The average application today contains 581 open-source vulnerabilities a 107% increase in just one year. AI coding assistants recommend popular libraries without evaluating whether those libraries are secure. Meanwhile, attackers are using automation to discover and exploit vulnerabilities faster than humans can patch them. The mismatch between the speed of attack and the speed of defense is the defining challenge of modern application security.

This session explores how artificial intelligence is reshaping the vulnerability management lifecycle from detection through prioritization to automated remediation. We will examine how AI can distinguish critical, exploitable vulnerabilities from noise, how large language models can generate contextually aware fix suggestions, and what the real-world limitations and risks are (including hallucinated fixes and over-reliance on automation). Drawing on industry-wide trends and publicly available research, this talk provides a balanced, practitioner-focused view of where AI-powered AppSec is heading and what security teams should be doing now to prepare. No vendor pitches just an honest assessment of the opportunity, the limitations, and the path forward.

Format: Session Presentation (30 min) or Panel Discussion
Level: Intermediate