Webinar Description
Key Takeaways
- Addresses the operational challenges of discovering, registering, and governing autonomous AI agents in Kubernetes production environments.
- Covers agent identity management, cryptographic security, and zero-trust principles for non-human actors.
- Designed for security architects, DevSecOps professionals, platform engineers, and AI/ML teams deploying workloads in Kubernetes.
- Presents a vendor-neutral, architecture-first framework based on real-world enterprise deployments.
- Available as both a live virtual broadcast and an in-person workshop, led by Tigera’s CTO.
About the Event
This workshop from Tigera examines the full lifecycle of AI agent management in Kubernetes: discovery as application teams introduce agents, registration with secure identities, and governance through policy enforcement. The session draws on real-world enterprise deployment experiences to provide attendees with practical approaches to managing AI agents securely.
Why Agent Governance Differs from Traditional Workload Security
Autonomous AI agents present security challenges that extend beyond conventional Kubernetes workload protection. These agents interact with tools, invoke other agents, and access external model providers, creating complex trust relationships that require new approaches to identity and policy. The workshop explores how governance control planes can provide real-time management capabilities and how zero-trust principles apply specifically to non-human actors operating within container orchestration environments.
Key Topics
- AI agent discovery and visibility in Kubernetes clusters
- Cryptographic identity assignment for autonomous agents
- Governance control planes for real-time policy enforcement
- Security policy expression at the agent, tool, and data level
- Preventing agent sprawl in dynamic environments
Who Should Attend
The workshop targets security architects, DevSecOps professionals, platform engineers, and Kubernetes administrators responsible for securing container environments. AI/ML engineers and architects deploying production workloads will benefit from the governance frameworks presented. CISOs, CTOs, and technology leaders at organizations running or planning to run AI agents in Kubernetes (particularly in regulated or security-conscious industries) will find the executive-level insights relevant to their compliance and risk management requirements.