Overview
DigiCert® AI Trust Manager is a centralized platform for establishing and managing trust across AI agents and models. It provides visibility into AI assets, assesses their security and trust posture, applies policies and controls, and monitors activity and violations throughout their lifecycle. The platform helps organizations ensure that AI agents and models are identifiable, governed, secure, and operating within approved boundaries.
Key Capabilities
Phase | Core objective | Description |
|---|---|---|
Discover | Asset visibility & inventory | Build a centralized inventory of AI agents and models across your environment. Discover where they are deployed, what infrastructure they use, which images and versions are running, and how they connect to other systems. |
Verify | Cryptographic identity | Establish cryptographic trust for AI agents and models through verifiable identities and provenance. Use digital passports to associate trusted identities, capabilities, and attributes with AI assets, helping you distinguish known and approved workloads from untrusted or unknown ones. |
Govern | Policy formulation | Define policies that control what AI agents and models can access and how they can operate. Apply enforceable controls based on identity, capabilities, environment, namespace, network access, and other organizational requirements. |
Enforce | Real-time guardrails | Continuously enforce trust and security policies across AI workloads. Detect violations, prevent unauthorized actions, and apply controls when agents or models operate outside approved boundaries. |
Monitor | Continuous auditing | Gain centralized visibility into AI activity, deployments, policy decisions, violations, and security events. Use audit trails and operational insights to investigate activity, understand changes, and maintain continuous oversight. |
Manage trust across the lifecycle | End-to-end governance | Manage AI assets from discovery and verification through deployment, operation, and retirement. Maintain trusted identities and policies as agents and models evolve, while ensuring security controls remain aligned with your organization's requirements. |