment. It must be embedded throughout the SDLC.
• Traditional education leaves most developers underprepared for application security. Organizations must invest in closing this gap.
• Compliance-driven training optimizes for box-checking, not skill-building. Go beyond the minimum.
• Hands-on, gamified, language-specific training is more effective than passive content consumption.
• Automated security tooling in the CI/CD pipeline enforces secure coding practices at scale and at speed.
• Culture matters: security champions, blameless processes, and accessible security teams accelerate DevSecOps maturity.

Building security into the pipeline is not a one-time project. It is an ongoing practice that matures as your teams grow in skill, your tooling improves, and your threat landscape evolves. The organizations that treat it as a continuous discipline—rather than a compliance checkbox—are the ones that ship fast and ship securely.

GitLab 13.0: The 2020 Major Release

GitLab 13.0 landed in May 2020 as the company’s headline release for the year. While GitHub remains the dominant player in hosted code repositories — with Atlassian’s Bitbucket also widely used — GitLab occupies a distinct market position: a single, integrated platform for the entire DevSecOps lifecycle, from planning and source control through CI/CD, security scanning, Kubernetes management, and monitoring.

Unlike GitHub or Bitbucket, the core of GitLab is open source. The free Community Edition is a popular choice for self-hosted installations, giving organisations full control over their data and infrastructure.

Key New Features in GitLab 13.0

Gitaly Cluster: High-Availability Git at Scale

The headline infrastructure improvement in 13.0 is Gitaly Cluster support. Brendan O’Leary, GitLab’s senior developer evangelist at the time, explained the problem it solves:

“Git itself can be hard to scale — it is a filesystem-based database. That works great on NFS, but in the cloud world it’s a challenge. Our solution has been the open-source product Gitaly, which is a gRPC layer between Git and a system that’s consuming Git. What’s coming in 13.0 is Gitaly Clusters, which is the ability to have multiple write destinations, so you can now shard your data and have it be highly available. It removes the requirement for NFS.”

— Brendan O’Leary, Senior Developer Evangelist, GitLab

For engineering teams running large self-managed GitLab installations, this matters significantly. NFS-based Git storage has long been a reliability and performance bottleneck. Gitaly Cluster replaces that dependency with a replicated, highly available architecture suitable for cloud-native deployments.

Security Enhancements: CVE Authority, .NET SAST, and DAST for REST APIs

Security is a major theme in 13.0, reflecting GitLab’s positioning as a DevSecOps platform rather than simply a DevOps one:

• CVE Numbering Authority: GitLab became a CVE Numbering Authority (CNA), meaning teams can request CVE identifiers directly from within the GitLab UI. This simplifies responsible disclosure workflows for open-source projects hosted on GitLab.
• SAST for .NET Framework: Static Application Security Testing (SAST) coverage was extended to .NET Framework code. Previously, only .NET Core was supported.
• DAST for REST APIs: Dynamic Application Security Testing now supports REST APIs, covering a critical attack surface in modern microservices architectures.

Design Management Moves to Community Edition

A significant benefit for free-tier users: Design Management, previously restricted to GitLab Premium, is now available in the Community Edition. This feature allows designers and product contributors to upload and discuss design assets directly within GitLab issues, keeping design review in the same workflow as code review.

Progressive Delivery and Feature Flags

Progressive Delivery — releasing features to a subset of users before a full rollout — received further investment in 13.0:

• Feature flag lists now have full API support for create, edit, and delete operations, enabling automation in release pipelines.
• A/B testing based on feature flags was flagged as an upcoming capability.
• The ability to create feature flags directly from merge requests was also on the near-term roadmap at the time of release.

Does GitLab Play Nicely with the Rest of the DevOps Ecosystem?

GitLab’s all-in-one ambition is both its key differentiator and a source of friction with the broader DevOps tooling ecosystem. Specialist vendors — in security scanning, monitoring, artifact management, and other areas — view GitLab’s expanding feature set as competitive pressure.

O’Leary acknowledged the tension and described how GitLab is addressing it:

“We think that the more you can adopt a single application the more benefits you get, but that’s not realistic for an enterprise tomorrow — they’re not going to throw everything they have out. We have in our handbook that we need to interoperate with others, and we’ve got a lot better at that recently. We’ve got an ecosystem team now that’s responsible for how we play with others, and we didn’t used to have that. Another thing we’ve added is first-class support for other security scanning integrations.”

— Brendan O’Leary, Senior Developer Evangelist, GitLab

For DevOps engineers evaluating GitLab in organisations with established toolchains, this is a practical consideration. GitLab’s pipeline architecture supports third-party integrations through its CI/CD configuration, and the addition of an ecosystem team signals a shift from a purely “replace everything” posture toward genuine interoperability.

GitLab’s Development Model: Open and Iterative

GitLab operates as a fully remote company and applies Agile minimum viable product (MVP) principles to its own development. New features are introduced with core functionality and refined through subsequent releases. Because development progress is publicly visible, engineers can track upcoming features well before they ship — reducing surprise and enabling better adoption planning.

