This article is based on reporting originally published at helpnetsecurity.com. Some product-specific claims relate to Checkmarx’s platform as described in that source.
Why Software Security Has Never Been More Critical
Modern life runs on software. We work, learn, shop, communicate, and consume entertainment through digital services, and the pace at which new software ships has accelerated sharply. This reality creates a direct link between software quality and public safety, economic stability, and personal privacy. When vulnerabilities slip into production, the consequences—data breaches, service outages, regulatory fines—can be severe and far-reaching.
Two facts have become increasingly difficult to ignore as organizations scale their software delivery:
- Software security is not optional—it must be built in, not bolted on.
- Automated application security testing (AST) integrated into developer workflows is the only realistic way to achieve security at the pace modern DevOps demands.
The Core Challenges of Software Security in a DevOps Context
Software security, at its core, means proactively building software that is resilient to cyberattacks. It means treating security as a first-class concern at every phase of the Software Development Lifecycle (SDLC)—from design and coding through testing, deployment, and maintenance—and finding and remediating vulnerabilities before they reach production.
In practice, many organizations struggle to operationalize this. Common failure modes include:
- Poor SDLC integration: Security tools that operate outside normal developer workflows create friction and are routinely bypassed or deprioritized.
- Incomplete coverage: Focusing on only one phase of the SDLC (for example, only scanning at release) leaves gaps that attackers can exploit.
- Ignoring developer needs: Security tooling designed for security teams rather than developers produces noisy, poorly contextualized results that developers don’t act on.
- Lack of automation: Manual security reviews cannot keep pace with continuous delivery pipelines releasing code multiple times per day.
What Is DevSecOps and Why Does It Matter?
DevOps aligns development and operations teams to deliver software faster and more reliably. DevSecOps extends that model by embedding security into every stage of the DevOps pipeline, making it a shared responsibility across developers, security engineers, and operations staff rather than a gate managed solely by a security team at the end of the process.
The goal is not to slow down delivery but to make security a natural byproduct of good engineering. A well-implemented DevSecOps program typically involves:
- Integrating security scanning directly into CI/CD pipelines and source code management systems.
- Giving developers immediate, actionable feedback on vulnerabilities in their own tooling environment (IDEs, pull request workflows, ticketing systems).
- Automating as much of the testing and triage process as possible to reduce the lag between vulnerability detection and remediation.
- Providing ongoing security education and awareness so developers build secure habits over time.
Key Application Security Testing Techniques
A mature DevSecOps program typically combines multiple complementary AST techniques to achieve broad SDLC coverage:
Static Application Security Testing (SAST)
SAST analyzes source code, bytecode, or binary code without executing the application. It can be run as early as the coding phase—often directly in an IDE or on a pull request—making it one of the earliest signals a developer can receive about a potential vulnerability. SAST is effective at catching common coding flaws such as injection vulnerabilities, insecure cryptography usage, and input validation errors.
Software Composition Analysis (SCA)
Modern applications are largely assembled from open source libraries and third-party components. SCA tools inventory those dependencies and flag components with known vulnerabilities (typically tracked against databases such as the National Vulnerability Database). A key differentiator among SCA tools is the ability to identify not just whether a vulnerable component is present, but whether the vulnerable code path is actually reachable in the application—an approach sometimes called “exploitable path” analysis. This prioritization reduces alert fatigue and focuses remediation effort where it matters most.
Interactive Application Security Testing (IAST)
IAST instruments a running application—typically during functional or integration testing—to observe how data flows through the application in real time. Because it analyzes actual execution rather than static code, IAST produces low false-positive results and can surface vulnerabilities that are difficult to detect statically, such as certain injection flaws and configuration issues.
Dynamic Application Security Testing (DAST)
DAST tests a running application from the outside, simulating the perspective of an attacker. It is most useful later in the SDLC, during staging or pre-production, and is particularly effective at identifying runtime and configuration vulnerabilities that static analysis cannot detect.
Automating Security Earlier: Shifting Left in Practice
A common instinct is to automate application security testing at the CI/CD pipeline level. While CI integration is valuable, it can introduce friction: setup time is often significant, CI pipelines may be inflexible, and scan results can block builds in ways that frustrate developers without improving outcomes.
