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The Control Plane for Production AI

Production-ready AI with Built-in Governance

Trussed is the enterprise AI control plane that enforces governance at runtime across AI apps, agents, and developer tools, turning static policies into real-time control.

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Trussed AI platform showing compliance and regulations dashboard

Assessment

How mature is your AI governance?

Not sure where to start?

Take our 3 minute AI Governance Assessment to evaluate your organization's readiness across governance, security, compliance, runtime controls, and agentic AI.

Take the Assessment

You'll receive a personalized report including

AI Governance Maturity Score
Top security gaps
Compliance readiness
MCP & Agentic AI readiness
Recommended next steps

The Problem

Enterprise AI is outpacing the systems meant to govern it

Modern AI systems no longer stop at prompts and model responses.

Agents now query databases, retrieve records, trigger workflows, modify systems, and interact with enterprise infrastructure through MCP servers and tool calls. Traditional AI governance focuses on what models say. Enterprises also need governance over what agents do.

Ungoverned tool access

Agents can access sensitive systems and data through MCP tools.

Invisible operational behavior

Organizations may govern model outputs while remaining blind to runtime actions.

Data leakage and compliance exposure

Tool responses may contain regulated or sensitive information.

Uncontrolled workflows

Agents can trigger actions across systems without policy enforcement.

Fragmented visibility

Model interactions, tool activity, and workflows are often disconnected across systems.

Architecture

Govern the full AI execution path

Applications

AI Agents

Trussed Governance Layer

MCP Servers + Tools

Models + Enterprise Systems

Trussed sits between agents, MCP servers, enterprise tools and models: providing centralized governance, observability, and runtime enforcement across every interaction.

MCP Governance

Govern MCP servers and tool interactions

MCP servers allow AI agents to interact with enterprise systems and operational infrastructure.

Examples of MCP servers

Google Docs

Document creation, editing, summarization

Google Slides

Presentation management, content updates

Salesforce

CRM access, customer records, workflow automation

GitHub

Repositories, pull requests, code management

Slack

Messaging, notifications, collaboration

Databases

Querying, updating, retrieving operational data

Internal APIs

Custom business processes and enterprise actions

Tools exposed

tools exposed

Each MCP server exposes specific tools agents can invoke during execution.

Google Docs MCP server

›read_document

›write_document

›summarize_document

Google Slides MCP server

›read_slides

›delete_slides

Agents can chain multiple tools together within a workflow, reading information, modifying content, triggering actions, and updating systems autonomously.

Trussed governs these interactions in real time.

Capabilities

Platform Capabilities

Everything you need to run AI safely, reliably, and cost-effectively in production.

Runtime governance

Real-time enforcementAgent + MCP coverage

Tool-level enforcement

Tool call policiesPre-execution checks

Runtime inspection

Sensitive dataPolicy violationsUnsafe actions

Workflow governance

Multi-step tracesCross-system visibility

Observability and auditability

Audit trailsRegulatory evidence

How It Works

A control layer integrated into your AI stack

Trussed sits in the flow of AI interactions, providing real-time visibility and control without disrupting existing systems.

Connect your AI ecosystem

Integrate with your models, applications, agents, MCP servers, and developer tools as a proxy through public APIs.

Define policies and guardrails

Configure governance, security, compliance, and usage policies aligned with organizational and regulatory requirements.

Enforce in real time

Every AI interaction and MCP tool call is monitored and evaluated at runtime. Policies are enforced instantly across models, agents, MCP servers, workflows, and enterprise systems, with intelligent routing and failover to maintain reliability.

Observe, audit, and optimize

Gain continuous visibility into usage, risks, costs, performance, and operational behavior with audit-ready records and actionable insights.

Manage data and maintain compliance

Manage prompts, responses, MCP payloads, and metadata with configurable retention, data residency controls, and secure access policies. Maintain complete audit trails and verifiable compliance evidence for internal reviews and regulatory investigations.

Security & Compliance

Built for regulated enterprises

Trussed enforces governance, security, and compliance across both model interactions and agent-to-tool workflows.

Runtime guardrails

Protect sensitive data and apply runtime guardrails across both model interactions and agent-to-tool workflows.

Visibility across AI and infrastructure

Maintain visibility into how AI systems interact with enterprise infrastructure, MCP servers, and tools.

Compliance as an outcome

Compliance becomes the outcome of continuous governance and enforcement, not a separate operational process.

SOC 2 Type II

HIPAA

GDPR

FERPA

NIST AI RMF

ISO 27001

For Developers

Built for developers

Integrate in minutes with our SDKs. Just swap your API endpoint, Trussed works as a drop-in proxy with zero changes to your application code.

PythonTypeScriptGoREST API

index.ts

import trussed from "@trussed/sdk";
const client = trussed.init({
  apiKey: process.env.TRUSSED_API_KEY,
});
// Route through Trussed with built-in policies
const response = await client.chat.completions.create({
  model: "gpt-4",
  messages: [{ role: "user", content: prompt }],
  policies: ["pii-redaction", "cost-limit"],
});

Run AI safely in production

Join enterprises that trust Trussed to govern, secure, and optimize their AI infrastructure.

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