Cerbos 2026 Benchmark Sets Agent Authorization and Auditability Standards

· Original Report (PDF) ↗

Summary

Cerbos’s 2026 guide outlines an authorization maturity model, arguing that agent access should preserve human-user permissions and delegation records. It recommends a 90-day program to assess authorization, pilot a central policy layer, and measure progress.

Key points

  • The guide says agent authorization should preserve the human principal’s permissions across each delegation hop, rather than rely on broad service-account access.
  • It describes Stage 4 maturity as central policy evaluation across the full delegation chain, continuous decision logging, and real-time context-based authorization.
  • It argues audit records should identify the human principal, agent and model version, authorizing policy, and delegation scope so actions can be reconstructed.
  • The proposed 90-day plan covers assigning an owner, mapping authorization and AI agents, selecting and piloting a central policy layer, and presenting measured results to executives.
  • Cerbos authored the guide and promotes its authorization platform as a way to implement the controls it recommends.

Article Details

Publisher
Cerbos
Report Period
2026
Scope
Authorization maturity, including governance and auditability for AI agents and non-human identities.
Sample Size
Based on hundreds of conversations with security leaders, analysts, and regulators; no formal study sample is specified.
Key Statistics
  • The guide presents a 90-day plan for establishing visibility, selecting an authorization layer, and demonstrating an initial approach.
  • It recommends documenting authorization enforcement and evidence for the five services handling the most sensitive data.
  • It describes end-to-end reconstruction of agent actions across a rolling 30-day window as a working definition of audit-readiness.
Recommendations
  • Inventory production AI agents and autonomous workloads, including their human owners, credentials, reachable systems, and the data classifications of those systems.
  • Document the current authorization state, identify fragmented or poorly understood services, and assign a named owner to the authorization program.
  • Pilot a central authorization layer on a high-risk service and measure latency, evidence quality, and developer adoption.
  • For agents, use per-instance identities and scoped, time-limited credentials; preserve delegation chains and record the human principal in decision logs.
  • Test authorization policies against the full delegation chain and verify that decision logs support end-to-end reconstruction.

People

Vendors

Products

Industries