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Explore cybersecurity vulnerabilities in AI agent systems through this 15-minute conference talk that examines the current landscape of security threats in machine learning operations. Learn about the increasing attack surface created by hastily developed AI solutions and discover how large language models and AI agents are being weaponized by malicious actors. Examine specific vulnerabilities that agent systems have introduced into production environments and understand how these security gaps are already being actively exploited in real-world scenarios. Gain insights from Matt Sharp, author of "LLMs in Production" and experienced leader in AI and MLOps, as he demonstrates why the current era presents unprecedented opportunities for both legitimate security researchers and malicious hackers. Understand the intersection of generative AI capabilities with traditional cybersecurity concerns, and discover the emerging threat vectors that organizations deploying AI agents must consider when securing their production systems.
Syllabus
Time to become a hacker // Matt Sharp
Taught by
MLOps.community