Secure Your LLM Against Common Vulnerabilities (Guest: Steve Wilson)

In this episode, Steve Wilson (Project Leader, OWASP Foundation) and Andreas Welsch discuss securing your Large Language Model against common vulnerabilities. Steve shares his findings from co-authoring the OWASP Top 10 on LLMs report and provides valuable advice for listeners looking to improve the security of their Generative AI enabled applications.Key topics:- What are the most important vulnerabilities of LLMs? - What are developers underestimating about these security risks?- How will these vulnerabilities be exploited?- How can AI leaders and developers mitigate or prevent it?Listen to the full episode and hear how you can: - Balance innovation and security risks of new technologies like generative AI - Understand the difference between direct and indirect prompt injections - Prevent over-assigning agency to LLMs- Establish trust boundaries and treat LLM-generated output as untrustedWatch this episode on YouTube:https://youtu.be/TpIowNnAcj4Questions 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.com) and shape the next generation of AI-ready teams with The HUMAN Agentic AI Edge (https://www.humanagenticaiedge.com).More 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