Companies are increasingly developing agents that can perform actions beyond traditional AI applications, such as fetching files, sending messages, and updating records, which necessitates a careful approach to security through authentication and authorization. While existing frameworks like OAuth 2.0 are used to authenticate and authorize access for these agents, agents present unique challenges due to their dynamic access needs, the large number of services they interact with, and their complex auditing requirements. This has led to the proposal of a centralized framework to manage agent authentication and authorization, drawing inspiration from concepts like Role-Based Access Control and Just in Time access to accommodate the fluid and context-dependent access needs of agents. The OAuth 2.0 framework remains a foundation for securing agents, with specific flows like Auth Code Flow, OBO Token Flow, and Client Credentials Flow being essential for managing delegated and direct access. As agents become more autonomous and capable, there is a growing need for new tools to centralize control and standardize access, ensuring both security and flexibility in their operation.