Open to opportunities · Italy, remote anywhere
Adrian Sebastian
Martin
Breaks AI agents, measures the damage, publishes the record.
Penetration testing and AI agent security. AI security researcher, penetration tester or red team; junior roles and internships welcome.
- 5 public projects
- 9 public records
- September 6, 2026last verified
Every claim on this site links to a public record.
What I bring
Three strengths, each with its public record.
AI agent security, proven in competition
51st of 4186 teams and a silver medal in the Kaggle competition on multi-step tool attacks, hosted by OpenAI.
AI agent security: multi-step tool attacksPublished benchmarks, no LLM judge
A defensive benchmark on agent scope discipline, published on Kaggle Benchmarks: 6 frontier models, 114 runs each.
Agentic scope discipline benchmarkSystems built and hardened end to end
A production site, HTTPS only, with security headers anyone can verify; this site with no script or tracker and every link rechecked at each build.
SigmaNex: site of the offline-first platform
51st of 4186 teams, silver medal.
Featured
AI agent security: multi-step tool attacks
Multi-step attacks on a tool-using agent for the OpenAI-hosted Kaggle competition, with a working note that verifies its own 843 numbers.
Work
Result first, record right under it.
bit-flip: weight corruption in language models
Silent de-alignment not observed: de-alignment fraction 0 at every dose, on both arms (E5).
Experiments on what happens to an AI model when tiny errors damage its memory: does it stop working, or does it keep working but stop being safe?
Aug 2026 – today
Agentic scope discipline benchmark
Published on Kaggle Benchmarks: deterministic oracle, no LLM judge, 6 models, 114 runs each.
A public test that checks whether an AI assistant stays within what it was allowed to do, even when a web page or a file tells it otherwise.
Jun 2026 – Jun 2026
LLM agent boundary evaluation
7 frontier models measured, 63 runs each; offensive-action rate from 0.000 to 0.143.
The findings of the boundary test: seven leading AI models measured the same way, with numbers and notes anyone can re-check.
Jun 2026 – Jun 2026
SigmaNex: site of the offline-first platform
Online at sigmanex.net, HTTPS only with HSTS, CSP and security headers anyone can verify.
The website of a product I built, a communication and AI system that works without internet, set up so that anyone can check its security.
May 2026 – today
About
I am a self-taught security researcher focused on penetration testing and on the security of AI agents: systems that call tools, act on networks and can be turned against their own rules.
I learn by building the target, attacking it and measuring the defence with evaluations that anyone can rerun. That method has produced public results: a silver medal, 51st of 4186 teams, in the Kaggle competition on multi-step tool attacks hosted by OpenAI; a defensive benchmark on agent scope discipline published on Kaggle Benchmarks and run on six frontier models; open research on weight corruption in language models, with code and data on Kaggle; and the site of SigmaNex, my own product, built and hardened end to end.
I am looking to join a team: open to remote roles anywhere as an AI security researcher, penetration tester or red teamer, including junior positions and internships.
Based in Italy
Skills
Each one links to a project that shows it.
LLM agent security
Attacks and defences for tool-using agents, measured on public competitions and benchmarks.
Evaluation design
Deterministic oracles, pre-registered experiments and negative results published as such.
Model robustness
Experimental research on weight corruption and alignment degradation.
Web engineering
Static sites and hardened servers: HTTPS, security headers, reproducible deploys.
Credentials
Each one links to its public verification page.
Google AI Essentials
Google, via Coursera · Jan 2026
Verify the credentialIntroduction to Cybersecurity
Cisco · Aug 2025
Verify the credential
Path so far
2026
Aug – today
Experimental research on bit-flips in language-model weights
Independent research
2026
Jun – Sep 2026
Featured Kaggle competition on AI agent security: silver medal
Competition hosted by OpenAI on Kaggle
2026
Jun – Jun 2026
Defensive benchmark on agent scope discipline, published on Kaggle Benchmarks
Independent research
2026
May – today
Founder and sole maintainer of SigmaNex, an offline-first intelligence and communication platform
SigmaNex, own project
2019
2019 – today
Baker, working across every stage of bread-making
Employment; study and research outside working hours
Open to remote roles anywhere: AI security research, penetration testing, red team, junior positions and internships. Every number on this site has a record behind it.
Write to me.
rootedlab@proton.me
Updated on