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Can AI Tools Be Trusted with Security-Critical Code? Real World AI Security Risks with Liran Tal
Manage episode 445306927 series 3585084
A tartalmat a Tessl biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Tessl vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
Join Simon Maple as he hosts Liran Tal, a Developer Advocate at Snyk, in a fascinating exploration of AI's impact on security. Liran, with his extensive background in software development and application security, shares valuable insights into how AI influences security practices, both as a tool and a potential threat. The discussion covers a wide range of topics, from non-determinism in AI to the role of AI code assistants and the implications of LLM-generated responses. Liran offers practical advice for developers on integrating security into their workflows and balancing AI's capabilities with human oversight. This episode is a must-listen for developers interested in the evolving landscape of AI and security.
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