Without deliberate attention to security, the speed of continuous delivery becomes a liability rather than an asset. DevOps pipelines that automate code integration, testing, and deployment can also automate the propagation of vulnerabilities—unless security is woven into every stage. This approach, commonly called DevSecOps or Continuous Security, embeds security controls, reviews, and feedback loops directly into the DevOps toolchain rather than bolting them on at the end.
The following nine pillars provide a practical framework for assessing and improving your organisation’s continuous security maturity. Each pillar maps to a core element of modern DevOps practice, and together they form an end-to-end picture of what mature DevSecOps looks like in production.
1. Leadership
Security programmes succeed or stall based on executive sponsorship. Leaders who treat security as a compliance checkbox rather than an engineering concern create the cultural conditions for breaches. Effective security leadership means:
- Articulating a clear, multi-year vision for the organisation’s security direction and communicating it consistently to all teams.
- Encouraging teams to challenge existing security assumptions and ask new questions about threat models, tooling, and process.
- Recognising and rewarding individuals and teams who demonstrate above-average security practices—publicly acknowledging improvements reinforces the behaviours you want repeated.
2. Collaborative Culture
The biggest security gaps in DevOps organisations are often organisational, not technical. When security operates as a separate gate at the end of the pipeline, vulnerabilities accumulate and release velocity drops. A genuinely collaborative culture looks like:
- Cross-functional teams that share responsibility for security outcomes across development, operations, QA, and security engineering—with no silos.
- DevOps toolchain design and workflow changes reviewed by a coalition of stakeholders that explicitly includes security engineers.
- Team members trained and empowered to take personal responsibility for security, compliance, and privacy obligations—not just security specialists.
- Security engineers involved in design reviews for modular components and consulted whenever security patterns within those modules change.
3. Design for DevOps
Secure software at speed requires security to be considered at the design and pre-commit stage, not discovered post-deployment. Key practices include:
- Pre-commit static analysis (SAST): Run static analysis tools before code reaches the integration branch to catch common vulnerabilities—memory leaks, uninitialised variables, array-boundary errors, SQL injection—before they are shared with other developers.
- Software composition analysis (SCA): Scan third-party libraries and open-source components for known vulnerabilities as part of the build process.
- Security framework documentation: Document and share approved security frameworks for each technology stack (for example, Apache Shiro or Spring Security for JVM projects) so developers have clear, consistent guidance.
- Security-aware peer code reviews: Code review checklists should explicitly include defensive coding patterns and known vulnerability categories before code is merged to the trunk.
- Shared security components: Maintain a curated library of common security components—identity, authorisation, key management, audit logging, cryptography, protocol implementations—that module developers can consume rather than re-implement.
4. Continuous Integration
The CI stage is a high-value control point because every change passes through it. Integrating security checks here catches vulnerabilities early, when they are cheapest to fix.
- Use a version control system to track all changes to source code, compiled artefacts, and the tools used to build and test the software.
- Wire incremental static analysis into CI pre-commit and commit hooks. Scanning only the changed code keeps feedback fast. Control-flow and data-flow analysis at this stage can surface issues such as misuse of cryptographic functions, configuration errors, and injection vulnerabilities.
- Digitally sign binary artefacts and store them in access-controlled, audited repositories to prevent tampering.
- Trigger automatic notifications or pull requests to security engineers when changes touch sensitive security patterns—session management, authentication, authorisation, or encryption logic.
5. Continuous Testing
Security tests that are not automated are security tests that do not run consistently. Embedding security testing into the continuous testing process ensures coverage keeps pace with delivery velocity.
- Write new security tests alongside new code and commit them to the trunk at the same time, so the tests are in place before the next integration cycle.
- Automate security tests for each pipeline stage and select them according to predefined criteria relevant to the change being made.
- Include security regression tests in every release cycle. Aim for the majority of these tests to be fully automated; where manual steps are unavoidable, provide tooling to assist the tester.
- Tag test results that indicate potential security concerns so they are routed to security engineers for analysis.
- Run dynamic application security testing (DAST) or interactive application security testing (IAST) and deliver results back to developers through the tools and feedback mechanisms they already use.
- If containers are in use, regularly scan image repositories for known vulnerabilities, verify image integrity with hash checks to detect drift, and perform run-time vulnerability checks during image deployment.
- Build abuse cases and attack-pattern tests for each application module’s threat profile.
- Include boundary-condition tests, negative tests, error-handling tests, and exception-handling logic in unit and integration test suites.
- Automate coverage of the OWASP Top 10 vulnerability classes within the automated testing suite.
6. Continuous Monitoring
Dynamic infrastructure and rapid release cycles mean the security posture of a system changes constantly. Continuous monitoring provides the observability needed to detect and respond to threats in near real time.
