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Documentation Index

Fetch the complete documentation index at: https://docs.adrian.secureagentics.ai/llms.txt

Use this file to discover all available pages before exploring further.

Secureagentics is an AI agent security and governance platform that gives you visibility and control over every AI agent running in your environment. Whether you’re deploying customer-facing chatbots, autonomous coding agents, or complex multi-agent workflows, Secureagentics lets you monitor behavior, enforce security policies, and respond to threats — all from a single platform.

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What you can do

Quick Start

Connect your first agent and start monitoring in under 5 minutes.

Core Concepts

Learn the key terms and mental models behind Secureagentics.

Connect Agents

Integrate your AI agents with the Secureagentics SDK or API.

Security Policies

Define and enforce rules that govern what your agents can and cannot do.

Monitoring

Observe agent activity, trace requests, and spot anomalies.

API Reference

Full reference for the Secureagentics REST API.

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How it works

1

Connect your agents

Instrument your AI agents using the Secureagentics SDK or by calling the REST API directly. Each agent registers itself and begins sending events.
2

Define security policies

Create policies that specify allowed behaviors, blocked actions, rate limits, and data-handling rules. Policies are evaluated in real time against every agent action.
3

Monitor and respond

Watch your agents in the Secureagentics dashboard. Receive alerts when policies are violated, investigate events in the audit log, and take action.

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Supported integrations

Secureagentics works out of the box with the most popular AI frameworks and LLM providers:
  • OpenAI — GPT-4, GPT-4o, and other OpenAI models
  • LangChain — Chains, agents, and tool-use workflows
  • Custom agents — Any agent you build, via the REST API or SDK
See the Integrations overview for the full list.