Tools for security teams. Research on the AI stack everyone now depends on.
What we do
Four focus areas.
One discipline.
AI for Cybersecurity
Tools for security operations: attack surface management, autonomous analysis, investigative knowledge systems, and data intelligence pipelines.
Cybersecurity for AI
Security research on the AI stack itself, plus red-teaming for the AI systems organizations deploy. Model formats, inference runtimes, ML pipelines. Active disclosure program with confirmed critical-severity findings in production.
Modernization & automation
We modernize legacy systems and automate the manual work around them. Slow, human-bound processes become reliable, AI-assisted pipelines.
Tooling & platforms
Custom tooling and platforms built to run anywhere: cloud, on-prem, edge, or fully air-gapped. Built by the people who use them.
How we work
From research to fielded capability.
Nothing stops at a paper. We move work across the full TRL range, from first research to fielded capability: AI-driven penetration testing, DFIR and SOC tooling, and AI assurance.
Research
Original security research and novel architectures.
Proof of concept
Prototypes that prove the hard part on real targets.
Early adoption
Pilots with first users, on their own infrastructure.
Fielding
Deployed and operational, where the work happens.
Trust
Fewer hallucinations. Results you can trust.
AI can sound certain and still be wrong. Our TEVVI process (test, evaluate, validate, verify, intent) runs an adversarial verifier against the work, catching errors and inflated claims before they reach you.
Why us
Offense and defense, every readiness level.
We take capabilities from first inception to productization, across the full technology readiness range, on both the offensive and defensive side.
We build the tools
Multi-agent reconnaissance. Knowledge systems for investigations. Pipelines that turn raw data into structured intelligence.
We find the bugs
Confirmed critical-severity findings in production AI/ML systems through responsible disclosure.
Built for the edge
Patent-pending compact neural networks that run on edge hardware and air-gapped networks without a GPU.
Government-ready
SAM.gov. SBIR-eligible. NAICS 541715.
Let's talk.
Security research, product demo, SBIR collaboration.