AI Agent Accountability and Liability

When an AI agent causes damage, who is responsible? Without agent identity, accountability is impossible.

Accountability requires attribution. If an agent makes a $10,000 trading error, deletes critical data, or sends an offensive message, you need to know exactly which agent did it — and prove it.

Without cryptographic agent identity, attribution relies on logs that can be forged, timestamps that can be manipulated, and access tokens that can be shared. With Ed25519-signed actions, every operation carries a mathematical proof of which agent performed it.

AIdent provides the identity layer that makes accountability possible. Each agent has a unique UID tied to a public key. Every heartbeat, metadata update, and API interaction can be signed and verified. When something goes wrong, you have an immutable chain of evidence.

This matters for compliance too. Regulations like GDPR, SOC 2, and emerging AI governance frameworks increasingly require audit trails for automated systems. Agent identity is the foundation these regulations expect.