Cntlr+Alt+Secure: Building AI Governance That Doesn't Suck
AI is the new attack surface. From prompt injections that bypass safety filters to model poisoning that turns your "secure" chatbot into a data exfiltration tool, the threats are evolving faster than most governance frameworks can keep up. Hackers think differently, and so should your governance strategy.
This session flips the script on traditional AI security. Instead of boring compliance checklists, we're talking about adversarial thinking, red-teaming your models, and building governance that feels less like a bureaucratic nightmare and more like a defensive playbook. We'll cover real-world attack vectors, the hidden cost of "free" AI tiers, and how to implement data security that actually scales with your AI ambitions.
If you've ever wondered how to secure an AI system without turning it into a paperweight, this is the talk for you. Let's break it down before the bad guys do.
Jen has over 15 years experience in data and security across various roles. She has implemented data security programs from the ground up and has architected those programs for the future. Now as a consultant, she has the opportunity to guide the industry toward trusted AI adoption through strong governance and security practices.