Playground

Runtime Policy Engine

Evaluate decisions exactly when they matter

In-process policy evaluation for real-time systems

A runtime policy engine evaluates rules during execution - at the exact moment an action is about to occur.

Unlike traditional policy systems that run before deployment or after requests, runtime engines make decisions in real time, ensuring every action is validated before execution.

Why Runtime Matters

Real-time decisions

Evaluate policies exactly when actions happen.

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No latency

Run inside your application without network calls.

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Deterministic

Same input always produces the same decision.

From Pre-Execution Checks → Runtime Enforcement

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Traditional Policy

Evaluated before deployment or after requests are made.

Runtime Policy

Evaluated at execution time - before actions happen.

Where Runtime Policy Engines Run

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External (Traditional)

Separate services requiring network calls for evaluation.

⚙️

In-process (Actra)

Runs directly inside your application for instant decisions.

Actra Runtime Approach

Actra is an in-process runtime policy engine built for modern systems.

It evaluates policies inside your application , ensuring every decision is made instantly without network overhead.

This enables consistent enforcement across AI agents, APIs and workflows with zero latency and deterministic behavior.

Where Runtime Policy Engines Are Used

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AI Agents

Control tool usage and agent actions in real time.

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APIs

Enforce authorization and policy decisions at execution time.

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Workflows

Control multi-step processes dynamically.

Build with runtime enforcement

Explore More

🧠

Agentic Governance

Understand the broader control model.

Learn more →
🛡️

AI Agent Guardrails

Learn how to enforce safe agent behavior.

Read more →
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OPA Alternative

Compare Actra with traditional policy engines.

Compare →