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18/08/2026 2:15 pm
TL;DR: Early API security testing reduces the chance that weak controls reach production, but Pynt’s article shows that shifting left only works when teams pair developer education, automated testing, access control, and CI/CD checks from the start. The governance challenge is not just finding flaws earlier, but ensuring they are fixed before sensitive access patterns and exposed endpoints become persistent risk.
NHIMG editorial — based on content published by Pynt: Shifting left API security
By the numbers:
- 72% of organisations have experienced or suspect they have experienced a breach of non-human identities, with 46% confirmed and 26% suspected.
Questions worth separating out
Q: How should security teams implement API security testing in CI/CD pipelines?
A: Start by automating the endpoints that carry privileged actions, sensitive data, or access decisions.
Q: Why do APIs create identity risk for NHI programmes?
A: APIs are frequently accessed by non-human identities such as service accounts, tokens, and keys, which can be over-scoped and long-lived.
Q: What breaks when API security is treated as an afterthought in modernization projects?
A: Teams usually end up with inconsistent token handling, unclear scopes, and weak revocation paths across services.
Practitioner guidance
- Add API security gates to CI/CD Require authentication, authorization, and rate-limit checks before code can progress from build to deployment.
- Validate access control for machine callers Test API policies against service accounts, tokens, and workload identities, not only human users.
- Review secrets and encryption in the pipeline Verify that API keys, tokens, and certificates are stored, rotated, and injected securely across development and testing stages.
What's in the full article
Pynt's full article covers the implementation detail this post intentionally leaves at the governance level:
- Step-by-step examples of shifting security checks into the development lifecycle for API teams
- Practical use cases for automated API security testing across build, test, and release stages
- Specific patterns for combining encryption, access control, and rate limiting in release pipelines
👉 Read Pynt's article on shifting left API security and development lifecycle controls →
Shifting left API security: what it means for IAM teams?
Explore further
18/08/2026 3:06 pm
API security is now an identity governance issue, not just an application security task. APIs are increasingly how humans, service accounts, and automated workloads obtain access to data and functions. When security is introduced late, the organisation loses control over who or what can call the interface and under what conditions. The practical conclusion is that API governance must be aligned to identity, privilege, and lifecycle controls from the first build stage.
A question worth separating out:
Q: How can security teams tell whether API risk controls are actually working?
A: Look for reduced abuse volume, fewer successful automated attacks, and clearer visibility into which non-human clients are making requests and why. If the control is effective, suspicious traffic should be slowed, challenged, or blocked before it reaches core systems, while legitimate integrations continue to function normally.
👉 Read our full editorial: Shifting left API security is now a governance problem
