Agent Action Firewall Documentation
Learn how to secure your AI agents with policy-based control, human approval workflows, and tamper-evident audit trails.
Architecture Overview
Getting Started
Install and configure the firewall in minutes
SDK Reference
TypeScript SDK with full API documentation
API Reference
Complete REST API documentation
AI Agents
Integrate Claude, GPT, LangChain agents
Policies
Write custom OPA/Rego security policies
NLP Policies
AI-powered content safety and PII detection
Integrations
Connect with Slack, Discord, Jira, and more
Security
Best practices for securing your deployment
Key Concepts
Actions
Actions are requests from AI agents to perform operations like HTTP calls, database queries, or external API interactions. Each action is validated against security policies, evaluated for risk level, routed for approval if needed, and logged in the audit trail.
Policies
OPA (Open Policy Agent) policies written in Rego determine how actions are handled:
- Allow: Action proceeds immediately
- Deny: Action is blocked with reason
- Require Approval: Action waits for human approval
Approvals
High-risk actions can require human approval before execution. Approvals can be managed through the dashboard, Slack, Discord, Teams, or integrated with Jira/ServiceNow for ticket-based workflows.
Audit Trail
Every action, decision, and approval is logged with cryptographic hash chaining for tamper evidence. Proof packs can be exported for compliance and forensic analysis.
Ready to get started?
Follow our installation guide to set up the firewall in under 10 minutes.
Start Installation