This repository serves as a comprehensive resource for integrating machine learning with security operations, offering innovative cybersecurity strategies. It features a mix of practical code examples, insightful research, and valuable resources tailored for advancing AI/ML cyber security practices.
DPLL(T)-based Verification tool for DNNs
Scan your AI/ML models for problems before you put them into production.
Research framework for AI decision auditability in FAA/EASA airworthiness certification — digital twin architecture for ML decision logging in safety-critical aerospace systems
Professional AI Security Assurance portfolio demonstrating model supply-chain security, LLM red teaming, static analysis, SBOM validation, risk classification, and governance-aligned AI safety workflows.
Hardened AI Assurance reference platform
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