Playground

AI Agent Guardrails

Define what agents are allowed to do - before execution

Control tools, APIs and actions in real time.

Why AI Agent Guardrails Matter

AI agents are no longer passive - they take actions. They call tools, execute workflows and interact with real systems.

Without guardrails, agents can perform unsafe operations, expose sensitive data or trigger unintended behavior.

Guardrails ensure every action is evaluated before execution.

🤖

Agents act autonomously

LLMs can now execute tools and workflows.

⚠️

Risk increases

Uncontrolled actions can lead to data leaks or failures.

🛡️

Guardrails prevent issues

Control behavior before actions execute.

What Guardrails Control

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Tools

Limit which tools agents can access and under what conditions.

🌐

APIs

Restrict access to external systems and sensitive endpoints.

Actions

Allow or block critical operations before execution.

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Workflows

Control how multi-step processes are executed.

How Guardrails Work

1️⃣

Define rules

Specify what actions are allowed or blocked.

2️⃣

Evaluate at runtime

Check every action before execution.

3️⃣

Enforce decisions

Allow or block actions instantly.

How Actra Enables AI Agent Guardrails

Actra enforces guardrails at runtime - before actions execute.

It evaluates policies inside your application , ensuring deterministic and real-time control over AI agents.

This allows you to safely deploy agents with full control over tools, APIs and workflows.

Start building safe AI agents

Explore More

🧠

Agentic Governance

Understand the broader control model for AI systems.

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⚔️

OPA Alternative

Compare Actra with traditional policy engines.

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Runtime Policy Engine

Learn how runtime enforcement works.

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