Agent identity is a really hard problem (12gramsofcarbon.com)

The challenge of "agent identity" has emerged as a crucial issue in the AI community, significantly affecting the deployment of AI agents in business and the wider economy. Agent identity refers to the complexities of determining the roles and responsibilities of AI agents when they perform tasks, such as opening pull requests or accessing sensitive data. Without a clear identity system, accountability becomes murky—leading to pressing questions of liability in the event of errors or data leaks. Current solutions, like single sign-on (SSO) or OAuth, fall short of addressing the unique needs of AI agents, as they often inherit human credentials and permissions, complicating responsibility and risk management. Nori, a company focused on cloud agent infrastructure, has identified three main strategies organizations currently employ to tackle agent identity, each with its own drawbacks. These range from single agent identities that grant unrestricted access for speed, to per-person identity inheritance, which connects an agent's actions to a specific user, complicating broader automation. Ideally, a dynamic identity system would adjust agent permissions based on the specific scope of interaction, enabling more secure and efficient operations. Nori is actively exploring ways to enhance the agent identity experience within their infrastructure, emphasizing the need for a sophisticated solution that accommodates the complexities of agent interactions.