Compliance tells you if a control matches your documentation, and a standard pipeline test suite confirms precisely what you anticipated. But true security exposure lives in the inputs nobody planned for. This is the uncharted territory where leaks actually happen. Relying on checklist compliance means organizations often discover their true attack surface only after a breach.

This session challenges the status quo, making the case for shifting from theoretical compliance to empirical, continuous vulnerability discovery. Enter agentic fuzzing using an automated pipeline that flips the script on vulnerability research by turning rare, specialist-driven engagements into a standing enterprise capability. By combining continuous fuzzing with localized language models, this architecture autonomously discovers crashes, evaluates their real-world reachability, and drafts functional proof-of-concepts with minimal human intervention. Pointed at your applications, firmware, and dependencies, it allows security teams to prioritize remediation based on what is actually exploitable rather than what a generic compliance scanner flags.

We will walk through the end-to-end mechanics of pipeline architecture, and discuss ingesting code, monitoring open-source dependency trees in real time, and deploying local LLMs into live debugging sessions to reason through exploitability. Attendees will leave with a clear blueprint of how automated vulnerability research fills the massive gaps left by traditional compliance and the exact first steps a program office can take to operationalize it.