Agent Identity Is Becoming a Protocol Layer, but Tool Calls Still Need Runtime Authorization

The text explores the complexities and distinctions between agent identity and machine identity within the context of AI and automation systems, emphasizing the need for separating identity verification from runtime authorization to ensure security and functionality. It discusses the evolving standards and protocols, such as SD-JWT, that enable cryptographically verifiable agent claims and selective disclosure, which are crucial for privacy-preserving interoperability. The text highlights Microsoft Entra Agent ID's role in offering governance structures for agent lifecycle management but notes that it does not address the real-time authorization needed for tool calls. It argues for a layered approach where identity establishes authenticity and baseline trust, while runtime authorization evaluates the specific conditions under which actions are permissible, using a context-rich decision model. The discussion underscores the importance of runtime policy evaluation to prevent overprivileged access and ensure that AI agents operate within intended boundaries, advocating for systems like Permit.io to manage these authorization decisions dynamically.