Open Policy Agent (OPA)

CNCF graduated open-source policy engine that decouples policy decision-making from policy enforcement. OPA uses the Rego policy language to define authorization rules. REST API accepts queries (is this user allowed to do X?) and returns policy decisions. Used for Kubernetes admission control, API authorization, microservice access control, and agent permission management.

Evaluated Mar 07, 2026 (0d ago) vv0.60+
Homepage ↗ Repo ↗ Security authorization policy rego open-source kubernetes api-gateway cncf rbac abac
⚙ Agent Friendliness
65
/ 100
Can an agent use this?
🔒 Security
87
/ 100
Is it safe for agents?
⚡ Reliability
88
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
--
Documentation
88
Error Messages
82
Auth Simplicity
80
Rate Limits
95

🔒 Security

TLS Enforcement
95
Auth Strength
78
Scope Granularity
85
Dep. Hygiene
92
Secret Handling
88

Apache 2.0 open-source — fully auditable. CNCF Graduated project (highest maturity tier). Used by major cloud providers. No built-in auth requires infrastructure-level security. Pure function evaluation — no side effects. Runs locally — no data sent externally.

⚡ Reliability

Uptime/SLA
90
Version Stability
88
Breaking Changes
85
Error Recovery
90
AF Security Reliability

Best When

You need flexible, policy-as-code authorization that can enforce complex rules across Kubernetes, APIs, and microservices with a standardized decision API.

Avoid When

You need relationship-based access control (Google Zanzibar-style) at massive scale, or prefer a simpler policy definition language than Rego.

Use Cases

  • Implement fine-grained authorization for AI agent actions — define what tools, data, and operations each agent is allowed to perform via Rego policies
  • Enforce agent permission boundaries in multi-agent systems — OPA evaluates which agents can invoke which other agents
  • Add policy-as-code authorization to AI API gateways — evaluate user permissions before routing to LLM or agent endpoints
  • Kubernetes admission control for AI workloads — validate that AI job definitions comply with security policies before scheduling
  • Audit trail for authorization decisions — OPA's decision log provides a complete record of what was allowed/denied and why

Not For

  • Authentication — OPA does authorization (can they?), not authentication (who are they?); use OAuth/OIDC for auth
  • Relationship-based authorization at Google Zanzibar scale — use AuthZed/SpiceDB for large-scale fine-grained access control
  • Teams not wanting to learn Rego — Rego has a learning curve; Cerbos or Warrant offer simpler policy APIs

Interface

REST API
Yes
GraphQL
No
gRPC
No
MCP Server
No
SDK
Yes
Webhooks
No

Authentication

Methods: bearer_token none
OAuth: No Scopes: No

OPA REST API has minimal built-in authentication — security handled at infrastructure level. Bearer token auth available for API access. Bundles and data updates support authentication. Production deployments use reverse proxy or service mesh for auth.

Pricing

Model: open_source
Free tier: Yes
Requires CC: No

OPA core is free. Styra (OPA creators) offers Styra DAS as commercial managed service. CNCF project with strong community support.

Agent Metadata

Pagination
none
Idempotent
Full
Retry Guidance
Not documented

Known Gotchas

  • Rego language has a learning curve — policy authors must understand Rego's logic programming model (not imperative)
  • Policy data (e.g., user roles, resource metadata) must be loaded separately from policy rules — data loading and policy evaluation are decoupled
  • OPA sidecar vs centralized deployment tradeoff — sidecar reduces network latency but increases operational complexity
  • Policy bundle distribution requires a bundle server — OPA doesn't include bundle distribution infrastructure out-of-box
  • Decision logs can grow large — implement log rotation and filtering for production deployments
  • Partial evaluation (compile API) is powerful but complex — understand when to use vs full evaluation
  • OPA built-in functions evolve between versions — verify built-in availability for your deployment version

Alternatives

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Scores are editorial opinions as of 2026-03-07.

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