AI’s Achilles’ Heel: Navigating the OWASP Top 10 for LLMs

Channel:
United States SANS Institute
Subscribers:
64,000
Published on ● Video Link: https://www.youtube.com/watch?v=na3vC_1we8E


Duration: 0:00
244 views
11

Large Language Models (LLMs) present unique security challenges that require specialized strategies to mitigate risks effectively. This presentation delves into the OWASP Top 10 for LLM applications, providing a comprehensive analysis of the most critical vulnerabilities and offering actionable insights for defense. We will explore two high-profile case studies: Microsoft's Bing Chat's prompt injection attack and OpenAI's disruption of nation-state actors using AI. By examining these real-world incidents, participants will gain a deeper understanding of the threats facing LLMs and learn effective measures to protect against them. Additionally, we will evaluate advanced tools and techniques that enhance LLM security. The presentation aims to equip security professionals with the knowledge and tools needed to secure LLM deployments, ensuring their safe and reliable use in various applications.

SANS AI in Cybersecurity Summit 2024
AI’s Achilles’ Heel: Navigating the OWASP Top 10 for LLMs
Speaker: Kyriakos Lambros, CEO & Founder, RockCyber

View upcoming Summits: http://www.sans.org/u/DuS



Other Videos By SANS Institute


2024-10-24SANS Cloud Security Exchange 2024: Google Session
2024-10-16“Secure AI” is 20 Years Old
2024-10-14Supply Chain Attacks: Why Security Leaders Must Act Now
2024-10-14Navigating the Al Frontier: The Next Wild Innovation
2024-10-14From Compliance to Leadership: What Every CISO Needs to Know
2024-10-14Why Should You Attend SANS Cyber Defense Initiative 2024?
2024-10-09Lightning Talk: AI for SOC Teams - Enhancing Incident Response and Vulnerability Management
2024-10-09How GenAI is Changing Your SOC for the Better with Seth Misenar
2024-10-09From Clues to Containment - Unraveling A Gift Card Fraud Scheme with Mark Jeanmougin
2024-10-04Making Secure AI Real: Real Threats, Lessons Learned, and Future of the Secure AI Technology Stack
2024-10-04AI’s Achilles’ Heel: Navigating the OWASP Top 10 for LLMs
2024-10-04Lightning Talk: Markov Chains - potentially faster log analysis
2024-10-04Lightning Talk: Enhance Investigations Using LLM, Embeddings, and Clustering
2024-10-04Lightning Talk: Co-bots, Not Robots: Artificial Intelligence in Security Operations
2024-10-04“Secure AI” is 20 Years Old
2024-10-04Gen-AI for DFIR in the Real World: Practical Use Cases
2024-10-04The Frontier of Cybersecurity: Defending Against AI-Based Threats
2024-09-27SANS Threat Analysis Rundown with Katie Nickels | Sep. 2024 Edition
2024-09-23Into the Looking Glass, Medical Device Cybersecurity | Veronica Schmitt
2024-09-23Healthcare - Industrial Control Security for Pharmaceuticals | Dean Parsons
2024-09-23Welcome to the SANS Healthcare Forum 2024 | Rich Greene and Stacy D