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10/06/2026 11:52 pm
TL;DR: As authorization logic sprawls across services, duplicated policy creates inconsistent decisions, weaker auditability, and unintended privilege, according to Cerbos. A decoupled authorization layer gives teams one governed policy source, local enforcement, and decision-level evidence without tying access control to application code.
NHIMG editorial — based on content published by Cerbos: shared authorization layers for NHI governance and runtime policy
Questions worth separating out
Q: How should security teams centralise authorization without slowing applications down?
A: They should separate policy definition from enforcement and keep the evaluation path close to the workload.
Q: Why do duplicated authorization rules create risk for NHI governance?
A: Duplicated rules create drift, and drift creates inconsistent access outcomes for services, pipelines, and automated actors.
Q: How do you know if authorization decisions are actually auditable?
A: You know the control is auditable when the system can explain which rule matched, which attributes influenced the result, and which policy version was active.
Practitioner guidance
- Map authorization ownership to a single policy source Document which team owns policy definitions, versioning, testing, and release approval.
- Instrument decision-level audit trails Log the matched rule, relevant subject and resource attributes, and policy version for every access decision.
- Classify non-human identities inside the policy model Add service accounts, batch jobs, pipelines, and AI agents as first-class subjects in authorization rules.
What's in the full article
Cerbos' full article covers the operational detail this post intentionally leaves for the source:
- How the shared authorization pattern fits into application architectures without forcing a redesign of every service.
- How runtime decision-making preserves performance while keeping policy centralised and explainable.
- How the model applies across humans, service accounts, and automated actors in heterogeneous stacks.
- How the vendor positions integration with identity and governance systems such as Okta, SailPoint, Saviynt, and Snowflake.
👉 Read Cerbos' analysis of shared authorization for NHI and application governance →
Shared authorization layers: are your NHI controls keeping up?
Explore further
12/06/2026 6:17 am
Authorization sprawl is a governance failure, not just an engineering smell. When policy is duplicated across services, the enterprise loses a defensible source of truth for who can do what. That creates inconsistent interpretations, hidden exceptions, and audit friction across human and machine access paths. The practitioner conclusion is simple: fragmented enforcement is already a governance problem before it becomes a security incident.
A few things that frame the scale:
- 97% of NHIs carry excessive privileges, increasing unauthorised access and broadening the attack surface, according to the Ultimate Guide to NHIs.
- Only 5.7% of organisations have full visibility into their service accounts, which leaves many machine identities outside reliable governance.
A question worth separating out:
Q: What is the difference between application-level access checks and shared authorization layers?
A: Application-level checks hard-code access logic inside each service, while shared authorization layers centralize policy and evaluate it at runtime. The first approach increases drift and maintenance burden. The second improves consistency, observability, and governance across human and non-human identities.
👉 Read our full editorial: Shared authorization layers for NHI governance and runtime policy
