Understanding Agent Identity and Access Management in a Cloud Native World
AI agents are introducing powerful new capabilities into cloud-native systems, but they also bring a fresh set of identity and security challenges. Unlike traditional workloads, AI agents act autonomously, make probabilistic decisions, and can develop unique contexts even when built from the same code. This makes it harder to apply existing identity and access management approaches designed for predictable, static workloads.In this webinar, we’ll explore how these new patterns challenge our current thinking about non-human identity in the cloud. We’ll look at ways to build on existing frameworks, such as SPIFFE-based workload identity, while extending them to support the dynamic, instance-level identity that AI agents demand.Topics will include:
- Why AI agents require more granular, context-aware identities than conventional workloads
- How to capture an agent’s specific context, state, and capabilities in its identity
- Techniques for enabling adaptive, real-time authorization aligned with an agent’s evolving behavior and tool usage
- How enhanced attribution and anomaly detection can strengthen security and compliance while enabling innovation
By the end of this session, you’ll have a practical understanding of how to evolve your identity architecture to safely unlock the potential of AI agents in modern cloud environments.
Join us to learn how to future-proof your identity model for the age of autonomous systems.
