Connor Glosner, Purdue University
Agentic AI has reduced the time between "I found a vulnerability" and "I have a working proof-of-concept", but that speed is only an asset if it comes with discipline. This talk walks through how LLM-driven agents can be wired into an exploit generation workflow: automating the tedious parts of testing, such as synthesis, payload iteration, and PoC scaffolding against scoped targets, while keeping a human firmly in the loop on the decisions that matter. Using the Linux kernel as a case study, the talk illustrates how this approach can turn crashes found by fuzzers into working proof-of-concepts.
Connor Glosner is a PhD candidate in Electrical and Computer Engineering at Purdue University, where he works in both the Purdue Systems Security (PurS3) lab and the PurSecLab. His research focuses on the security of the boot process, primarily UEFI firmware and bootloaders, and extends up the stack into operating-system and Android kernel analysis. Connor's main interests include low-level hardware–software interactions and vulnerability-discovery tooling.
