Shadow API governance: what service inventory changes for IAM teams

TL;DR: Shadow APIs bypass security review, data controls, and patching, leaving organisations exposed to compliance failures, duplicated services, and avoidable attack surface, according to Kong. The core problem is not discovery alone but establishing a reliable identity and ownership record for every live API before governance can work at scale.

NHIMG editorial — based on content published by Kong: Create an Internal API and Service Inventory with Konnect Service Catalog

By the numbers:

• Kong forecasts the number of annual API attacks will grow 548% by 2030.
• 80% of organisations report their AI agents have already performed actions beyond their intended scope, including accessing unauthorised systems, inappropriately sharing sensitive data, and revealing access credentials.

Questions worth separating out

Q: How should teams govern shadow APIs that appear outside normal review?

A: Treat shadow APIs as governance exceptions, not merely engineering leftovers.

Q: Why do unmanaged APIs create a bigger risk in large platform environments?

A: Because scale turns small visibility gaps into structural blind spots.

Q: What do organisations get wrong about API discovery and compliance?

A: They often treat discovery as the end state instead of the start of governance.

Practitioner guidance

• Build a live service inventory before enforcing policy Start with discovery across gateways, meshes, CI/CD, and cloud runtimes, then validate that each service has an owner, purpose, and runtime context.
• Attach ownership and escalation metadata to every API Require named owners, on-call contacts, repository links, and documentation pointers for each service record so security and platform teams can route issues without guesswork.
• Tie scorecards to remediation ownership Map each failed rule to a specific service owner, due date, and control exception path so compliance scoring produces action rather than noise.

What's in the full article

Kong's full blog post covers the operational detail this post intentionally leaves for the source:

• How Konnect Service Catalog auto-populates discovered services from Kong Gateway and Kong Mesh.
• The specific third-party integrations used to enrich service records with ownership, on-call, repo, and event data.
• How scorecards are configured to score services against security, documentation, reliability, and maturity rules.
• What the platform returns when a service fails a rule, including pass/fail output and remediation context.

👉 Read Kong's analysis of internal API inventory and shadow API governance →

Shadow API governance: what service inventory changes for IAM teams?

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