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Platform teams will move from reactive to proactive governance with AI
Webinars
Cloud Edition
Watch the On-Demand Webinar
Policy as Code + AI: A Platform Engineer’s Best Friend
Panelists
Troy Topnik
Director, Product Management
SUSE
Dolis Sharma
Solutions Architect
Nirmata
Moderator
Brian Lee
VP Marketing
Nirmata
Policy as Code has become the backbone of automated, consistent, and scalable platform infrastructure governance. But for many platform engineers, it has also introduced a new wave of operational overhead. Every day brings more policy updates, remediation requests, YAML or CEL fixes, and cross-team escalations, pulling platform engineers away from the work that actually drives unified governance velocity.
Open source tools like Kyverno have helped, but the volume, complexity, and speed of today’s multi-environments mean teams need more than manual effort and static rules. This is where AI becomes a force multiplier.
In this forward-looking session, we explore how AI is transforming the entire policy lifecycle. From translating natural-language requirements into validated Kyverno policies, to spotting drift the moment it happens, to recommending and executing remediation based on real application context and business impact. But is this level of AI automation desired by platform engineers and how can we ensure its being done safely and with human-in-the-loop monitoring? We plan to address just that and more.
Attendees will learn how
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Why scale, multi-cluster environments, and speed force teams to rethink manual workflows
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AI accelerates Kyverno, but requires guardrails
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Why human-in-the-loop validation is essential
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AI can understand what it’s generating and how to test it
Kick off the year with a deep dive into the future of automated cloud governance, and discover why Policy as Code + AI is becoming every platform engineer’s dream for building secure, scalable, self-healing infrastructure governance platforms.