BCI: Behavioral Commitment Identity with Zero-Knowledge Challenge-Response Extension

This research introduces Behavioral Commitment Identity (BCI), a novel cryptographic framework for verifying autonomous AI agents without storing credentials. BCI derives an agent’s identity from its behavioral patterns using fuzzy commitment schemes and adds a Zero-Knowledge Challenge-Response layer via a Memory Secret (MS) provisioned to the agent’s in-context memory. Together, these mechanisms satisfy the Agent Identity Trilemma: unforgeability, portability, and non-custody. The paper provides a full mathematical specification, language-agnostic pseudocode, and a transparent disclosure of known weaknesses. BCI enables secure cross-server authentication for AI agents performing financial or transactional operations while eliminating the risk of credential theft. The research contributes a new primitive for AI agent identity verification, inviting the community to review, extend, and improve the framework.