AI Trust Manager
Cryptographic trust for AI
Establish cryptographic trust for AI agents and models to control access, enforce governance, and prove accountability.
Expose shadow AI
Discover agents, models, and MCP servers across your environments.
Control agent access
Give agents verifiable identities and enforce what they can access and do.
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
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
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
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
Why leaders choose DigiCert for AI Trust
Internet scale
AI is proliferating quickly, and DigiCert brings the proven expertise in managing trust at internet scale.
Cross-organization trust
The DigiCert AI Agent Passport federates identity and trust across environments and organizations.
Cryptographic identity
With DigiCert, agent identity and policy are cryptographically encoded and verifiable.
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