Benjamin Reitz
Red Teamer, OnDefend & Founder, Offensive Intelligence LLC,
About
Benjamin Reitz is a red teamer at OnDefend and the founder of Offensive Intelligence LLC, where he focuses on offensive security research, adversary emulation, and practical security tooling. His work spans red teaming, penetration testing, mobile and web application security, and the development of offensive security workflows that help organizations better understand and defend against real-world threats. Before moving deeper into offensive security, Benjamin built a strong foundation in teaching, technical communication, and cross-cultural collaboration. He has experience translating complex technical concepts into clear, actionable lessons for diverse audiences, a skill that continues to shape his approach to security research, client engagement, and conference speaking. Fluent in Mandarin Chinese, Benjamin brings a global perspective to cybersecurity and is especially interested in the intersection of language, culture, and adversary behavior. Through his work at OnDefend and Offensive Intelligence LLC, Benjamin is committed to making advanced offensive security concepts more understandable, practical, and useful for defenders, researchers, and security teams.
Sessions
Building Custom RedOps Toolkit (CROT): From Gamified Red Team Dashboards to LLM-Powered Offensive Security Automation
What you will learn:
1. AI is reshaping offensive security. Cybersecurity is entering a major paradigm shift as large language models become capable of assisting with reconnaissance, exploitation, workflow automation, and CTF problem solving. 2. Gamification can make security work more engaging. CROT uses retro-inspired dashboards, progress tracking, and visual feedback to make complex offensive security workflows more enjoyable, motivating, and easier to follow. 3. CROT standardizes and evaluates offensive workflows. At its core, CROT is a CTF toolkit orchestrator. It helps standardize repeatable solution paths, compare how different LLMs perform on offensive security tasks, and identify the strengths and weaknesses of each model through objective scoring.