In this episode, Steve Wilson (Co-Lead OWASP Top 10 for LLM Apps & Author) and Andreas Welsch discuss red-teaming and safeguards for LLM applications. Steve shares his insights how Generative AI vulnerabilities have evolved from embarrassing to financially risky and provides valuable advice for listeners looking to improve the security of their Generative AI applications.Key topics:- One year after OWASP Top 10 for LLM apps, how have LLM security and vulnerabilities evolved?- How do you build Generative AI safeguards into your app? What’s the impact on cost for checking and regenerating output?- How can you red-team your LLM apps?- Which roles or skillsets are best suited to improve security?Listen to this episode and learn how to:- Become aware of new ways bad actors can exploit your LLM-based apps and assistants (prompt injection, supply chain attack, data exfiltration, etc.)- Understand the characteristics of your LLM supply chain and new vulnerabilities- Consider the implications of using agents on your securityWatch this episode on YouTube:https://youtu.be/Rpp7u93mDfMQuestions or suggestions? Send me a Text Message. Support the show***********Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.comMore details: https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcastGet a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter

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“What did the council decide on item 42?” — answered with the speaker and the moment.

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