Accelerating Innovation through LLM-enabled Prototypes
LLMs have become a strong force multiplier, enabling researchers to bring complex ideas to fruition that previously would have been deemed infeasible. This talk will introduce some areas of focus in security research where LLMs are assisting greatly including fuzzing, triage, and security analysis. It will also provide a case study where industry researchers identified a long-standing issue in kernel code which then motivated the use of an LLM to enable a CPU-based kernel shadow stack security mitigation that required deep kernel modifications. Overall, the talk will share examples of how LLMs are enabling new research to be performed in ways that were previously considered intractable.
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- Santa Clara University
- 500 El Camino Real
- Santa Clara, California
- United States 95053
- Building: Benson Memorial Center 101BC (Parlors BC)
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- Co-sponsored by Santa Clara University
- Starts 08 November 2026 08:00 AM UTC
- Ends 19 November 2026 11:00 PM UTC
- No Admission Charge
Brian Delgado is a principal engineer and offensive security researcher in Intel’s INT31 security research team focusing on fuzzing, accelerator security, exploration of new AI-driven prototypes, and UEFI firmware security. Brian has broad experience at Intel spanning firmware security, performance measurement, and server reliability. Brian completed his PhD at Portland State University in 2020 in the area of firmware-based rootkit detection for operating systems and hypervisors.