AI security · Vulnerability research · Digital forensics

Drew Stelly, PhD

I study how systems fail, how to test them, and how to make the results useful.

Security researcher working across enterprise AI, agentic offensive AI orchestration, and reproducible forensic analysis.

01Upcoming book

In development

Orchestrating
the Attack

Agentic AI and the New Operating Model for Offensive Security

What happens to offensive security when the operator’s job becomes orchestrating teams of AI agents?

Orchestrating the Attack examines the changing role of human expertise, the economics of agentic security, and the challenge of producing evidence people can trust. Drawing on experience in red teaming, AI security, and digital forensics, Drew Stelly explores what this shift means for operators, defenders, security leaders, and AI researchers—and the judgment and accountability it demands.

Book inquiries

02Selected writing

Essays & research notes

More notes on adversarial machine learning and AI security.

Read the blog

03Publications

2015–2019

Languages and tools for making security analysis reproducible. Academic work published as Christopher D. Stelly.

  1. 2019

    A Domain Specific Language for Digital Forensics and Incident Response Analysis

    PhD dissertation · University of New Orleans

    A language and execution environment for specifying, recording, and reproducing forensic computations.

    Read
  2. 2019

    Language-based Integration of Digital Forensics & Incident Response

    Christopher Stelly & Vassil Roussev · ARES 2019 · ACM

    Connecting forensic tools and incident response through a shared language.

    DOI
  3. 2018

    Nugget: A Digital Forensics Language

    Christopher Stelly & Vassil Roussev · Digital Investigation

    Expressing digital forensic investigations as executable, auditable computations.

    Read
  4. 2017

    SCARF: A Container-Based Approach to Cloud-Scale Digital Forensic Processing

    Christopher Stelly & Vassil Roussev · Digital Investigation

    Using containers to scale digital forensic workloads across cloud infrastructure.

    Read
  5. 2016

    Red Crawling for Perimeter Intelligence

    Lockheed Martin Journal of Software Engineering · Internal publication

  6. 2015

    Dynamic Bytecode Instrumentation for Mobile Security

    Lockheed Martin Journal of Software Engineering · Internal publication

04Background

Research in practice

My work connects hands-on security testing with research that other people can use. A current focus is agentic offensive AI orchestration: how specialized agents coordinate, share context, and produce reliable evidence for security assessments.

I built the AI Red Team function at Thomson Reuters, following nearly a decade in security engineering and red teaming at Lockheed Martin.

2022–Present

Thomson Reuters

AI Security Researcher

AI security assessments, research, and methodology across language models, agentic systems, and the applications around them.

2012–2022

Lockheed Martin

Associate Fellow · Staff Red Team Operator

Security engineering and red teaming across enterprise and defense systems, with research in embedded systems and RF security. NOVA Award recipient.

05Selected talks

  • 2023

    Attacking AI — Stories and Secrets

    Thomson Reuters · Fall 2023

  • 2023

    AI and Trust

    Thomson Reuters · Spring 2023

  • 2021

    Red Teaming with Radios — Cyber RF/EW Testing

    Lockheed Martin Fellows Conference

  • 2020

    A Distributed C2 Framework — DVN

    Wild West Hackin’ Fest