How Identity Collapses in Multi-Step AI Workflows—and How to Fix It

In production environments running multi-step AI agent workflows, user identity is lost across asynchronous execution chains, allowing sensitive operations like financial transactions or data deletions to execute with unrestricted backend permissions. This identity collapse, rooted in the Confused Deputy Problem, becomes a critical vulnerability when agents face prompt injection attacks or scope drift—leaving organizations exposed to catastrophic misuse of their infrastructure. Solving this requires embedding cryptographic identity verification throughout the execution pipeline, making it essential for any multi-tenant or high-stakes automation system.