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06/07/2026 9:45 am
TL;DR: Least privilege for machine identities keeps failing because teams can see granted permissions but not actual token usage, leaving API keys, OAuth access tokens, and PATs over-scoped by default according to Token Security. The control gap is not policy intent but runtime visibility: without it, right-sizing access remains guesswork and dormant privilege keeps expanding attack surface.
NHIMG editorial — based on content published by Token Security: Why Least Privilege Fails Without Visibility Into Token Usage
Questions worth separating out
A: Start with observed usage, not guessed intent.
Q: Why do opaque API tokens and OAuth credentials make least privilege harder to enforce?
A: Opaque tokens do not reveal their own permissions, so teams must trace them back to the issuer and correlate them with runtime activity.
Q: What do security teams get wrong about static IAM policy reviews for tokens?
A: They mistake permitted access for actual access.
Practitioner guidance
- Instrument token usage at runtime Capture the token ID, granted scopes, API endpoints, and resource targets for every machine-to-machine request so review teams can compare policy to actual behaviour.
- Replace guesswork with observed scope baselines Use 30 to 90 days of usage data to define a workload’s minimum viable permissions, then trim any scope that was never exercised during that window.
- Revoke dormant credentials on a fixed cadence Set an automated review path for tokens with zero activity over the last 60 days and require owners to reattest before reinstatement.
What's in the full article
Token Security's full blog post covers the operational detail this post intentionally leaves for the source:
- How the platform maps token identity to API actions and resource usage across cloud and SaaS systems
- Examples of permission gap analysis for dormant credentials, over-scoped tokens, and toxic privilege combinations
- Operational guidance on turning runtime telemetry into safer scope reduction and revocation decisions
- Why static scanners miss third-party SaaS tokens and where visibility gaps usually appear in practice
👉 Read Token Security's analysis of why least privilege fails without token visibility →
Token usage visibility: why least privilege keeps failing in cloud?
Explore further
06/07/2026 10:01 am
Visibility debt, not policy debt, is why least privilege fails for tokens. The article is right that teams do not usually fail because they reject least privilege; they fail because they cannot see enough runtime activity to define it safely. That is a governance problem, not a tooling preference. In NHI terms, a token that cannot be observed cannot be right-sized with confidence, which means excess privilege persists by default. Practitioners should treat observability as a prerequisite to scope reduction, not an optional enhancement.
A few things that frame the scale:
- 72% of organisations have experienced or suspect they have experienced a breach of non-human identities, according to The 2024 ESG Report: Managing Non-Human Identities.
- Two-thirds of enterprises have endured a successful cyberattack resulting from compromised non-human identities, with a quarter encountering multiple attacks.
A question worth separating out:
Q: Who should own token scope reduction and revocation decisions?
A: Ownership should sit with the application or workload team, backed by identity and security governance. They know what the service really does, while security can validate the evidence and enforce review discipline. That split prevents both over-restriction and the default habit of leaving excessive access in place.
👉 Read our full editorial: Token usage visibility is the missing control for least privilege
