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In this episode, Philippe Trounev interviews Rome Thorstenson, a software engineer and AI researcher, discussing the intersection of AI and cybersecurity. They explore the current state of code security, the role of AI agents in identifying vulnerabilities, and the challenges of trusting these systems. Rome shares insights from his research at NeurIPS and emphasizes the importance of proactive security measures for developers. takeaways 80% of the code shipped to production is not secure. AI agents are increasingly used to analyze code for vulnerabilities. Security often takes a backseat to feature development. Evaluating the security of a code base is a complex task. Prompt injection poses significant risks for AI systems. Developers need to prioritize security in their workflows. Rafter offers tools to simplify security scanning for developers. Research in mechanistic interpretability can enhance AI security agents. The landscape of cybersecurity is evolving with AI advancements. Proactive security measures are essential to combat emerging threats. titles AI's Role in Cybersecurity: A Deep Dive Understanding Code Vulnerabilities with AI Agents Sound Bites "AI writes most of the code." "80% of the code is not secure." "Prompt injection is a huge problem." Chapters 00:00 Introduction to AI Agents in Cybersecurity 02:41 The State of Code Security and Vulnerabilities 05:10 Building AI Agents for Code Analysis 07:52 Evaluating AI Agents and Benchmarking 10:27 Autonomous Feedback Loops in Cybersecurity 13:07 Trusting AI Agents for Security Fixes 15:47 Understanding Vulnerabilities and AI's Role 18:42 Real-World Examples of Vulnerability Detection 23:25 Navigating App Development Challenges 24:32 Getting Started with Rafter 28:03 Understanding Mechanistic Interoperability 35:06 Interpreting Model Features and Security 37:49 Top Security Practices for Developers https://www.docsie.io Join us on Discord / discord