AI agents vs service accounts: Key differences and what to do about them

AI agents represent a new category of non-human identities (NHI) that diverge significantly from traditional NHIs like service accounts and API clients, creating distinct security and operational challenges. Unlike service accounts, which have predefined, code-based behaviors and fixed scopes, AI agents operate dynamically, producing actions at runtime based on natural-language instructions and user prompts, making their potential actions unpredictable. This necessitates a shift from credential-based authorization to action-based authorization, ensuring that agents are only allowed to perform actions that align with user intents and trusted inputs. Additionally, AI agents require a complex identity model that accounts for multi-hop delegation and user provenance, as they often act on behalf of multiple entities. Auditing AI agents involves capturing detailed reasoning traces beyond simple log entries to understand their decision-making processes, and their lifecycle management requires issuing short-lived, session-bound credentials rather than static, long-lived ones. This new paradigm demands updated identity and access management (IAM) strategies, such as those provided by solutions like WorkOS, to ensure that AI agents are securely and effectively integrated into organizational systems.