Authentication Trends in 2026: Passkeys, AI Agents, and Edge - Part 2

In 2026, authentication systems are evolving to treat AI agents as first-class authentication principals, distinct from human users and traditional machine clients. This shift acknowledges the unique identity needs of AI agents, which use large language model reasoning to perform tasks on behalf of users or organizations, necessitating their own identity, scopes, and delegation chains. The industry is moving towards implementing OAuth 2.1 as a baseline for these deployments, emphasizing the importance of scoped, short-lived tokens to enhance security and auditability. Key industry players like Okta, Auth0, and Microsoft are developing specific identity primitives for AI agents, despite current enterprise governance being immature. Standards such as OAuth 2.1, PKCE, and token exchange are foundational to these systems, with a growing focus on ensuring that AI agents have their own identity while maintaining clear audit trails for compliance and security purposes. The article highlights the need for a modern authentication model that clearly distinguishes between human users, machine clients, and AI agents, with the continuous development of standards and practices to support this evolving landscape.

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