AI Research

Security research
driven by intelligence

We built a proprietary AI platform that powers our authorized vulnerability research. Custom models, GPU-native infrastructure, and datasets that exist nowhere else.

Our focus

AI is at the core
of what we do

We built our own AI platform to give our researchers capability that off-the-shelf tools simply cannot provide.

10×
Increase in research coverage through AI-assisted analysis
GPU-native
Research infrastructure built around GPU compute for model training and inference

Intelligence layer

Models built by
researchers, for researchers

Built in-house by the researchers who use it. Trained on proprietary datasets that exist nowhere else, designed for our domain from the ground up.

INPUT HIDDEN OUTPUT

Capabilities

Where AI meets deep security research

Each capability targets a specific bottleneck in vulnerability research that no general-purpose tool can solve.

01

AI-Assisted Binary Analysis

ML models trained on binary structures uncover patterns in hours that would take weeks of manual analysis.

02

Automated Vulnerability Research

Custom neural networks scan complex systems at scale and flag candidates for expert review across authorized engagements, expanding coverage beyond what any team could achieve manually.

03

LLM-Powered Code Analysis

Models fine-tuned on security datasets help researchers navigate complex codebases at depth, from kernel internals to protocol stacks.

04

Neural Pattern Recognition

Deep learning identifies recurring patterns across codebases and architectures, enabling faster hypothesis generation and more systematic vulnerability analysis.

How we work

Built for research,
not off-the-shelf

01

GPU-native training pipelines

Model training and inference run on dedicated GPU infrastructure, enabling rapid iteration on research-specific datasets that evolve with every engagement.

02

Proprietary datasets

Years of security research output feed our models, building a training foundation that does not exist anywhere else and cannot be replicated from public sources.

03

Researcher-in-the-loop

AI surfaces candidates and patterns while expert researchers direct, validate, and act. The combination consistently outperforms either working alone.

04

Continuous model improvement

Each research engagement generates new training signal. Our models improve with every project, compounding our analytical advantage over time.

Work with us

See what our platform can do

Our AI platform is the engine behind every engagement. Get in touch to learn more.