The company published both video and text “kickoff” content for the 13.0 release, consistent with its handbook-driven, transparent culture.

Context: Remote Work and the 2020 Market

GitLab 13.0 launched during the early months of the COVID-19 pandemic, a period when remote work went from optional to mandatory for most software teams globally. O’Leary noted a significant uptick in interest in remote work practices, an area where GitLab — as a fully distributed company — had years of documented experience and public handbook content to share.

Summary

GitLab 13.0 represents a meaningful step in GitLab’s DevSecOps maturity, particularly for teams running large self-managed deployments who will benefit from Gitaly Cluster, and for Community Edition users gaining design tooling. The continued investment in security capabilities and ecosystem interoperability makes it a release worth evaluating even for organisations not fully committed to the GitLab-only stack.

DevOps Adoption Is Accelerating — And Reshaping Org Charts

The boundaries between development, security, and operations teams are eroding. According to GitLab’s Global DevSecOps Survey, rising DevOps adoption is changing not just toolchains but job functions — blurring traditional role definitions across the entire software delivery lifecycle.

GitLab CEO and co-founder Sid Sijbrandij acknowledged the momentum while noting that significant work remains: “DevOps practitioners are working with faster release times, continuous integration and deployment, and progress towards shifting test and security left. That said, there is still significant work to be done, particularly in the areas of testing and security.”

Developers Are Taking On Operations Responsibilities — Partially

One of the survey’s clearest signals is how the developer role is expanding into traditionally ops-owned territory — but incompletely:

• 35% of developers say they define and/or create the infrastructure their application runs on.
• Yet only 14% say they monitor and respond to that same infrastructure — a task still largely owned by operations.
• More than 18% of developers instrument code for production monitoring.
• 12% serve as an escalation point during incidents.

This gap — where developers build infrastructure but rarely own its operational health — points to a structural ambiguity that can create blind spots in both reliability and security.

CI/CD Adoption Is Real, But Uneven

The survey confirms what many practitioners report anecdotally: DevOps tooling is delivering measurable speed improvements, but adoption of its more advanced practices remains fragmented.

• 83% of developers report releasing code more quickly after adopting DevOps.
• 38% said their DevOps implementation includes CI/CD.
• 29% include test automation in their DevOps practice.
• 16% have extended their practice to DevSecOps.
• Nearly 9% are working in multi-cloud environments.

While 60% of companies deploy multiple times per day, once a day, or once every few days, the maturity of their testing and security practices often lags that cadence.

Testing Is a Persistent Weak Link

Despite the industry-wide push toward continuous testing, the survey reveals a significant gap between deployment velocity and test coverage:

• Only 12% of respondents claim to have full test automation.
• Over 42% say testing happens too late in the development lifecycle.
• More than 42% of security respondents agree that testing occurs too late — consistent with the previous year’s findings.

Fast release cycles without proportionally mature test automation create compounding risk: bugs and vulnerabilities that could be caught early instead surface in production.

Security Ownership: Everyone — and No One

Perhaps the most operationally significant finding is the lack of consensus around who owns application security. The data reveals a fragmented picture:

• More than 25% of developers feel they are solely responsible for security.
• 23% of testers and 21% of operations professionals report the same feeling.
• On the security side, 33% of security team members say they “own” security.
• 29% of security professionals believe everyone should share responsibility equally.

When ownership is distributed this unevenly — and without clear process — accountability gaps emerge. Security teams consistently report that developers are not finding sufficient bugs in early development stages, and are slow to prioritize fixing those that are found. This pattern repeated from the previous year’s survey.

Security Teams See Ongoing Friction

Security professionals responding to the survey flagged three recurring pain points in their collaboration with development teams:

• 36% said it was hard to understand, process, and fix discovered vulnerabilities.
• 31% found prioritizing vulnerability remediation difficult.
• 42%+ reiterated that testing and security checks occur too late in the lifecycle.

GitLab Vice President of Security Johnathan Hunt framed the core challenge: “Although there is an industry-wide push to shift left, our research shows that greater clarity is needed on how teams’ daily responsibilities are changing, because it impacts the entire organisation’s security proficiency. Security teams need to implement concrete processes for the adoption of new tools and deployments in order to increase development efficiency and security capabilities.”

What This Means for DevSecOps Teams

The survey data points to a set of practical challenges that teams at any DevOps maturity level should address:

1. Define security ownership explicitly. Informal shared ownership — where everyone feels responsible but no one is accountable — is not a strategy. Document who owns vulnerability triage, remediation timelines, and sign-off at each pipeline stage.
2. Automate security checks in the pipeline. With only 16% reporting DevSecOps implementations, most teams have room to integrate SAST, DAST, dependency scanning, and container scanning into existing CI/CD workflows rather than treating them as post-deployment steps.
3. Invest in test automation incrementally. Moving from near-zero automation to full automation is rarely achievable in a single effort. Target the highest-risk code paths first and build coverage over time.
4. Align on role changes proactively. As developers take on infrastructure creation and monitoring responsibilities, update job expectations, training, and on-call rotation policies accordingly — before incidents expose the gap.

