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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.

Agent-SPM by TrustLens (TrustLens for short) 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.

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Concepts

How it works

The five-stage lifecycle — connect, discover, assess, monitor, alert — and how data flows from your environment.

Inventory

The unified catalog of every AI surface — agents, models, IDEs, browsers, extensions, MCP servers, configs, and endpoint hosts.

Risk & findings

How posture is scored, the catalog of finding types, and the triage workflow for resolving them.

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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.

Azure

Azure AI Foundry (v2), AI Hub, Azure OpenAI Classic (v1), and legacy ML Workspaces under one integration.

GCP Vertex AI

Vertex AI Reasoning Engines, models, datasets, and Model Armor guardrails.

Mistral AI

Mistral agents, models, document libraries, and native moderation policies.

M365 Copilot

Copilot Studio bots and Microsoft 365 Copilot agents via Dataverse and Microsoft Graph.

GitHub

Agent configs, MCP server definitions, and agent source code across your repositories.

Endpoint Discovery (MDM)

Deploy a read-only discovery script via Microsoft Intune or Kandji to inventory AI on managed endpoints.

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Reference

Data handling

What is collected, what is never collected, where it’s stored, retention, and how to revoke access.

Pair with Runtime

Use Agent-SPM findings as the input to Runtime enforcement policies.