AI SECURITY / ADVERSARIAL RESEARCH
Research &
speaking.
Security engineer and adversarial researcher working across AI security, offensive security, and embodied systems. I study what systems can do, how they fail, and what an adversary sees that a conventional evaluation can miss.
Research & open source
Benchmarks, experiments, and tools for understanding the gap between capability and dependable behavior.
Paper / evaluation methods
Go-Explore for AI red-team testing
An empirical study of exploration-based testing for tool-using LLM agents, examining seed variance, reward design, and attack diversity.
Co-author with Manish Bhatt, Idan Habler, and Ammar Al-Kahfah. Large Empirical Case Study: Go-Explore adapted for AI Red Team Testing. Revised January 2026.
Writing / embodied AI
The Embodied Lethal Trifecta
How untrusted perception, physical action authority, and mutable safety controls can combine in embodied AI systems.
Research on the boundary between model behavior, platform security, and physical safety.
Open-source contribution
Dropbox LLM Security
Public research code and results on repeated-token prompt injection, model divergence, and training-data leakage.
Contributor to the Dropbox research project.
Open-source research
The Offensive ML Playbook
A practical collection of offensive machine-learning techniques and supply-chain attack paths for security researchers.
Introduced in the Offsec ML Playbook v0.1 write-up.
Talks & teaching
Conference research, hands-on workshops, and course development. Recordings and materials are linked where available.
Black Hat USA / briefing
Kinetic Prompt Injection: Agent Compromise With a Physical Blast Radius
A BT6 presentation on prompt injection and agent compromise when AI systems can affect the physical world.
With Pliny the Liberator, Philip Dursey, Ads Dawson, Dustin Farley, and Sean Hopkins.
[un]prompted II / talk
Every Dog Has Its 0-Day
Security and safety failures across robotic platforms, and the trust boundaries between perception, reasoning, and actuation.
Solo presentation.
[un]prompted II / talk
StealthBench: Can Autonomous Security Agents Do OPSEC Like an Experienced Operator?
Why evaluating an autonomous security agent requires looking at the tradecraft behind the result.
With Ads Dawson.
SANS AI/SI Cybersecurity Summit / workshop
Autonomous Penetration Testing: Build, Validate, and Supervise
A hands-on workshop on building an agent harness and applying it to an isolated attack range while maintaining scope and supervision.
With Pedram Amini. Fall 2026 summit.
SANS SEC590 / course development
Autonomous Penetration Testing: Build, Validate, and Supervise
Developing instruction and practical agent workflows for AI-driven penetration testing.
Course co-author with Pedram Amini. In development as of November 2026.
UNC Charlotte Cybersecurity Symposium / talk & panels
Hackbots!
Speaking on autonomous hacking, alongside panels on the AI software development lifecycle and autonomous security.
UNC Charlotte Cybersecurity Symposium, 2026.
DEF CON 30 / workshop
Creating and Uncovering Malicious Containers
Hands-on container and Kubernetes security, including investigating malicious behavior and identifying indicators of compromise.
With David Mitchell and Griffin Francis.
Other venues include CAMLIS, InCyber Forum, BSides, CarolinaCon, CackalackyCon, universities, and podcasts.
Selected disclosures
Vulnerability research across infrastructure and platform security. Follow the records and vendor bulletins for affected versions and remediation.
Ubiquiti UniFi
CVE-2026-77549
CRLF authentication bypass.
Co-discovered with Griffin Francis.
Ubiquiti UniFi
CVE-2026-77541
Privilege escalation.
Co-discovered with Griffin Francis.
Ubiquiti UniFi
CVE-2026-54403
Path traversal and authentication bypass.
Co-discovered with Griffin Francis.
NVIDIA Linux GPU driver
CVE-2026-47552
Kernel-mode authorization bypass enabling local privilege escalation.
Patent & community
Research also means reviewing, teaching, and helping other people’s work find an audience.
Granted patent / co-inventor
Behavioral Analysis for Identification of Malicious Code
US 12,265,627 B1. Named co-inventor with Douglas Brookes Tucker and Michael Barone.
Granted April 2025.
Program committees & research review
Supporting the research community
Program committee for [un]prompted I and II. Research reviewer for ACL LLMSEC and the CAIS Conference.
Contributions also include MITRE ATLAS and Dropbox open source.
Conference organization
CackalackyCon CFP board
Helping select and support technical work for the conference programme.
CFP board service, 2022-2026.
FROM THE NOTEBOOK
The longer version
lives in the writing.
Research notes, experiments, and technical write-ups from the archive.
Browse the blogA LITTLE CONTEXT
I’m Adrian, also known as threlfall. My work spans offensive security, application security, exploit research, and AI systems. I built Dropbox’s AI security programme and worked on enterprise adversary emulation, following earlier security engineering roles at Wells Fargo and founding WHITEHACK.
Today, Move78 is where I bring that research attitude to cyber capability evaluations and embodied reasoning.