AI Trust Manager

Cryptographic trust for AI

Establish cryptographic trust for AI agents and models to control access, enforce governance, and prove accountability.

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AI Trust Manager
Expose shadow AI

Expose shadow AI

Discover agents, models, and MCP servers across your environments.

Control agent access

Control agent access

Give agents verifiable identities and enforce what they can access and do.

Secure models

Secure models

Verify model integrity and protect sensitive data from build to runtime.

Explore AI Trust Manager

One control plane for agents, models, and MCP servers.

Visibility

Know what AI is running

  • Discover agents, models, and MCP servers across your environments
  • Maintain a continuously updated inventory of discovered AI assets
  • Register approved assets privately and choose which to publish in a public registry
Visibility
Passport

Trusted identity and policy for agents

  • Assign each agent a cryptographically verifiable identity
  • Define which actions, systems, and connections each agent can access
  • Link every agent to organizational and human ownership

Explore AI Agent Trust

Passport
Control

Enforce what agents can do

  • Authorize agent actions based on identity, policy, and trust conditions
  • Automate passport issuance, renewal, and revocation
  • Record activity across agentic sessions for investigation and audit

Explore AI Agent Trust

Control
Attest

Prove models remain trustworthy

  • Verify model integrity from development through deployment
  • Protect runtime execution in trusted execution environments
  • Record model lifecycle activity in immutable audit logs

Join the Model Trust preview

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Why leaders choose DigiCert for AI Trust

Scale

Internet scale

AI is proliferating quickly, and DigiCert brings the proven expertise in managing trust at internet scale.

Trust certified authenticated

Cross-organization trust

The DigiCert AI Agent Passport federates identity and trust across environments and organizations.

Cryptography

Cryptographic identity

With DigiCert, agent identity and policy are cryptographically encoded and verifiable.

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Built to simplify AI governance

Gain control over shadow AI and agent sprawl, build guardrails around AI deployments, and strengthen confidence with clear auditability and human ownership.

Agent sprawl

  • Identify which agents exist, where they are running, what tools they use, and what resources they access
  • Create a centralized inventory of AI assets
  • Apply policy controls to agents regardless of operating environment
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Security guardrails

  • Apply time-limited and purpose-specific authorization controls to AI agents
  • Automate passport revocation to enable a real-time kill switch for agentic sessions
  • Ensure secure and confidential execution of key model and agent workloads
Security guardrails

Audit and compliance readiness

  • Review relationship graphs connecting agents to systems, models, connections, and data classifications
  • Continuously prove AI workload integrity with independent attestation from a trusted third party
  • Generate complete audit logs and lineage information across agentic sessions
Audit and compliance readiness

Close AI governance gaps

Build the visibility, control, and accountability needed to govern AI at enterprise scale.

Reduce AI blind spots

Reduce AI blind spots

Know which AI assets are running, where, and under what authority.

Control agent actions

Control agent actions

Enforce identity and policy controls before agents access sensitive systems and resources.

Establish accountability

Establish accountability

Connect AI activity to human ownership, lineage, policy decisions, and auditable records.

Automate the kill switch

Automate the kill switch

Revoke agent credentials automatically when trust conditions change.

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"As AI agents become more embedded in enterprise workflows, establishing clear identity, permissions, and accountability will be essential to deploying them responsibly at scale. We see DigiCert Agent Trust as a promising approach to extending proven principles of digital identity to this new class of autonomous systems. The ability to verify an agent's identity, define what it is authorized to do and maintain visibility into its actions could give organizations the foundation they need to adopt agentic AI with greater confidence."

Ajitha Choudary

Vice President, Global Security Engineering and IAM, UKG

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Explore AI Trust in depth

Blog

DigiCert brings AI Passports to NVIDIA Open Agent Safety Platform

Read the blog

White paper

The New Trust Architecture for AI

Read the white paper

Executive brief

The Executive Guide to Trust in the Age of AI

Get the brief

Video

PKI-Powered Security for the Autonomous Era

Watch the video

Guide

How to Trust AI Agents as they gain more autonomy

Get the guide

Datasheet

AI Agent Trust datasheet

Get the datasheet

Frequently asked questions

What is DigiCert AI Trust Manager?
DigiCert AI Trust Manager helps organizations discover, secure, and govern AI agents, AI models, and MCP servers. It provides centralized visibility, cryptographically verifiable identity, policy-based authorization, lifecycle management, model integrity verification, and audit records—helping organizations control AI access and establish accountability across environments and organizations.
What does AI Trust Manager protect?
DigiCert AI Trust Manager protects AI agents, AI models, and MCP servers, as well as the systems, tools, and data they access. It helps organizations uncover shadow AI, control what agents are authorized to do, verify that models remain trustworthy, and maintain auditable records across AI interactions.
How does AI Trust Manager govern AI agents?
DigiCert AI Trust Manager assigns each AI agent a cryptographically verifiable AI Agent Passport linked to its organizational and human ownership. Much like a human passport provides a recognized way to verify identity across borders, the DigiCert AI Agent Passport gives each agent a cryptographically verifiable identity that can be trusted across environments and organizations. It binds that identity to policies that determine what the agent can do, when, and where.
How does AI Trust Manager protect AI models and their integrity?
DigiCert AI Trust Manager verifies AI model integrity from development through deployment and runtime. It uses cryptographic verification and independent attestation to help prove that a model has not been altered, protects sensitive workloads using trusted execution environments, and records model lifecycle activity in immutable audit logs.
How can organizations get started with DigiCert AI Trust Manager?
Organizations can start by discovering AI agents, models, and MCP servers across their environments and building a continuously updated inventory. From there, teams can register approved assets, assign verifiable identities and ownership, establish access policies, and apply integrity controls. Contact DigiCert to see a demonstration or discuss an AI trust strategy.
How is AI Trust Manager different from traditional IAM and machine identity management?
Traditional IAM is designed primarily to manage human identities and access. AI agents, however, are autonomous workloads—and PKI is purpose-built to secure workloads using cryptographically verifiable identities. DigiCert AI Trust Manager applies this foundation to agents with three core differentiators: cryptographic identity, trust across organizational boundaries, and support at internet scale. It complements existing IAM and machine identity systems with controls designed specifically for autonomous AI.

See AI Trust Manager in action

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