# Trussed AI

> Enterprise AI governance platform for regulated industries

## At a glance

| Field | Value |
| --- | --- |
| Category | Compliance & Regulatory |
| Type | Solutions Provider |
| Region | NA |
| Headquarters | Saratoga, California, USA |
| Founded | 2023 |
| Stage | Startup |
| Employees | 11-50 |
| Funding | Seed |

## Overview

Trussed AI is a compliance and governance platform for production AI that helps regulated enterprises safely deploy AI applications and agents. Founded in 2023, the company provides a runtime control plane that operates as a drop-in proxy between AI agents and enterprise systems, enforcing organizational policies at the point of execution without requiring code changes.

The platform addresses a core risk in regulated industries: controlling what AI agents actually do (tool access, workflows, data flow) rather than just controlling what models generate. Trussed AI intercepts tool interactions, performs sensitive data detection and redaction, validates workflows, and generates complete audit trails for compliance with standards like HIPAA, GDPR, FERPA, NIST AI RMF, and ISO 27001. This enables insurance companies, healthcare providers, financial services firms, and universities to deploy AI agents in controlled environments while maintaining governance compliance.

The company has raised seed funding led by ManchesterStory (an insurance-focused venture fund) with participation from First Trust Capital Partners, Elefund, UPMC Enterprises, SemperVirens, Snowflake Ventures, and Watershed Ventures. The platform is available via REST API with integration support for languages including Python, TypeScript, and Go, and works with enterprise systems like Salesforce, GitHub, Slack, Google Workspace, and SQL databases.

## Products & services

### AI Control Plane

Runtime governance and policy enforcement platform that operates as a drop-in proxy to intercept and control AI agent interactions with enterprise systems.

**Key features:**

- Runtime policy enforcement at the point of tool execution
- Model Context Protocol \(MCP\) server governance
- Sensitive data detection and automatic redaction
- Multi\-step workflow governance and validation
- Complete audit trail generation for compliance
- Policy templates for regulated industries

*Target users:* Enterprise security teams, compliance officers, and developers deploying production AI agents in regulated environments

### Language & Integration Support

**Key features:**

- \*\*Languages:\*\* Python, TypeScript, Go, REST API
- \*\*Enterprise Integration Points:\*\* Salesforce, GitHub, Slack, Google Workspace \(Docs, Slides\), SQL databases, data warehouses, internal APIs
- \*\*Compliance Standards:\*\* SOC 2 Type II, HIPAA, GDPR, FERPA, NIST AI RMF, ISO 27001

## Category & focus

- Subcategories: AI Governance, Risk Management, Compliance Automation
- Insurance verticals: P&C Commercial, Health, Life & Annuity, Specialty/E&S
- Target customers: Carriers, Enterprises deploying AI in regulated environments

## Notable customers

- Insurance companies
- Healthcare organizations
- Financial services firms
- Universities and research institutions

## Links

- Website: <https://trussed.ai>
- Directory profile: <https://insurtechlist.com/companies/trussed-ai/>
- Linkedin: <https://www.linkedin.com/company/trussed>

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*Last updated: 2026\-06\-17*