In this episode of Secure Disclosure, host Matt sits down with Paul Van, CEO and founder of Validia, to explore the frontier of AI security. Instead of focusing on how bad actors use AI tools, they dive deep into how to protect the AI models themselves from the inside out. From the unsolvable nature of prompt injections and the rise of distillation attacks to the reality of a "machine vs. machine" security landscape, Paul breaks down why traditional firewalls fail and how a model's behavioral "trauma response" might just be the key to defending LLMs. 🛡️ Support Our Sponsor: Stay Secure with Aikido security at https://aikido.dev Chapters 00:00:00 Introduction & Protecting AI Models 00:01:15 AI Models as a New Interface Vulnerability 00:02:51 Distillation Attacks & IP Theft 00:03:45 AI Bias as a Security Flaw 00:04:35 Is Prompt Injection Solvable? 00:07:15 Sponsor: Aikido Security 00:07:43 The Danger of Removing Model Safeguards 00:12:02 A Machine vs. Machine Security World 00:16:51 Is AI a Net Positive for Cybersecurity? 00:20:18 Validia's Shift to Frontier Attack Defense 00:21:59 Analyzing the Model's Trauma Response 00:24:58 Cybersecurity "Would You Rather" Game