Building the Cyber-Sentinel Agent
A specialized evaluator agent designed not to find bugs, but to audit for intent. We are creating the benchmark for the next generation of secure, reliable, and trustworthy AI.
The Problem: Contextual Debt as a Security Liability
The foundational thesis of our research is Contextual Debt: "the future cost incurred from a lack of discernible human intent, architectural rationale, and domain-specific knowledge within a codebase."
With the rise of AI-generated code, this is no longer a passive maintenance issue. Contextual Debt has transformed into an active, escalating, and largely invisible security liability. You cannot secure what you do not understand.
To understand why this is a critical issue for all developers, read our introductory article: Your Code Has Amnesia.
Our Solution: The Three Pillars of Contextual Integrity
Our Cyber-Sentinel Agent is built to fight this new class of AI-generated risk. It moves beyond traditional static analysis to audit for intent, providing a holistic "Contextual Integrity Score" for any AI-generated code.
The score is derived from three core pillars of measurement:
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Rationale Integrity
Does the code's purpose align with the documented business rationale and human intent?
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Architectural Integrity
Does the code adhere to the system's established architectural patterns and constraints?
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Testing Integrity
Does the test suite validate the semantic intent of the requirements, not just achieve superficial line coverage?
Who We Are
We are a multi-disciplinary team of architects and senior data scientists with experience from top-tier tech companies like Meta. Our mission is to build the foundational tools for safe and reliable agentic software development.
Join the Mission
We are a build-team focused on winning the AgentX competition. We are currently recruiting for a few key specialist roles. If you are an elite builder, security specialist, or strategist who believes in this mission, contact us to learn more.