How will AI Agents Manage Identity & Build Trust in Complex Systems

The video explores the challenges of securely managing identity and trust in complex agentic AI systems, highlighting risks like impersonation and the difficulties of propagating identity across multiple agents and organizational boundaries. It proposes solutions such as adhering to standards like OAuth 2.0 and OIDC, implementing token exchanges at each node, using API gateways for centralized control, and continuous monitoring to ensure secure and trustworthy identity flows.

The video discusses the emerging challenges organizations face as they adopt generative AI, retrieval-augmented generation (RAG) models, and agentic systems, particularly focusing on how to securely propagate identity across complex agentic flows. It begins by reviewing traditional identity propagation patterns, starting with no delegation, where an application connects to a system without passing user identity, followed by trusted assertion, where the system asserts the user’s identity to downstream systems, and simple delegation, where a token representing the user’s privileges is passed along. These foundational concepts set the stage for understanding the complexities introduced by agentic systems.

As agentic flows involve multiple agents and nodes, the video highlights the increased risk of identity impersonation and unauthorized access. For example, a malicious actor could insert themselves into the flow and impersonate a legitimate user, gaining access to sensitive data or privileges. This raises the critical challenge of how to trust the identity being propagated through the system, especially when agents have no direct visibility into the original authentication event. The video introduces the concept of “on behalf of” delegation, where agents act with their own identities but operate on behalf of users, complicating trust relationships further.

Another complexity arises when agentic flows span multiple organizations or divisions, each with its own identity provider (IDP). This scenario requires managing multiple independent IDPs and ensuring secure identity propagation across organizational boundaries. The video emphasizes that these challenges necessitate robust strategies to maintain secure and trustworthy identity flows in increasingly dynamic and distributed agentic systems.

To address these challenges, the video proposes several strategies. First, it advocates for adherence to industry standards such as OAuth 2.0 and OpenID Connect (OIDC) to establish a common framework for identity and privilege management. Second, it recommends implementing token exchange at each node in the agentic flow, where tokens are validated and exchanged with the IDP to prevent impersonation and ensure the token’s scope and audience are appropriate for each step. This approach helps verify identities and establish trust dynamically throughout the flow.

Finally, the video suggests leveraging API gateways to manage token exchanges centrally, reducing developer burden and enhancing security by controlling identity propagation at the network edge. It also stresses the importance of continuous monitoring to detect anomalies and ensure compliance. Overall, the video provides a comprehensive overview of the identity and trust challenges in agentic AI systems and outlines practical strategies to securely manage identity propagation in complex, multi-agent environments.