AI Agent Identity
Give your AI agents unique identities with scoped permissions, complete audit trails, and proper lifecycle management.
First-Class Agent Identities
AI agents deserve proper identity management.
Unique Identities
Each AI agent gets a distinct identity separate from human users.
Scoped Permissions
Define exactly what resources and actions each agent can access.
Full Audit Trail
Every action by every agent is logged with complete context.
Owner Attribution
Link agents to human owners for accountability and governance.
Lifecycle Management
Create, rotate, and revoke agent credentials programmatically.
Trust Levels
Assign trust levels that determine access to sensitive resources.
Agents Are Not Users
AI agents operate differently than human users. They need identities that reflect their autonomous nature while maintaining accountability to human owners.
- Distinct from human identities
- Short-lived credential rotation
- Automatic expiration policies
- API-based management
- Integration with existing IAM
- Hierarchical permission model
Agent Definition
# Agent Identity Definition $ cat agent-identity.yaml apiVersion: tigeraccess.io/v1 kind: AgentIdentity metadata: name: coding-agent-1 spec: owner: alice@company.com trustLevel: medium permissions: - resource: "servers/dev-*" actions: ["ssh", "scp"] - resource: "databases/staging" actions: ["read"] limits: maxActionsPerHour: 100 maxSessionDuration: 4h expires: 2024-12-31T00:00:00Z
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