Topic starter
25/06/2026 1:12 am
TL;DR: Over 80% of enterprises have API defenses misaligned with data sensitivity, according to Raidiam, while one of 68 organisations in its survey used full mTLS and certificate-bound tokens, and 70% lacked contextual or fine-grained access control. The core issue is not API volume but identity assurance, authorisation depth, and monitoring discipline that current programmes still underweight.
Editorial analysis by NHI Mgmt Group, based on content published by Raidiam: “API Security Checklist: Your Essential Guide to Protecting APIs in 2025”.
By the numbers:
- Over 80% of enterprises had API defenses dangerously misaligned with the sensitivity of their data.
- Only one of 68 organizations used full mTLS and certificate-bound tokens.
- Over 70% of surveyed organizations lacked any form of contextual or fine-grained access control.
Key questions
Q: What fails when workloads still rely on shared API keys and static secrets?
A: Shared secrets make workload identity opaque, because the same credential can be copied across services, pipelines, and runtimes without any reliable proof of which workload used it.
Q: Why do poorly designed APIs create such a large data exposure risk?
A: Poorly designed APIs often expose too much data, fail to validate access consistently, or rely on outdated controls that no longer match current attack patterns.
Q: What are the signs that an API authorization control is failing in practice?
A: Common warning signs include endpoints returning valid data without a token, access to records that should be scoped to another user, and responses that expose credentials or keys in configuration data.
Practitioner guidance
- Replace static API keys with stronger caller identity Move sensitive integrations to OAuth 2.0 with PKCE, private_key_jwt, or mTLS so the caller proves identity at request time instead of relying on a reusable shared secret.
- Bind tokens to the presenting certificate Use certificate-bound tokens for high-value APIs so token replay is harder and the request is tied to the authenticated client certificate.
- Apply contextual policy to every sensitive endpoint Use ABAC and scoped authorisation to narrow access by client, user, and action, especially where APIs expose multiple objects or datasets.
Bottom line: API risk in 2025 is driven less by the existence of integrations than by weak caller identity, broad authorisation, and thin monitoring.
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25/06/2026 10:28 am
API security is now an identity assurance problem before it is a transport problem. The article is strongest when it shows that most enterprise failures are not about API volume but about whether the caller can prove who it is, what it may do, and whether its behaviour stays within the expected boundary. That places API governance squarely inside IAM, not beside it. Practitioners should treat request-level identity as the primary control plane.
A few things that frame the scale:
- Secrets management is a top five cybersecurity priority for only 33% of organisations, behind cloud security (45%), API security (42%), and endpoint security (36%), according to the 2024 State of Secrets Management Survey.
- 71% of organizations use third-party APIs, according to Gartner’s 2024 data.
A question worth separating out:
Q: Should security teams prioritise mTLS or ABAC first for API protection?
A: They solve different problems, so the answer depends on the gap. mTLS strengthens caller authentication and token binding, while ABAC reduces what a validated caller can do. If the main weakness is credential replay, start with mTLS. If the main weakness is excessive data access, start with contextual authorisation.
👉 Read our full editorial: API security in 2025 exposes identity and access control gaps