activity
20242026
most citedA Preliminary Study on Using Large Language Models in Software Pentesting

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CR2026

Toss If Perishable: An Ethnographic Study on Building Scenario-Based Training for Non-Perishable Skills

Francis Hahn, Spencer Cherry, Kumar Shashwat +3

Security Operations Centers (SOCs) often rely upon on-the-job training focusing on the specific tools and procedures a SOC utilizes. The complexity in tooling can overshadow the un…

cs.CR2026

It is Not Yet Another Tool: Creating and Deploying an Agentic AI Companion in a Security Operations Center

Kritan Banstola, Faayed Al Faisal, Duy Dao +3

Security Operations Centers (SOCs) process large amounts of tickets, most of which are low-interest events not worthy of further investigation. The repetitive nature of this task a…

cs.CR2026

A Sociotechnical, Practitioner-Centered Approach to Technology Adoption in Cybersecurity Operations: An LLM Case

Francis Hahn, Mohd Mamoon, Alexandru G. Bardas +4

Technology for security operations centers (SOCs) has a storied history of slow adoption due to concerns about trust and reliability. These concerns are amplified with artificial i…

cs.CR2025

Towards AI-Driven Human-Machine Co-Teaming for Adaptive and Agile Cyber Security Operation Centers

Massimiliano Albanese, Xinming Ou, Kevin Lybarger +2

Security Operations Centers (SOCs) face growing challenges in managing cybersecurity threats due to an overwhelming volume of alerts, a shortage of skilled analysts, and poorly int…

cs.CR2024★ 1 cited

A Preliminary Study on Using Large Language Models in Software Pentesting

Kumar Shashwat, Francis Hahn, Xinming Ou +5

Large language models (LLM) are perceived to offer promising potentials for automating security tasks, such as those found in security operation centers (SOCs). As a first step tow…