Trussed AI is the AI control plane that enforces policy at execution time across every AI request and response.

Trussed embeds directly in the AI execution path between enterprise applications, AI agents, and underlying models, ensuring every interaction is evaluated against enterprise and regulatory policy before outputs reach users or downstream systems.

Designed for regulated enterprises in healthcare, insurance, and financial services, Trussed replaces after-the-fact governance and fragmented point tools with a single enforcement layer that operates in real time.

Built for engineering and security teams, Trussed delivers:
 •Execution-time policy enforcement on every AI call
 • Prompt inspection, output filtering, and MCP tool-call governance
 • Continuous, timestamped audit artifact generation
 • Model-agnostic enforcement across OpenAI, Anthropic, Gemini, Bedrock, LLaMA, Mistral, and open source
 • Cloud and private data center deployment supported by design
In production at a top U.S. insurance carrier, Trussed governs 1B+ tokens per day across hundreds of applications with 99.9% uptime.

Backed by ManchesterStory, Trussed enables regulated enterprises to scale generative and agentic AI without sacrificing control at the moment of execution.
See enforcement in action at www.trussed.ai

As regulatory pressure mounts from the FDA, FTC, HIPAA, EU AI Act, and NIST, most organizations admit they're unprepared. The risk is growing fast with the rise of agentic AI, where systems act autonomously, often without human oversight.

Traditional governance approaches built by patching point tools can’t keep up. Trussed AI embeds autonomous compliance directly into the AI infrastructure, ensuring every use case is governed from day one without relying on a fragile patchwork of tools.

Trussed AI

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Trussed AI

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