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.
TrustLens is built around the principle that discovery should not create new risk. This page documents exactly what data leaves your environment, what stays inside it, and the controls available to you.
What is collected
For every connected integration, TrustLens collects resource metadata and aggregated telemetry only:
| Category | Examples |
|---|
| Resource identity | Agent / model / dataset / repo / device IDs, names, descriptions |
| Configuration | Tools, instructions, knowledge bases, guardrail policies, access controls, MCP server declarations |
| Aggregated telemetry | Run counts, conversation counts, average latency, error counts, tool-call counts per category |
| Source provenance | Which integration produced each record, when it was last synced |
| Endpoint inventory | Per-device list of installed AI software, signed and reported by the Discovery script |
What is never collected
These categories are explicitly excluded by every connector:
- Prompt or message content sent to any model
- Model responses or completions
- The contents of any tool call (input or output)
- API keys, OAuth tokens, or secret values referenced by configurations (variable names are kept, values are dropped client-side)
- File contents from source repositories that are not on the agent-config / MCP allowlist
- Browser history, cookies, session tokens, or any user activity content from managed devices
- Personally identifiable information about end-users of the agents
Where data is stored
| Data | Storage | Encryption |
|---|
| Inventory and findings | NeuralTrust control plane database | AES-256 at rest, TLS 1.2+ in transit |
| Integration credentials (service principal secrets, API keys, GitHub App private keys, Discovery Tokens) | Dedicated secrets store with envelope encryption | Customer-managed keys available on Enterprise |
| Aggregated telemetry | Time-series store, retention configurable per integration | Same as above |
| Audit logs | Audit log store, forwardable to your SIEM | Same as above |
The default control-plane region matches your tenant’s region (US, EU). For hybrid deployments where the data plane runs in your own cloud account, see Architecture & deployment.
Retention
| Data class | Default retention | Configurable |
|---|
| Current inventory snapshot | Indefinite (current state) | Cleared when the integration is deleted |
| Historical inventory diffs | 90 days | 30 / 90 / 180 / 365 days |
| Aggregated telemetry | 90 days | 30 / 90 / 180 / 365 days |
| Audit logs | 365 days | Per Audit & Compliance policy |
When an integration is deleted, all inventory and telemetry tied to it is scheduled for deletion within 24 hours and purged within 30 days.
Network egress
| Source | Destination | Port | Purpose |
|---|
| NeuralTrust control plane | Azure ARM, Microsoft Graph, Power Platform | 443 | Read your Azure / M365 metadata |
| NeuralTrust control plane | GCP API endpoints | 443 | Read your Vertex AI metadata |
| NeuralTrust control plane | api.mistral.ai | 443 | Read your Mistral resources |
| NeuralTrust control plane | api.github.com | 443 | Read your GitHub repositories |
| Your managed devices | posture.neuraltrust.ai | 443 | Endpoint Discovery script reports |
Add posture.neuraltrust.ai to the egress allowlist applied to your managed device fleet. Inbound from NeuralTrust to your environment is never required — all sync flows are NeuralTrust-initiated outbound.
Read-only credentials
Every integration is documented with the minimum read-only roles or scopes required:
- Azure —
Reader + Azure AI User at subscription scope (granular alternatives documented per integration)
- GCP Vertex AI —
roles/aiplatform.viewer and a fixed list of read-only viewer roles
- Mistral — workspace API key (no roles in Mistral)
- M365 Copilot — Application User with
System Customizer role + AgentInstance.Read.All Graph permission
- GitHub — GitHub App with
contents:read and metadata:read
- Endpoint Discovery — per-integration Discovery Token, scoped to write only into that integration’s inventory
If a connector is granted broader permissions than required, no additional data is collected — the connector calls the same read-only endpoints regardless.
Revoking access
Revocation is fully under your control and works at the upstream provider:
| Integration | Revoke by |
|---|
| Azure | Delete the service principal, or remove its role assignment |
| GCP Vertex AI | Delete the service account JSON key, or remove IAM role bindings |
| Mistral AI | Revoke the API key in admin.mistral.ai |
| M365 Copilot | Disable the Application User in Power Platform Admin Center, or revoke the app registration |
| GitHub | Uninstall the GitHub App from the organization |
| Endpoint Discovery | Remove the script from your MDM, or rotate the Discovery Token in the TrustLens console |
After revocation, the next sync will fail and the integration will be marked Disconnected. Inventory data already collected is retained per the retention policy above and can be deleted immediately by deleting the integration.
Compliance posture
TrustLens inherits the NeuralTrust platform’s compliance program:
- SOC 2 Type II
- ISO 27001
- GDPR — no personal data is collected from end-users of your agents
- HIPAA-ready when deployed in the hybrid data plane configuration
See Security overview and Data privacy for the full program details.