Understanding Agent Identity and Access Management in a Cloud Native World

AI agents are revolutionizing software, but their autonomous and probabilistic nature poses a significant challenge to traditional Identity and Access Management (IAM). While solutions like SPIFFE provides Non Human Identity (NHI) for workload identity and secure service-to-service communication, the way it’s been applied (ie, service mesh, etc) assumes  multiple instances share the same identity. This model breaks down with AI agents, which exhibit unique behaviors, develop distinct contexts, and make dynamic decisions even when running identical code.

This webinar will explore:

• The inherent limitations of relying solely on traditional SPIFFE-based identities for AI agents, leading to critical gaps in security, attribution, and control.
• How to augment and extend existing identity frameworks, building upon the foundational security provided by SPIFFE, to address the unique requirements of AI agents. This approach focuses on achieving granular, instance-level identity that captures each agent’s specific context, state, and capabilities.
• How to enable dynamic, context-aware authorization that adapts to an agent’s real-time needs, including its autonomous discovery of tools and evolving behaviors. This next-generation identity model provides enhanced attribution, adaptive security, and improved anomaly detection, allowing organizations to safely harness the power of autonomous systems while maintaining robust security and compliance in their cloud-native landscapes.

Join us to learn how to future-proof your identity model for the age of autonomous systems.