Key concepts
Select a term below to learn more about the concepts and features in DigiCert® AI Trust Manager.
Term | Description |
|---|---|
Establish, assess, and enforce trust for AI agents throughout their lifecycle by providing teams with complete visibility into agent identity, behavior, access, capabilities, policies, and runtime activity to ensure operation within approved security and governance boundaries. | |
Define and manage target cloud environments using authentication credentials to securely connect AI Trust Manager and access permitted resources. | |
Monitor and track your AI agent ecosystem through a centralized overview displaying key metrics—such as total connected clusters, registered agents, active policy violations from the last seven days, and unique agents with recent policy DENY events—to evaluate system health and maintain policy compliance. | |
Discover and catalog AI agents and models across connected cloud, registry, and security environments to gain complete visibility into unmanaged AI assets. | |
View and manage all known AI agents across your platform from a centralized interface that provides detailed visibility into agent identity, environment, status, risk levels, trust metrics, and management states. | |
Verify and validate an AI agent's digital identity and trust posture using a unified record that captures core metadata, capabilities, assigned policies, and contextual security evidence. | |
Configure and standardize AI agent security by applying reusable templates that define mandatory trust requirements, capabilities, policies, and controls to an agent's passport. | |
Define and enforce rules that control, monitor, and restrict AI agent behavior by governing resource access, permitted actions, and mandatory audit logging. | |
Enforce policy decisions at runtime by evaluating agent actions or requests against defined rules and allowing, blocking, or restricting activity based on the result. | |
Review and investigate policy violations where an AI agent or workload fails to comply with defined security requirements, analyzing affected assets, risk levels, and necessary response actions. | |
Analyze and discover cloud resources, identities, workloads, relationships, and security risks across connected environments to identify AI agents and their broader cloud context. |