Avoiding vulnerabilities in AI code
0Dylan Ayrey (Truffle Security) on AI-Generated Code Risks
Dylan Ayrey, founder of Truffle Security, sits down with a16z partner Joel de la Garza to explore the growing security concerns around AI-generated code. As AI models take on more coding responsibilities, they introduce new risks—many of which stem from how these models were trained and aligned. Dylan highlights real-world examples of AI-generated vulnerabilities, explains why security teams should scrutinize AI-written code just as much as human-written code, and shares best practices for developers looking to balance efficiency with safety. He also discusses the challenges of detecting malicious AI-generated code and what the future holds for automated security defenses.
Learn more:
Research finds 12,000 ‘Live’ API Keys and Passwords in DeepSeek's Training Data
https://trufflesecurity.com/blog/research-finds-12-000-live-api-keys-and-passwords-in-deepseek-s-training-data
Follow everybody on social media:
Dylan Ayrey - https://x.com/insecurenature
Joel de la Garza - https://www.linkedin.com/in/3448827723723234/
Check out everything a16z is doing with artificial intelligence, including articles, projects, and more podcasts, here: https://a16z.com/ai/
02:05 - How do we protect our code in the age of gen AI?
03:08 - Are any of the embedded secrets actually live?
04:46 - What is alignment?
05:37 - The microsoft twitter bot
06:53 - Secure coding techniques (data curation)
07:39 - Reinforcement learning
08:13 - Temperature / weight adjustments
09:17 - Data scientists and security
09:47 - the pitfalls of reinforcement learning
10:17 - Constitutional AI
12:13 - Direct analog to the security world / how to make secure code
12:45 - Why we still need constitutional AI / code review
14:16 - Is alignment making code better? Or is it just training and refinement?
15:58 - Can AI solve the coding quality problem? Do humans get removed from the loop?
19:08 - How do companies protect themselves as they continue to innovate?
19:51 - Buddy System - AI / Human reviews