- Automatically collect, calculate, and surface security metrics to anyone on the team who subscribes to them. Useful security metrics include:
- Number of security defects identified pre-production
- Percentage of code covered by security tests
- Number of builds failed due to security policy violations
- Mean time to detection (MTTD)
- Mean time to resolution (MTTR)
- Consolidate vulnerability data from all tools and pipelines into a unified view so teams can understand cumulative risk and prioritise remediation effectively.
- Feed telemetry from production security controls—such as Web Application Firewalls (WAF) and Runtime Application Self-Protection (RASP)—back into security test design to close the loop between production threats and test coverage.
- Share threat intelligence and security event data across DevOps teams to enable attack-driven defence: using knowledge of real attack patterns to inform defensive improvements.
7. Continuous Security
Continuous Security is both a pillar in its own right and the thread that runs through every other pillar. It describes the automation, tooling, and operational discipline that make security a persistent property of the system rather than a periodic activity.
- Require all security platforms to expose their full functionality via APIs so they can be integrated into automated pipelines without manual intervention.
- Adopt an immutable infrastructure mindset: production systems are built from known-good images and replaced rather than patched in place, reducing configuration drift and attack surface.
- Automate security controls so they enforce policy without creating bottlenecks that slow delivery.
- Integrate security tooling directly into the CI/CD pipeline rather than running it as an out-of-band process.
- Restrict access to source code for key intellectual property on build and test machines to trusted users with auditable credentials. Build and test scripts must never contain embedded credentials to systems holding sensitive data.
- Schedule periodic external penetration tests—performed independently of the pipeline—to provide deep-dive analysis that automated tooling may miss.
- Deliver WAF and RASP telemetry from production back to development teams as a feedback loop for application hardening.
- Maintain an accurate, automated inventory of all software packages and version information via infrastructure as code. Use automated detection to identify packages with known CVEs and define specific remediation actions for each.
8. Elastic Infrastructure
Cloud-native and elastic infrastructures offer significant operational advantages, but they also expand the attack surface: more services, more API endpoints, more ephemeral instances, and more shared-responsibility boundaries to manage. Security practices must adapt accordingly.
- Include automated security checks in all infrastructure configuration code:
- Disable unnecessary services; open only the ports required for the workload.
- Enforce file permissions, audit policies, and logging configurations.
- Verify that development tools are not present in production images.
- Build infrastructure exclusively from security-approved OS versions, software versions, and frameworks. Define security controls such as access control lists (ACLs) and file integrity monitoring (FIM) as code.
- Enforce a least-privilege model for all processes running on shared infrastructure.
- Prefer smaller clusters to reduce complexity and limit the blast radius of a compromise.
- Validate that cloud service providers’ (IaaS/PaaS) security controls meet your business requirements within their portion of the shared responsibility model. Do not assume compliance by default.
9. Continuous Delivery and Deployment
The final stage of the pipeline—releasing software to users—is where security failures become customer-facing incidents. Security gates here are the last programmatic check before code reaches production.
- Base release-to-production decisions on predefined metrics that explicitly include security metrics, not just functional test pass rates or deployment success.
- Enforce an allow-list (whitelist) policy for application network segmentation in each environment, with production receiving the most restrictive policy.
- Trigger run-time security and compliance checks as part of the continuous deployment process:
- Confirm unnecessary services are disabled and only required ports are open.
- Verify file permissions, audit policies, and logging configurations are correctly applied.
- Confirm that development tools are absent from the production environment.
- Vault all secrets required for deployment and retrieve them programmatically at run-time or pipeline initialisation. Never store secrets in pipeline configuration files or environment variables checked into source control.
Putting It Together: Assessing Your DevSecOps Maturity
No two organisations have identical risk profiles, team structures, or technology stacks. The nine pillars above are a framework for assessment, not a prescriptive checklist. Use them to identify which areas are mature, which are nascent, and where investment will yield the greatest risk reduction for your specific context.
A few principles apply universally:
- Shift left: The earlier in the pipeline a vulnerability is caught, the cheaper it is to fix. Pre-commit SAST and peer review security checklists cost far less than post-production incident response.
- Close the feedback loop: Production telemetry should inform test design. Threat intelligence should inform architecture decisions. Security is not a one-way gate—it is a cycle.
- Automate to accelerate, not just to enforce: Automated security controls should enable teams to move faster with confidence, not create new bottlenecks that incentivise bypassing them.
- Measure what matters: Metrics such as MTTD and MTTR, pre-production defect density, and pipeline security gate failure rates give leadership a data-driven view of security posture over time.
End-to-end security metrics—spanning planning through to production operations—and the tooling to surface them (value stream management applied to DevSecOps, enterprise security dashboards) are a natural extension of this framework and warrant dedicated treatment beyond the scope of this article.
This article draws on a framework originally published on devops.com.