API security best practices for the age of AI agents

AI agents have transformed the API threat landscape by acting autonomously on behalf of users, necessitating a shift in security approaches. Unlike traditional API clients that execute actions based on direct human input, AI agents make independent decisions which can lead to unintended consequences, highlighting the need for robust security measures. The text advocates for using OAuth as a foundational security protocol to manage agent permissions through short-lived access tokens, scopes for limiting actions, and claims for context-aware decisions. It emphasizes the importance of audience-restricted tokens to prevent misuse across different services and highlights the necessity for step-up authorization for high-privilege actions, ensuring user control over sensitive operations. The document underscores the risks associated with autonomous chaining, LLM-mediated decisions, non-human speed, and delegation depth, urging organizations to implement comprehensive validation for every request to safeguard against potential threats. WorkOS is mentioned as a solution that provides machine-to-machine authentication, fine-grained authorization, and extensive audit logs, catering specifically to the security needs of modern B2B applications interacting with AI agents.