Attacking and Defending Large Language Models in Production Environments

Explore the security challenges and defensive strategies for Large Language Models (LLMs) in production environments through this 42-minute conference talk from x33fcon. Gain critical insights into potential risks, vulnerabilities, and best practices for securing LLM implementations, backed by research from leading AI laboratories and scientists. Delve into crucial aspects including data privacy concerns, attack vectors, and ethical considerations while learning practical, research-backed strategies for safe LLM deployment. Master the essential knowledge needed to protect LLM systems against cyber threats, making this presentation valuable for developers, cybersecurity professionals, and business leaders implementing AI technologies in production environments.