Akul Goyal (Provenance Security, Inc.), Adam Bates (Provenance Security, Inc.)

Provenance-based security applications are showing tremendous promise in the academic literature, but successfully transition these technologies to practice will require community stakeholders to demonstrate the business potential of provenance analysis. Customer Discovery is a structured process through which early-stage start-ups can validate the commercial potential of an idea through direct interaction with potential customers. As a provenance-based security start-up, we conducted hundreds of customer discovery interviews, and believe that many of our findings would be of interest to the broader academic community. In this position paper, we summarize our findings and consider how they could inform future research on provenance analysis.

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Robust Fraud Transaction Detection: A Two-Player Game Approach

Qi Tan (College of Computer Science and Software Engineering, Shenzhen University), Yi Zhao (School of Cyberspace Science and Technology, Beijing Institute of Technology), Laizhong Cui (College of Computer Science and Software Engineering, Shenzhen University), Qi Li (Institute for Network Science and Cyberspace, Tsinghua University), Ming Zhu (Department of Computer Science and Technology, Tsinghua University), Xing…

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Before the Vicious Cycle Starts: Preventing Burnout Across SOC...

Kashyap Thimmaraju (Technische Universitat Berlin), Duc Anh Hoang (Technische Universitat Berlin), Souradip Nath (Arizona State University), Jaron Mink (Arizona State University), Gail-Joon Ahn (Arizona State University)

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Proactive Hardening of LLM Defenses with HASTE

Henry Chen (Palo Alto Networks), Victor Aranda (Palo Alto Networks), Samarth Keshari (Palo Alto Networks), Ryan Heartfield (Palo Alto Networks), Nicole Nichols (Palo Alto Networks)

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