Playground

Actra vs OPA

Modern policy engine vs infrastructure-era policy engine

Why AI agents require a new approach to policy enforcement

Open Policy Agent (OPA) was designed for infrastructure policy - enforcing rules across services, gateways and cloud systems.

Actra is built for AI agents - controlling actions, tools and workflows at runtime before execution.

As systems evolve from APIs to autonomous agents, policy must move closer to execution.

Two Different Approaches

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OPA

External policy engine designed for infrastructure and network-level enforcement.

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Actra

In-process policy engine built for runtime decision control inside applications.

Key Differences

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Execution Model

OPA runs externally. Actra runs directly inside your application.

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Latency

OPA requires network calls. Actra evaluates instantly with zero latency.

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AI Agent Support

OPA does not support agent workflows. Actra is built for agents and tools.

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Runtime Enforcement

Actra evaluates actions before execution. OPA evaluates requests after they are made.

Why OPA Falls Short for AI Agents

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No action-level control

OPA cannot control individual agent actions or tool execution.

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Not built for agents

Designed for APIs and services, not autonomous systems.

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Network dependency

Requires external evaluation, adding latency and failure points.

Why Actra is Built for Modern Systems

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In-process execution

Runs inside your application for instant decisions.

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Agent-native design

Built for AI agents, tools and workflows.

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Deterministic enforcement

Same input always produces the same decision.

Move beyond infrastructure policy

Explore More

🧠

Agentic Governance

Understand the new control model for AI systems.

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🛡️

AI Agent Guardrails

Learn how to enforce safe agent behavior.

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⚡

Runtime Policy Engine

See how runtime enforcement works.

Learn more →