Session 2

AI is rapidly changing the vulnerability management landscape. As increasingly cyber-capable models add to backlogs by accelerating vulnerability discovery while also making complex attacks easy for any actor to orchestrate, security teams face a growing challenge: how do you determine what risks matter—and remediate them at AI-scale?

This discussion from PBC Connect at Black Hat USA 2026 explores how vulnerability management must evolve for an AI-driven world. Panelists examine why traditional severity-based prioritization is no longer sufficient, how business context and exploitability can help teams focus on meaningful risk, and how AI is changing remediation workflows and collaboration between security and development teams.

The conversation also dives into emerging challenges such as vulnerability chaining, AI-generated code, vibe coding, developer enablement, continuous threat exposure management, and the need for AI-native security processes.