An alternative—and often more effective—approach is to trigger security scanning at the source code management (SCM) layer. When a developer pushes code or opens a pull request in a system such as GitHub, GitLab, Bitbucket, or Azure DevOps, an orchestration layer can automatically initiate the appropriate scans and route results back to the developer as comments, tickets, or IDE notifications—without interrupting the CI pipeline or blocking delivery unnecessarily.
This SCM-first approach offers several practical advantages:
- Vulnerabilities are surfaced while the relevant code is fresh in the developer’s mind, making remediation faster and more accurate.
- Results are delivered in the tools developers already use, reducing context-switching.
- Scanning is decoupled from the CI pipeline, so it does not add latency to the build process.
- Tickets and remediation workflows can be created automatically, reducing manual handoff between security and development teams.
Developer Education as a Security Control
Tooling alone is not sufficient. Developers who understand why a particular coding pattern is dangerous—and who have practiced writing secure code—will produce fewer vulnerabilities in the first place. Embedding security training directly into the development workflow, triggered in context when a vulnerability type is detected, is significantly more effective than periodic classroom-style training.
In-context training (sometimes called developer security awareness training) presents short, relevant exercises at the moment a developer encounters a specific vulnerability type. This approach ties learning directly to real work, improving retention and reducing the likelihood of the same mistake recurring.
Evaluating Application Security Testing Tools: What to Look For
When assessing AST solutions for a DevOps environment, consider the following criteria:
- Developer workflow integration: Does the tool integrate with the SCM, IDE, and CI/CD tools your team already uses?
- SDLC coverage: Does it cover multiple phases—coding, check-in, CI, and runtime—rather than a single point in the lifecycle?
- Automation capabilities: Can scanning be triggered automatically without manual intervention?
- Actionability of results: Are findings presented with enough context for a developer to understand and fix the issue without security expertise?
- False positive rate: Does the tool prioritize signal over noise, particularly for open source dependency vulnerabilities?
- Deployment flexibility: Does it support on-premises, SaaS, and hybrid deployment models to match your organization’s requirements?
- Scalability: Can it handle the volume of code and the number of repositories your organization manages?
The Business Case for DevSecOps
The cost of remediating a security vulnerability increases dramatically the later in the SDLC it is discovered. A flaw caught during code review costs a fraction of one discovered in production—in developer time, customer impact, regulatory exposure, and reputational damage. Embedding automated security testing early in the pipeline is, therefore, not just a security decision but an engineering efficiency and risk management decision.
Organizations that build DevSecOps programs effectively typically see improvements in several areas:
- Reduced mean time to remediate (MTTR) security vulnerabilities.
- Fewer security-related release delays, because issues are caught and fixed earlier.
- Improved developer security literacy over time, reducing the introduction of new vulnerabilities.
- Clearer audit trails for compliance purposes, since security testing is logged and automated throughout the pipeline.
Looking Ahead: Security for Cloud-Native, Microservices, and Containers
DevOps tooling and architectural patterns continue to evolve rapidly. Cloud-native development, microservices architectures, and container-based deployments introduce new attack surfaces and new security considerations that traditional AST tools were not designed to address. Effective security programs must evolve alongside these trends, extending coverage to infrastructure-as-code, container images, API security, and runtime protection in orchestrated environments such as Kubernetes.
The underlying principle remains constant: find vulnerabilities as early as possible, in the context where developers work, with enough automation to keep pace with modern delivery cadences. The tools and integration points will continue to change; the imperative to shift security left will not.
Vendor Context: Checkmarx
The original source article was produced in partnership with Checkmarx, an application security testing vendor. Checkmarx’s platform combines SAST, SCA, and IAST capabilities alongside developer security training. The article references a $1.15 billion acquisition of Checkmarx by private-equity firm Hellman & Friedman, described at the time of publication (2020) as the largest AppSec vendor acquisition to date, as well as a Gartner Magic Quadrant Leader designation for Application Security Testing. Readers should verify current product capabilities and analyst rankings directly with the vendor and Gartner, as both will have changed since this article was first published.