We’ve reached the tipping point where AI models are not just tools, they’re targets. Yet, too many organizations are trying to protect AI systems with yesterday’s threat models. In this session, Rakia Finley draws on her experience designing AI-infused platforms for critical industries to reframe how we secure next-gen systems: with self-defending architecture that evolves with every prompt, query, and edge case. Attendees will explore common LLM attack vectors, breakdowns in enterprise model pipelines, and where fine-tuning meets fine-failure. You’ll leave with practical strategies for governing AI behavior, protecting datasets, and ensuring that models act in the interest of your users, not your attackers.