Post-quantum crypto migration scanner: detects quantum-vulnerable primitives, ML priority scoring (+14pp vs rules), NIST PQC mapping. 21K crypto CVEs analyzed. govML-governed.
AI supply chain security scanner: detects ML-specific risks (model weight poisoning, dataset contamination, gradient-based backdoors) that traditional scanners miss. The Snyk for AI. govML-governed.
CFA x ML fraud detection: XGBoost AUC 0.987, 8 CFA-informed features in top 20 SHAP, 81% adversary-resistant floor. 5th domain controllability analysis. govML-governed.
ML-driven vulnerability prioritization: predicting which CVEs get exploited. 4 research questions, SHAP explainability, 11 architectural decision records. govML-governed.
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