Large Language Models in Cybersecurity - Threats, Exposure and Mitigation

Explore the intersection of artificial intelligence and cybersecurity in this 28-minute conference talk that examines how Large Language Models present both opportunities and risks in the security landscape. Discover the various threat vectors that LLMs introduce to cybersecurity infrastructure, including potential attack surfaces and vulnerabilities that organizations must consider. Learn about exposure scenarios where sensitive data and systems may be at risk when implementing LLM technologies in enterprise environments. Gain insights into practical mitigation strategies and best practices for securing LLM deployments while maintaining their operational benefits. Understand the evolving threat landscape as AI technologies become more prevalent in cybersecurity applications and develop a comprehensive framework for assessing and managing LLM-related security risks in your organization.