NBS-RASN is a 12-layer shallow network with 80 neurons that enforces precision, causality, falsifiability, transparency, and completeness as hard constraints to generate decomposable risk scores on 20 open-source projects covering OWASP Top 10 categories.
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Neuro-Bayesian-Symbolic Residual Attention Shallow Network: Explainable Deep Learning for Cybersecurity Risk Assessment
NBS-RASN is a 12-layer shallow network with 80 neurons that enforces precision, causality, falsifiability, transparency, and completeness as hard constraints to generate decomposable risk scores on 20 open-source projects covering OWASP Top 10 categories.