The coming AI security crisis (and what to do about it) | Sander Schulhoff

In this episode of Lenny's Podcast, host Lenny Rachitsky interviews Sander Schulhoff, an AI security researcher, about the significant security vulnerabilities in current AI systems. Schulhoff argues that AI guardrails are ineffective against prompt injection and jailbreaking attacks, emphasizing that the industry's reliance on these measures creates a false sense of security. He highlights the potential for malicious actors to exploit AI agents and robots, leading to severe consequences such as data breaches, financial losses, and even physical harm. Schulhoff advises companies to focus on classical cybersecurity measures, proper data permissioning, and educating their teams about AI security risks, while also suggesting the use of frameworks like Camel to limit the actions AI systems can take. He predicts a market correction in the AI security industry as the ineffectiveness of current solutions becomes more apparent, urging foundational model companies to invest in adaptive evaluations and explore new architectures to improve adversarial robustness.