Identity for AI Agents

AI agents don't just answer questions — they take actions. They call APIs, access user data, interact with MCP servers, and delegate work to other agents. Every one of these interactions is an identity decision: who is this agent, what can it access, and on whose behalf?

Without proper identity controls, agents become a vector for unauthorized data access, privilege escalation, impersonation, and compliance violations. ThunderID treats agents as first-class identities, applying the same authentication, authorization, and audit principles that protect human users.

The Four A's of Agent Identity

Administer

Define, provision, and manage agent identities with unique credentials and metadata.

Authenticate

Issue secure, verifiable credentials so agents can prove who they are.

Authorize

Enforce policies that control what agents can access and when they need human approval.

Audit

Track every agent action with delegation chains that show who did what, on whose behalf.

Interaction Patterns

Agents participate in different interaction patterns, each with its own identity requirements. ThunderID provides capabilities for every pattern.

Protect Your Agent

Control who can invoke your agent and what capabilities they can access.

Connect to Services

Your agent calls APIs, MCP servers, or LLMs — autonomously or on behalf of a user.

Multi-Agent Workflows

Agents delegate work to other agents while preserving trust and limiting scope at every hop.

MCP Authorization

Secure MCP servers and govern MCP clients with standards-based access control.