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A field journal for offensive AI.

A field journal for offensive AI.

A field journal for offensive AI.

Research notes, benchmarks, model analysis, and field lessons from the team building autonomous offensive systems.

Research notes, benchmarks, model analysis, and field lessons from the team building autonomous offensive systems.

METHODS & EVIDENCE

Benchmarks, model analysis, and lessons from autonomous offensive security.

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RESEARCH / METHODS & EVIDENCE

Research is only
the beginning.

Research notes, benchmarks, and field lessons for autonomous offensive security.

Explore model analysis, adversarial methods, and the practical lessons behind autonomous offensive systems.

Read benchmark results with their methodology and limitations, then connect the evidence to the questions in your own environment.

Browse research

01

RESEARCH / METHODS & EVIDENCE

Research is only
the beginning.

Research notes, benchmarks, and field lessons for autonomous offensive security.

Explore model analysis, adversarial methods, and the practical lessons behind autonomous offensive systems.

Read benchmark results with their methodology and limitations, then connect the evidence to the questions in your own environment.

Browse research

01

RESEARCH / METHODS & EVIDENCE

Research is only
the beginning.

Research notes, benchmarks, and field lessons for autonomous offensive security.

Explore model analysis, adversarial methods, and the practical lessons behind autonomous offensive systems.

Read benchmark results with their methodology and limitations, then connect the evidence to the questions in your own environment.

Browse research

01

Research from the field.

Research from the field.

Research from the field.

LATEST RESEARCH

AI

Javelin: Self-Play and Adversarial Co-Evolution in Multi-Agent Offensive Security Systems

Javelin: Self-Play and Adversarial Co-Evolution in Multi-Agent Offensive Security Systems

Javelin: Self-Play and Adversarial Co-Evolution in Multi-Agent Offensive Security Systems

Exploring self-play and adversarial co-evolution in multi-agent offensive security systems.

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