CompetitionIn person

AI for Kubernetes: Runtime, Data, and Scale | BLR (By AccuKnox & NetApp)

AUG27
10:00 · Asia / Kolkata
  • This event focuses on the intersection of AI and Kubernetes, addressing security, runtime, data, and scaling challenges for AI workloads within Kubernetes environments.
  • Attendees can participate in technical talks, workshops, demos, and a security-themed competition.
  • It is designed for cloud-native practitioners interested in securing and advancing AI infrastructure on Kubernetes.

About this event

Kubernetes is becoming the foundation for AI infrastructure, introducing new security and operational challenges. Join us for a day of technical talks, hands-on workshops, live demos, and interactive challenges focused on securing AI workloads, advancing open-source security, and exploring the future of cloud-native platforms.

Event Highlights

Opening Keynote – Why Kubernetes became the default substrate for AI workloads, and what that shift means for security.
KubeArmor and AgentZ: Open Source and CNCF – Project updates, contributor opportunities, and CNCF LFX mentorships.
Securing and Scaling AI Usage in Kubernetes – Shadow AI discovery, AI-SPM posture checks, and least-privilege enforcement for AI agents.
Evolution of Kubernetes for AI – GPU scheduling, dynamic resource allocation, data locality, and multi-tenant AI platforms.
eBPF in Practice – Kernel-level visibility, runtime policy enforcement, and production performance insights.
Hands-On Workshop: Secured Agentic Workflows with AgentZ (Bring your laptop) – Build secure AI agent workflows, protect secrets, and stop prompt injection attacks with runtime policies.
Lunch and Networking
Browser-Based AI Security CTF – Solve prompt injection, agent hijacking, and hidden API challenges with no local setup required.
Panel Discussion, Rapid Fire Quiz, and Community Networking – Connect with speakers, CNCF contributors, and fellow cloud-native practitioners.

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