About the Survey

GitLab’s Global DevSecOps Survey gathered responses from more than 3,650 software professionals across 21 countries. The survey covers developer, operations, security, and testing roles, making it one of the broader cross-functional datasets available on DevOps and DevSecOps adoption trends.

Original reporting via itbrief.co.nz.

The Core Problem: Security Debt Is Going Unresolved

Cloud IT environments have grown so complex that many security issues are not just difficult to fix — they are effectively left unaddressed. According to the State of DevSecOps report commissioned by Accurics, only 4% of security issues identified in production are actually remediated. The sheer complexity of modern cloud-native stacks is widening the enterprise attack surface in ways that traditional security tooling was never designed to handle.

About the Report

The report was commissioned by Accurics, a company that focuses on addressing security through infrastructure as code (IaC) practices. The research examines how increased cloud complexity is exposing gaps that point security solutions cannot cover adequately.

“The crux of the issues lies in the fact that as the cloud-native stacks become more complex, point cloud security solutions become inadequate and gaps in coverage start to emerge.”

— State of DevSecOps Report, Accurics

Cloud-Native Adoption Is Outpacing Security Controls

The report highlights rapid adoption of technologies that each introduce their own security considerations:

• 84% of surveyed organizations are using containers.
• 41% are using serverless computing.
• Service mesh adoption is also increasing, further expanding the attack surface.

Each additional layer in the cloud-native stack — containers, orchestration, serverless functions, service meshes — introduces new configuration surfaces and potential misconfigurations. As Piyush Sharrma, CTO at Accurics, explains:

“Cloud infrastructure goes far beyond traditional network, storage, and compute; organizations are rapidly adopting new technologies such as serverless, containers, and service mesh. Cloud infrastructure is becoming increasingly immutable: it is never modified after it is deployed. If something needs to be changed, new infrastructure has to be provisioned through code.”

— Piyush Sharrma, CTO, Accurics

What ‘Immutable Infrastructure’ Means for Security

The term immutable infrastructure refers to a paradigm in which deployed resources are never patched or modified in place. Instead, any change — including a security fix — requires tearing down the existing resource and reprovisioning it from updated code. This approach offers reproducibility and consistency, but it also creates a specific security risk: if an organization’s infrastructure-as-code definitions contain flaws or misconfigurations, those flaws propagate to every deployment that follows.

The immutability model demands that security be embedded into the IaC pipeline from the start, because retrofitting fixes after deployment is structurally more expensive and disruptive than in traditional mutable environments.

Configuration Drift: The Silent Risk

One of the most significant findings concerns configuration drift — the divergence between the declared state of infrastructure in code and its actual runtime state. The report found that in 90% of cloud deployments, the security baseline had shifted because privileged users made ad-hoc changes directly to live infrastructure without updating the underlying IaC definitions that were intended to be the single source of truth.

This is a critical DevSecOps failure mode: the code declares one security posture, but the running environment reflects another. Automated scanning of IaC templates may show a clean bill of health while the live environment remains misconfigured.

Exposed Cloud Storage: An Avoidable Problem

The report found that approximately two-thirds of reported security issues involved exposed cloud storage services — resources made publicly accessible due to what the authors describe as “egregious mistakes” that best practices would prevent. Misconfigured object storage buckets, overly permissive access control lists, and the absence of encryption at rest remain persistent problems across organizations of all sizes.

These are not sophisticated attack vectors. They are preventable errors that automated policy enforcement in IaC pipelines — using tools that scan Terraform, CloudFormation, or similar templates before deployment — can catch before infrastructure is provisioned.

Real-World Impact: The Kinsing Malware Example

The report cites the Kinsing malware campaign as a concrete example of how misconfigurations translate into breaches. Attackers exploited a misconfigured API port to gain access to container clusters and deploy cryptomining malware. The attack required no vulnerability in the container runtime itself — an exposed port and a missing authentication control were sufficient.

This illustrates the practical consequence of the 4% remediation rate: the vast majority of known misconfigurations sit unaddressed long enough for threat actors to find and exploit them.

Key Takeaways for DevSecOps Teams

• Shift security left into the IaC pipeline. Scan infrastructure templates for misconfigurations before they are deployed, not after.
• Enforce policy as code. Use tools that codify security baselines and flag deviations automatically in CI/CD pipelines.
• Prevent configuration drift. Restrict direct access to live infrastructure and require all changes to flow through version-controlled IaC definitions.
• Audit privileged access. Privileged users making out-of-band changes are a primary driver of drift and untracked risk.
• Do not rely on point solutions alone. As cloud-native stacks grow in complexity, individual security tools covering only one layer are insufficient. A platform-level view of risk across IaC, runtime, and identity is required.

Bottom Line

The fundamental message of the Accurics State of DevSecOps report is that cloud-native complexity has made reactive security untenable. When only 4% of production issues are being fixed, the remediation model is broken. DevSecOps disciplines — embedding security into code, pipelines, and automation — are not optional improvements; at the scale and immutability of modern cloud infrastructure, they are the only viable path to a manageable security posture.