ABED

2026 · 2026 Competition

School: School of Computer and Information Sciences
Category: Computer Security and TechnologyPrimary

Project Overview

One Liner: How AI can work alongside human cybersecurity analysts to strengthen real world assessment workflows and improve red team effectiveness

Abstract

The project provides value by demonstrating how the use of AI can enhance, not replace, human cybersecurity analysts in realistic assessment workflows. By focusing on real use cases and assessments in the cybersecurity industry, we intend to find where the overlap between humans and AI can provide the most value and model our tests with the intent of assisting red teamers as much as possible, not replacing them.

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Team Members

Dan Campanella
Dan Campanella
Lead
Hansen Smith
Hansen Smith
Yehya Haj
Yehya Haj
Matt Bowen
Ebube Wobo
Ebube Wobo

Advisors

David Comroe