Building personal platform agents: AI-driven governance for Kubernetes platforms

Platform teams are expected to deliver self-service infrastructure while maintaining strict governance across increasingly complex environments. Traditional approaches rely on manually authored policies, static rules, and reactive alerts, creating friction between developer velocity and platform control.

This session demonstrates how AI-powered platform agents can transform governance workflows by translating natural language intent into validated policy as code and continuously enforcing those policies across Kubernetes clusters.

It shows how platform engineers can build personal platform agents that assist with policy creation, explain violations in real time, and generate remediation recommendations that integrate directly into platform workflows.

Rather than replacing platform engineers, these agents augment them, helping platform teams maintain secure and compliant infrastructure while reducing the cognitive load of managing policy, configuration drift, and multi-cluster governance.

Attendees will leave with practical insights into how AI can be embedded directly into internal platforms to create smarter, more autonomous platform engineering systems.