This article is based on Part 4 of a five-part series providing practical guidance to security leaders for securing DevOps environments. The series draws on insights from Global 1000 Chief Information Security Officers (CISOs) and covers how security teams can adapt their processes for modern application delivery. Originally published on SecurityBoulevard.com and CyberArk.
Why Traditional Security Gates Break Down in CI/CD
Organizations across industries—from banking and insurance to retail loyalty apps—are adopting DevOps to shorten development cycles and align software delivery more closely with business objectives. The speed and agility that make DevOps attractive, however, create a significant challenge for security teams accustomed to working in slower, phase-gated release models.
This challenge intensifies with Continuous Integration and Continuous Delivery (CI/CD). In a CI/CD pipeline:
- Continuous Integration (CI) allows developers to merge code changes into a shared repository multiple times per day, with each merge automatically triggering builds and tests.
- Continuous Delivery (CD) ensures code is always in a deployable state, ready to be pushed to production at any time with minimal manual intervention.
Traditionally, security teams inserted manual checkpoints—or “gates”—between development stages to verify that an application met security requirements before it could proceed. In a CI/CD world, these gates become bottlenecks that conflict directly with the pipeline’s core promise: fast, automated, repeatable delivery. Security teams must rethink their approach entirely.
The following four strategies, based on real-world experiences shared by CISOs at Global 1000 organizations, offer a practical path forward.
1. Integrate Automated Code Testing for Security Issues
The first and most fundamental shift is automating as much security testing as possible. Manual reviews simply cannot keep pace with pipelines that may trigger dozens of builds per day across multiple teams.
Automated security testing tools can be embedded directly into the CI/CD pipeline to perform tasks such as:
- Scanning code for hardcoded secrets (API keys, passwords, tokens) before code is committed to a repository.
- Static Application Security Testing (SAST) to identify known vulnerability patterns in source code.
- Dependency and third-party module scanning to verify that external packages do not introduce known vulnerabilities.
- Secrets retrieval validation to confirm that applications are fetching credentials from a centralized, encrypted secrets vault rather than storing them inline.
- Log auditing checks to ensure that sensitive values such as passwords are not inadvertently written to event logs.
A well-configured automated enforcement engine makes security a continuous, non-blocking activity rather than a periodic audit. The goal is to catch issues at the earliest possible point in the pipeline—ideally at code check-in or pull request review—rather than after a build has already been assembled.
2. Adopt a “Break the Build” Approach to Drive Developer Accountability
Automated testing is only as effective as the enforcement mechanism behind it. A test that flags a vulnerability but allows the build to continue anyway provides little real protection. The “break the build” approach changes this dynamic by failing the entire build when a security test fails, blocking delivery until the issue is resolved.
This creates a direct feedback loop for developers: if security requirements are not met, the code cannot be delivered. Key characteristics of an effective break-the-build policy include:
- Risk-based thresholds: Rather than failing on every minor finding, build automation tools can incorporate risk scoring. When the cumulative risk score of identified issues exceeds a defined threshold, the build breaks automatically. Lower-severity findings can be logged and tracked without stopping delivery.
- Clear, actionable feedback: When a build breaks, developers need to know exactly what the problem is and how to fix it. Security teams must invest in clear error messaging and be prepared to guide developers toward remediation quickly.
- Shift-left enforcement: Push security checks as early in the pipeline as possible—ideally to code check-in or merge request stages—so that developers receive feedback before a full build is even triggered.
This approach also places healthy pressure on security teams themselves: the tests must be accurate, the thresholds must be well-calibrated, and remediation guidance must be readily available. Poorly tuned rules that generate excessive false positives will erode developer trust and lead to workarounds.
3. Maintain Manual Testing and Red Team Exercises
Automation is essential, but it is not sufficient on its own. Automated static and dynamic analysis tools work best against known vulnerability classes and patterns. Skilled attackers, however, are creative and persistent—they actively look for logic flaws, chained vulnerabilities, and misconfigurations that automated scanners are not designed to detect.
Security teams should complement their automated pipeline testing with:
- Manual penetration testing: Human testers can probe for vulnerabilities that require contextual judgment and creative thinking. Importantly, penetration testing should cover not just the application itself but also the CI/CD toolchain—the build servers, artifact repositories, deployment scripts, and secrets management systems that support it. A compromised build pipeline can be just as damaging as a compromised application.
- Dynamic Application Security Testing (DAST): Testing a running instance of the application against realistic attack scenarios complements the static analysis performed earlier in the pipeline.
- Red Team exercises: Periodic red team engagements, in which a dedicated team simulates the tactics of a real adversary, are valuable for uncovering systemic weaknesses, validating existing defenses, and producing risk-prioritized recommendations for improvement.
The cadence and scope of manual testing should be calibrated to the risk profile of the application and the rate of change in the codebase. Applications that change rapidly or handle sensitive data warrant more frequent manual review cycles.
4. Consider Launching a Bug Bounty Program
Even the most thorough internal security program has blind spots. A bug bounty program extends an organization’s security testing capacity by inviting external security researchers to identify and responsibly disclose vulnerabilities in exchange for a financial reward.
In a DevOps context, bug bounty programs can surface issues that internal teams may overlook, such as:
- Hardcoded credentials embedded in publicly accessible code repositories or exposed through application endpoints.
- Secrets inadvertently leaked through DevOps tooling interfaces or API responses.
- Misconfigured access controls in deployment infrastructure.
Beyond finding specific vulnerabilities, bug bounty programs create an ongoing record of security issues, their frequency, and their remediation cost—providing useful data for tracking security posture over time and making the business case for security investment.
Before launching a program, several foundational steps are necessary:
- Establish a formal program agreement that defines scope, acceptable testing methods, disclosure timelines, and reward structures. The agreement should explicitly require that researchers do no harm to production systems or data.
- Secure executive buy-in. Leadership must understand what a bug bounty program involves, including the possibility that researchers will discover significant vulnerabilities. Surprises at the executive level can undermine the program.
- Maintain transparency. Be clear with researchers about what is in scope, how submissions will be evaluated, and how rewards are determined. A well-run program builds trust with the security research community and attracts higher-quality submissions.
Bringing It Together: Security as a CI/CD Participant, Not a Gatekeeper
The underlying theme across all four strategies is a fundamental shift in how security teams position themselves within the development organization. Rather than acting as external gatekeepers who approve or reject releases, security teams must become active participants in the CI/CD process—embedding controls into the pipeline, collaborating with developers on remediation, and continuously improving detection and response capabilities.
This requires sustained collaboration. Developers and security professionals share responsibility for the security of the applications they build and deploy. Security teams that communicate clearly, provide actionable guidance, and avoid unnecessary friction will find developers far more willing to engage with security requirements as a normal part of their workflow rather than an obstacle to delivery.
The combination of automated pipeline security, break-the-build enforcement, manual testing, red team exercises, and bug bounty programs creates a layered defense that can realistically keep pace with the speed of modern DevOps—without sacrificing the security posture the organization depends on.
This article is based on content originally published by CyberArk on SecurityBoulevard.com as part of the CISO View Insights series on protecting privileged access in DevOps and cloud environments.