This article is based on a piece originally published on devops.com in June 2017. The core arguments remain relevant as DevSecOps continues to mature.
The Testing Progress We’ve Made — and the Gap We Haven’t Closed
Continuous integration (CI) and release automation (RA) have fundamentally changed how software teams approach quality assurance. By making testing both automated and integral to the development lifecycle, teams using CI alongside test-driven development (TDD) report improvements in deployment frequency and overall code quality. QA engineers and developers can focus on investigating problem areas rather than manually executing repetitive test suites.
However, security has not kept pace with this progress. In most organizations, security checks still feel like a speed bump inserted near the end of the release cycle rather than a continuous, automated concern woven throughout every phase of the pipeline.
Why Security Is Harder to Automate Than Functional Testing
There are two concrete reasons security automation lags behind functional test automation:
- Application-specific attack surfaces. Techniques such as application-level penetration testing are highly context-dependent. Tooling exists to assist — dynamic application security testing (DAST) scanners, static analysis (SAST) tools, and interactive tools (IAST) — but none of them eliminates the need for human judgment on custom application logic.
- Cultural perception. Security and compliance are still widely viewed as obstacles to deployment velocity rather than as quality dimensions equal in importance to functional correctness. This perception delays investment in security automation tooling and staffing.
The consequences of this gap are not hypothetical. High-profile breaches have been traced back to elementary vulnerabilities such as SQL injection — attacks that well-established automated scanning tools are capable of detecting before code ever reaches production. When security is excluded from the deployment pipeline, or when the security team lacks influence over release decisions, these preventable vulnerabilities ship.
What Automated Security Testing Can Cover
Automated tooling already addresses a meaningful portion of the common attack-vector landscape. Areas where automation delivers consistent value include:
- Injection vulnerabilities (SQL injection, command injection) — detectable by DAST and SAST tools during both build and deploy phases.
- Dependency and library vulnerabilities — software composition analysis (SCA) tools can flag known CVEs in third-party packages as part of any CI build.
- Infrastructure configuration drift — cloud security posture management (CSPM) tools can validate the deployment environment against a security baseline at the time of each deployment, reducing reliance on individual team members having deep cloud-security expertise.
- Secrets and credential exposure — static scanning tools can catch hardcoded credentials before they reach version control or artifact registries.
- Compliance policy enforcement — policy-as-code frameworks allow security controls to be expressed in code, version-controlled, and automatically evaluated against every environment change.
Interestingly, automated tools flagging a list of vulnerabilities tends to be received better by development teams than the same list delivered by a human security reviewer. The medium matters: an automated gate in a pipeline feels like a quality constraint rather than an interpersonal conflict.
Integrating Security Across Every Phase of the DevOps Lifecycle
Because the attack surface of a modern application spans code, dependencies, configuration, infrastructure, and runtime behavior, security cannot be a single gate at the end of the pipeline. It must be present — at some level — at every phase:
- Plan/Design: Threat modeling and security requirements defined alongside functional requirements.
- Code: SAST and secrets scanning integrated into the IDE and pre-commit hooks.
- Build: SCA for dependency vulnerabilities; SAST on the full codebase as part of the CI pipeline.
- Test: DAST scanning against a deployed test environment; IAST agents collecting runtime data during functional test execution.
- Deploy: Infrastructure configuration validation; policy-as-code checks against the target cloud environment.
- Operate/Monitor: Runtime threat detection, log analysis, and alerting on anomalous behavior.
Standardized Controls Bridge the Skills Gap
One of the most underappreciated benefits of security automation is its role in addressing skills shortages. Cloud environments expose a large and constantly changing set of security configuration options. Rather than requiring every engineer to have deep expertise in every cloud security feature, automated tooling can validate that a deployment environment meets a defined baseline before traffic ever reaches it.
This is analogous to how infrastructure-as-code tools allow operations teams to provision complex environments rapidly while learning configuration details incrementally. Security automation provides the same leverage to security teams: codify the controls, automate the validation, and use the time saved to deepen expertise where it matters most.
The practical recommendation is to build standardized security controls into both the test environment and the deployment environment. Perfect automation is not the goal — meaningful automation is. Even partial coverage of the vulnerability surface raises the overall security posture of the business, and since breaches represent direct business risk, that improvement is squarely aligned with the business value DevOps aims to deliver.
The Role of the Security Team in a Highly Automated Pipeline
A small security team cannot manually review every build, every pull request, and every deployment in a modern high-velocity engineering organization. Automation does not eliminate the security team — it changes their role. In a mature DevSecOps model, security engineers function primarily as:
- Internal consultants and trainers to development, test, and operations functions.
- Authors and maintainers of security policy as code — the rules that automated gates enforce.
- Reviewers of complex, application-specific risks that tools cannot yet evaluate reliably (custom business logic, novel attack patterns, architectural decisions).
The cultural shift required here parallels the shift development teams made when adopting agile, and the shift development and operations teams made when adopting DevOps. Security processes should not simply be mapped onto old workflows — they should be re-examined against the goal of securing the application and rebuilt using the most efficient methods available. Then, like everything else in engineering, iterated on continuously.
Key Takeaways
- Automated functional testing has matured significantly; security testing automation is catching up but still requires human augmentation for application-specific risks.
- Automated security tooling (SAST, DAST, SCA, CSPM, policy-as-code) can already address a wide range of common vulnerabilities if integrated into the CI/CD pipeline.
- Security must be present at every phase of the DevOps lifecycle, not only at release gates.
- Standardized, automated controls reduce both the employee time burden and the skills gap associated with security coverage.
- The security team’s role evolves toward consulting, training, and policy authorship — not manual review of every artifact.
- The goal is not perfect automation today; it is measurably better security posture through whatever automation is achievable now, improved iteratively over time.