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

🏗️

OPA

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

Actra

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

Key Differences

⚙️

Execution Model

OPA runs externally. Actra runs directly inside your application.

🌐

Latency

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

🤖

AI Agent Support

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

Runtime Enforcement

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

Why OPA Falls Short for AI Agents

No action-level control

OPA cannot control individual agent actions or tool execution.

Not built for agents

Designed for APIs and services, not autonomous systems.

Network dependency

Requires external evaluation, adding latency and failure points.

Why Actra is Built for Modern Systems

In-process execution

Runs inside your application for instant decisions.

🤖

Agent-native design

Built for AI agents, tools and workflows.

🔒

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 →