
Map your AI inventory
Connect AWS, GitHub, and Slack to automatically discover models, endpoints, APIs, and data flows. Build a centralized registry with ownership, risk tier, and deployment context for every AI system.
Enterprise AI governance
Continuously monitor inventory, enforce governance policies, and maintain audit-ready NIST AI RMF compliance — built for enterprise security teams.
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Governance workflows
A continuous loop from discovery to enforcement to evidence — designed for enterprise security teams who cannot afford governance gaps between releases.

Connect AWS, GitHub, and Slack to automatically discover models, endpoints, APIs, and data flows. Build a centralized registry with ownership, risk tier, and deployment context for every AI system.

Define governance policies, classify systems into Tier 1–3 risk levels, and block configuration drift before it reaches production. Use the governance copilot for NIST AI RMF-aligned recommendations.

Run automated compliance scans and generate exportable audit reports mapped to NIST AI RMF, SOC 2, and EU AI Act controls. Immutable audit trails capture every policy change and scan result.
Platform
From system discovery to policy enforcement to audit-ready reporting — everything your security, legal, compliance, and engineering teams need in a single workspace.

Automated scans across GitHub repos, cloud infrastructure, and AI configurations. Schedule on-demand or recurring scans with exportable PDF and CSV audit reports.
AI-assisted policy drafting, risk assessments, and remediation guidance aligned to NIST AI RMF Govern, Map, Measure, and Manage functions.
Classify every AI system into Tier 1–3 with framework heatmaps for NIST AI RMF, SOC 2, EU AI Act, and your organization's custom standards.
Centralized registry of models, endpoints, data flows, owners, and deployment environments. Track the full lifecycle from development to production.
Define, version, and enforce governance policies. Track violations, assign remediation owners, and measure time-to-resolution across teams.
Native connectors for AWS, GitHub, and Slack. Receive alerts when configurations drift from policy — before auditors or incidents find them.

Enterprise ready
Multi-tenant architecture, org-scoped isolation, SAML SSO, and audit-ready governance workflows — production controls from day one, not bolted on later.
Compliance
Maps your AI systems and policies to regulatory frameworks — updated with every scan, not once a year in a spreadsheet.
94% control coverage
Version 1.0
Govern, Map, Measure, and Manage functions with real-time control coverage across your AI inventory. Export gap analysis for leadership and auditors.
87% control coverage
Trust services criteria
Security and availability controls mapped to your AI systems and data flows. Evidence collection automated from integration scans.
82% control coverage
2024 regulation
Risk classification and documentation for high-risk AI deployments. Track conformity assessments and technical documentation requirements.
100% control coverage
Your organization
Define organization-specific governance rules enforced through automated scans. Version policies, track violations, and measure remediation SLAs.
Security architecture
Clear data boundaries, hardened authentication flows, and exportable evidence for your compliance program — with no black-box AI decisions on critical controls.
Every organization gets scoped Firestore collections. Cross-tenant data access is architecturally prevented — not just policy-prohibited.
GitHub, Slack, and integration tokens encrypted with Fernet. SAML SSO uses one-time exchange codes — no long-lived secrets in URLs.
Granular org roles with admin-only mutations for integrations, SSO config, and member management. Auditors get read-only evidence access.
Compliance reports, scan histories, and policy change logs formatted for security review, board reporting, and external auditor handoff.
Enterprise teams
Security, compliance, and engineering leaders using TrustFabric to govern AI at scale across regulated industries.
“TrustFabric gave us a single source of truth for every AI system in production. Our auditors finally have evidence they can work with — not screenshots from five different tools.”
“We went from spreadsheet governance to continuous scans in weeks. Policy violations surface before they become incidents, and our compliance team stopped chasing engineering for inventory updates.”
“The GitHub and AWS integrations mean engineering doesn't file tickets for every model deployment review. Governance is part of the pipeline, not a gate at the end.”
“NIST AI RMF coverage reporting used to take our team days each quarter. Now it's always current, and we export gap analysis for the board in minutes.”
“Multi-tenant isolation and SAML SSO were non-negotiable for our procurement team. TrustFabric shipped both without us bending our security model or running a six-month integration project.”
“Our legal team finally has visibility into which models touch regulated data — without slowing down product teams. That's the balance we couldn't find anywhere else.”
Get started
Schedule an enterprise demo with our team, or sign in to your existing workspace. We'll walk through your AI inventory, compliance frameworks, and integration setup.