Compliance

EU AI Act — Data Governance via Automated Scanning: How to meet EU AI Act requirements through automated dataset scanning.
GDPR & The Right to be Forgotten: Managing personal data in AI pipelines to comply with GDPR deletion requests.
License Compliance in Machine Learning: Ensuring all ML models and libraries are used according to licensing rules.
DORA Compliance for Financial RAG Systems: How banks and financial institutions can deploy LLMs while maintaining the continuous threat monitoring and supply chain security mandated by the Digital Operational Resilience Act.
HIPAA & GDPR Enforcement via Zero-Shot PII Redaction: Architectural strategies for preventing Protected Health Information (PHI) leakage in healthcare AI using GLiNER and hybrid ML scanning.
Cyber Resilience Act (CRA) — AI & Software Compliance: How to ensure AI systems and software products meet EU Cyber Resilience Act requirements, including secure-by-design development, vulnerability management, and lifecycle security obligations.
EU AI Act — O(1) Memory Bias & Fairness Evaluation: How to measure Demographic Parity and detect hidden proxy bias (Cramér's V) in large datasets using streaming analytics for Article 10 compliance.

NIST AI Risk Management Framework: Applying NIST guidelines to assess, mitigate, and monitor AI risks.
Automating AI-BOM (CycloneDX 1.5) in CI/CD: How to automatically extract model provenance, tensor architectures, and licensing into CycloneDX 1.5 format for EU AI Act Article 11 compliance.