Most ML teams have a hidden security gap: OWASP and NIST CSF don’t cover ML-specific risks like training data poisoning, model inversion, membership inference, embedding extraction, feature store poisoning, or data lineage gaps. My 18‑page AI Data Pipeline Security Framework fixes that with concrete architecture, controls, and GDPR/SOC2/EU AI Act/NIST AI RMF mapping—plus a 30/60/90‑day rollout plan. https://contra.com/products/XNryplbR-ai-data-pipeline-security-framework-enterprise-edition