Larry Letow

What you will learn:

“Expect sharper edges” means we’re done pretending AI risk is neatly contained. • A clearer view of where AI is introducing unseen enterprise risk—and how leaders are surfacing it before it becomes material • How different industries are making tradeoffs between speed, innovation, and control—and what those decisions actually cost • Practical approaches to governance that go beyond policy decks and stand up in production environments • Lessons from the field on where security programs are quietly failing—and how they’re being rebuilt in real time If you’re looking for polished answers, this isn’t it. If you want to understand how CISOs are actually navigating AI risk when the stakes are real this is where the conversation starts.

What you will learn:

The security playbook was built for a world of applications, infrastructure, identities, and human users. AI is changing the rules. As AI moves from experiment to infrastructure, product, and workforce, security leaders are being forced to rethink how they manage risk, enable the business, and build security programs that can keep pace. The challenge is no longer simply securing AI. It is figuring out how security itself needs to change. Larry Letow, CEO of TachTech, brings together three security leaders operating at very different points on that frontier: an AI-native company moving at extraordinary speed, a developer platform where security has to scale with the product, and one of the world's largest platforms navigating security, safety, identity, and emerging AI technologies at massive scale. What assumptions are no longer holding up? Where does more control actually create more risk? What should be automated, delegated, or eliminated? And when AI can build, act, and make decisions, how does security evolve from a gatekeeper to an enabler? This is a candid conversation about the rules worth keeping, the rules worth rewriting, and what it takes to build and secure an AI-enabled business without slowing it down.