AI is reshaping every layer of the platform stack, and security is struggling to keep up. The attack surface is expanding faster than most teams can track: AI-generated code entering pipelines without adequate verification, new workload patterns that evade traditional observability, and infrastructure decisions being made under pressure without a clear security framework to guide them.

Platform teams are caught in the middle. They're expected to enable AI-driven development at speed while maintaining the governance, compliance, and resilience standards the business depends on.

Platform engineering teams are increasingly the highest-value target in the enterprise - they own the pipelines, the secrets, the infrastructure abstractions, and increasingly the AI tooling that every developer depends on. Yet security is often an afterthought in platform design, bolted on after the fact or delegated to a security team that doesn’t speak the same language.

This panel brings together practitioners from enterprise IT, large-scale engineering, and security leadership to have an unfiltered conversation about what it actually takes to build and operate a secure platform. From securing the software supply chain and managing the explosion of non-human identities, to creating security cultures that don’t slow developers down - the panel will cover where organizations are most exposed today, what’s changed with AI in the mix, and what platform teams can do Monday morning to reduce real risk.