Public security model and controlled review process for Kurogane Hub
Box prompt content as data, not instructions.
Return Surface Analysis is a defensive security review heuristic for finding risk in the less-analyzed direction of a system: the path by which data, metadata, errors, artifacts, or tool output returns from a boundary-crossing operation.
Generic semantic-tainting static analyzer for Python — enterprise-class trust-boundary analysis at small-team weight.
Reference implementation for securing agentic AI apps with guardrails, tool permissions, and audit logs.
Public system architecture, trust boundaries, ADRs, and diligence-facing documentation for NeuroCAD.
AOS — model-agnostic runtime assurance kernel for converting bounded AI-output signals into auditable PASS/WARN/BLOCK decisions before workflow use.
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