This article is based on a piece originally published on cbronline.com.
DevOps processes are built around agility: delivering innovative software quickly, iterating fast, and staying ahead of competitors. Traditional software security processes, by contrast, prioritise thoroughness over speed and are often inserted as blocking gates late in the delivery cycle. That structural tension has led many organisations to treat the two disciplines as fundamentally opposed.
They don’t have to be. Security breaches continue to increase in frequency and severity, making it more important than ever that development, operations, and security teams find a way to work together—balancing speed and protection without sacrificing either.
Different Viewpoints—and Why They Clash
The stereotypes are familiar: DevOps teams ship fast and ask forgiveness later; security teams scrutinise everything and slow everyone down. Neither caricature is fair, and both miss the point.
In practice, DevOps teams are responsible for introducing new capabilities quickly and reliably. Security teams are responsible for ensuring that vulnerabilities and attack vectors are identified, mitigated, and audited before software reaches production. Both objectives are valid and essential to the stability of the business. The real problem is organisational: the two groups have historically operated in silos, which breeds misunderstanding and, eventually, an adversarial "us vs. them" mentality.
Blame tends to flow in both directions. DevOps teams are accused of shipping insecure code; security teams are accused of blocking delivery. Neither posture is productive. The irony is that well-structured DevOps teams are often better positioned to apply security rigorously than legacy waterfall teams, because their tooling, automation, and feedback loops already support continuous validation. With the right direction and shared priorities, DevOps and security can become natural allies.
The prerequisite is mutual respect built on genuine understanding. Both groups are made up of technically skilled people with deep domain expertise. Recognising complementary skill sets—and involving both teams from the very start of a project—is the foundation of a productive relationship.
Automation: The Integration Point
Automation is central to DevOps practice: tasks must be performed early, often, and consistently. This is precisely where security can be woven into the delivery pipeline rather than bolted on at the end.
Practical examples of security automation in a DevOps pipeline include:
- Static Application Security Testing (SAST): Automated code scans that identify patterns associated with common vulnerabilities (e.g., injection flaws, insecure deserialization) on every commit.
- Software Composition Analysis (SCA): Automated tracking and vetting of third-party libraries and open-source components for known CVEs.
- Threat modelling: Structured analysis of potential attack surfaces, ideally performed during the design phase before a line of code is written.
- Security metrics collection: Tracking vulnerability scan results alongside existing DevOps metrics such as defect rate and mean time to recovery (MTTR).
Automation does not eliminate the need for human security expertise—it amplifies it. A security engineer embedded in the team can define what the automated tools look for, educate developers on emerging vulnerabilities, review high-risk code changes, and interpret scan results in context. The goal is to remove repetitive manual checks from the critical path while keeping qualified humans in the loop for judgement-heavy decisions.
Where full automation is not yet feasible, the next best option is to embed security professionals directly into the DevOps team with a clear mandate to collaborate early and continuously.
Creating Shared Best Practices
Integrating security into DevOps requires deliberate process design, not just good intentions. DevOps and security teams need to sit down together, map out their respective workflows, and agree on which steps are genuinely necessary and which are legacy bureaucracy that can be streamlined or eliminated.
Involve Security from Day One
One of the most common failure modes is involving security only at the end of the delivery cycle—after code is written, environments are configured, and the team is anxious to ship. At that stage, security findings feel like blockers because they are: rework is expensive and demoralising.
The fix is straightforward in principle: bring security in from the moment user stories are written. Security requirements, acceptance criteria, and threat models should be defined alongside functional requirements, not after them. This shifts security findings earlier in the cycle, where they are cheaper to fix and less disruptive to delivery timelines.
Invest in Cross-Team Communication
Communication between teams is often treated as obvious and therefore neglected. In practice, two specific communication patterns matter most:
- Developers → Security: When sensitive sections of the codebase are modified—authentication logic, cryptographic routines, data access layers—security teams should be notified proactively so they can focus review effort where it matters most.
- Security → Developers: Security teams must regularly share updates on the evolving threat landscape, newly disclosed vulnerabilities relevant to the stack, and current organisational priorities. Developers cannot defend against threats they have never heard of.
Regular joint meetings, shared Slack channels, and joint incident retrospectives are all low-cost mechanisms that meaningfully reduce the information gap between teams.
Working Toward a Single, Shared Goal
There is no single tool or process change that will resolve the tension between DevOps and security overnight. Like all meaningful organisational change, it requires modifying people, processes, and tooling in concert. This is the core idea behind DevSecOps: security is not a phase or a gate, it is a continuous, shared responsibility owned by the entire delivery team.
Practically, that means:
- Defining security requirements at the same time as functional requirements.
- Automating security checks at every stage of the CI/CD pipeline.
- Embedding security expertise within delivery teams rather than isolating it in a separate department.
- Measuring security outcomes with the same rigour as delivery metrics.
- Running joint retrospectives when security incidents or near-misses occur, without assigning blame.
The organisations that get this right stop thinking of security as a constraint on delivery and start thinking of it as a quality attribute of the product—one that can be designed in, automated, measured, and improved continuously. When that shift happens, DevOps and security stop being fighting factions and start being genuinely powerful allies.
Originally sourced from cbronline.com (2017). Core principles remain applicable; specific tooling recommendations should be validated against current ecosystem options.