Avoiding vulnerabilities in AI code
Dylan 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 …
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Chapters (15)
2:05
How do we protect our code in the age of gen AI?
3:08
Are any of the embedded secrets actually live?
4:46
What is alignment?
5:37
The microsoft twitter bot
6:53
Secure coding techniques (data curation)
7:39
Reinforcement learning
8:13
Temperature / weight adjustments
9:17
Data scientists and security
9:47
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 innov
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