> ## Documentation Index
> Fetch the complete documentation index at: https://docs.neuraltrust.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Overview

> Discover and continuously assess every AI surface across your organization — agents, models, IDEs, browsers, MCP servers, and managed endpoints — from a single inventory.

**TrustLens** connects to your cloud accounts, source code, MDM, and SaaS to **discover what AI you have, where it lives, and how exposed it is**. It produces a unified, continuously refreshed inventory and a per-resource posture score so you can prioritize the riskiest surfaces first.

For each connected environment, TrustLens:

* **Discovers** every AI agent, model, dataset, IDE, browser extension, MCP server, agent CLI, and managed endpoint touching AI
* **Assesses** the security posture of each resource — tools, instructions, guardrails, authentication, access controls
* **Monitors** usage telemetry — conversations, token consumption, latency, errors, tool invocations
* **Alerts** on misconfigurations, missing guardrails, and policy violations
* **Re-syncs** on a configurable schedule to reflect changes in your environment

All credentials are encrypted at rest. Every connector is **strictly read-only** — TrustLens never writes to or modifies any resource.

## Concepts

<CardGroup cols={3}>
  <Card title="How it works" icon="workflow" href="/trustlens/how-it-works">
    The five-stage lifecycle — connect, discover, assess, monitor, alert — and how data flows from your environment.
  </Card>

  <Card title="Inventory" icon="boxes" href="/trustlens/inventory">
    The unified catalog of every AI surface — agents, models, IDEs, browsers, extensions, MCP servers, configs, and endpoint hosts.
  </Card>

  <Card title="Risk & findings" icon="shield-alert" href="/trustlens/risk-and-findings">
    How posture is scored, the catalog of finding types, and the triage workflow for resolving them.
  </Card>
</CardGroup>

## Connect your first environment

Pick the platform you want to discover first. Each guide covers the exact permissions required, step-by-step setup, and what you gain (and lose) at each permission level.

<CardGroup cols={2}>
  <Card title="Azure" icon="cloud" href="/trustlens/integrations/azure">
    Azure AI Foundry (v2), AI Hub, Azure OpenAI Classic (v1), and legacy ML Workspaces under one integration.
  </Card>

  <Card title="GCP Vertex AI" icon="cloud" href="/trustlens/integrations/gcp-vertex-ai">
    Vertex AI Reasoning Engines, models, datasets, and Model Armor guardrails.
  </Card>

  <Card title="Mistral AI" icon="wind" href="/trustlens/integrations/mistral">
    Mistral agents, models, document libraries, and native moderation policies.
  </Card>

  <Card title="M365 Copilot" icon="bot" href="/trustlens/integrations/m365-copilot">
    Copilot Studio bots and Microsoft 365 Copilot agents via Dataverse and Microsoft Graph.
  </Card>

  <Card title="GitHub" icon="github" href="/trustlens/integrations/github">
    Agent configs, MCP server definitions, and agent source code across your repositories.
  </Card>

  <Card title="Endpoint Discovery (MDM)" icon="monitor-cog" href="/trustlens/integrations/endpoint-mdm">
    Deploy a read-only discovery script via Microsoft Intune or Kandji to inventory AI on managed endpoints.
  </Card>
</CardGroup>

## Reference

<CardGroup cols={2}>
  <Card title="Data handling" icon="database-zap" href="/trustlens/data-handling">
    What is collected, what is never collected, where it's stored, retention, and how to revoke access.
  </Card>

  <Card title="Pair with TrustGuard" icon="shield-check" href="/trustguard/overview">
    Use TrustLens findings as the input to Runtime enforcement policies.
  </Card>
</CardGroup>