Security research • automation • reporting
We build ethical security tooling, conduct applied research, and deliver clear, reproducible results—so teams can reduce risk with confidence.
Services are designed for teams that want defensible findings, repeatable processes, and outcomes that translate directly into fixes.
Controlled vulnerability research with clear impact analysis, reproduction steps, and remediation guidance aligned to real engineering workflows.
Purpose-built tooling that improves signal-to-noise, speeds up triage, and standardizes reporting—without sacrificing safety or oversight.
Practical training and documentation that helps teams adopt stronger habits, repeatable labs, and operationally useful security workflows.
We prioritize authorization, transparency, and defensive outcomes. Work is scoped, reproducible, and aligned to responsible disclosure principles.
Note: We operate exclusively in authorized and controlled environments.
Selected internal work focused on improving defensive insight, triage quality, and reporting fidelity.
An internal research platform exploring AI-assisted orchestration for vulnerability triage, signal correlation, and report generation in controlled lab environments.
Public demos are limited to authorized lab targets (e.g., intentionally vulnerable apps).
Reproducible lab environments and training workflows designed to teach defensive thinking: what happened, why it matters, and how to fix it.
An offline-first Shadowrun GM system powered by local LLM inference (Ollama), focused on street-level narration and consequence tracking. Dice results are treated as authoritative player input; campaign memory persists as structured JSON.
Want to collaborate, request a demo in a controlled lab environment, or discuss a scoped engagement? Send a note below—messages go directly to our inbox via Netlify Forms.
We respond as fast as possible. If your message involves testing, include scope + authorization details.