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19/08/2026 3:59 pm
TL;DR: API governance is still immature, with only 14% of organisations beyond ad hoc controls, while API sprawl, shadow endpoints, authenticated attacks, and agentic AI are widening the gap between written policy and runtime behaviour, according to Equixly. The practical challenge is not discovery alone but proving that access logic, compliance evidence, and operational resilience hold up under continuous change.
NHIMG editorial — based on content published by Equixly: Compliance API governance: Where Equixly delivers value and why it matters now
By the numbers:
- Recent research shows that only 14% of organizations have moved beyond ad hoc security measures to implement a dedicated governance framework.
- In the first quarter of 2025, 95% of API attack attempts originated from authenticated sources.
Questions worth separating out
Q: What breaks when API governance is only policy on paper?
A: Policies fail when production APIs drift from approved design, because undocumented endpoints, hidden parameters, and version sprawl create access paths that no one is actively verifying.
Q: Why do authenticated API users still create security risk?
A: Because valid credentials can still be abused.
Q: How do security teams know if API authorisation is actually working?
A: They should test whether each identity can only complete the specific actions it is supposed to perform, then compare that result with runtime logs and anomaly patterns.
Practitioner guidance
- Continuously inventory all API surfaces Compare live traffic, specifications, and recorded history to identify shadow APIs, undocumented versions, and hidden parameters before they become permanent access paths.
- Test object-level authorisation directly Build tests that validate whether each identity, role, and token can access only the intended object, record, or workflow state across every version.
- Tie API policy to identity lifecycle Review token scope, service account ownership, and delegation chains together so that API permissions expire or change when the underlying identity changes.
What's in the full article
Equixly's full blog covers the operational detail this post intentionally leaves for the source:
- Continuous testing workflow examples for comparing live API behaviour against specifications and policy
- Implementation detail on shadow API discovery, undocumented parameters, and verb tampering checks
- Reporting outputs for executive summary, remediation tracking, and audit evidence generation
- LLM-integrated API testing coverage for prompt injection, sensitive information disclosure, and insecure output handling
👉 Read Equixly's analysis of API governance, shadow endpoints, and agentic AI →
API governance and shadow endpoints: are your controls keeping up?
Explore further
19/08/2026 4:36 pm
API governance has become an identity governance problem whenever tokens and delegated calls define who can act. The article is framed as application security, but its strongest signal is that authenticated access now dominates attack patterns and that APIs often mediate machine-to-machine trust. That means the control question is not only whether an endpoint is visible, but whether the identity behind the call is properly scoped, lifecycle-managed, and behaviourally constrained. Practitioners should treat API governance as part of IAM and NHI control design, not as a separate technical silo.
A question worth separating out:
Q: Who is accountable when an API exposes regulated data?
A: Accountability usually sits with the business owner, security owner, and operational owner together. For regulated environments, teams need clear assignment for inventory, change approval, incident escalation, and evidence retention. If no one owns the API lifecycle end to end, compliance and response both degrade quickly.
👉 Read our full editorial: API governance needs runtime validation as sprawl and agentic AI grow
