Analysis · curated 28 Aug 2026
AI Data Security Guides
First reported hardshell.ai
Coverage timeline
Single-source analysis — first reported, latest, and curated coincide.
Why it matters
Hardshell's guide hub gives security and data engineering teams a plain-language reference to retrieval-layer exposure in RAG, agentic retrieval, and connector-based AI assistants, mapping each failure mode to applicable controls and standards.
Hardshell's AI Data Security Guides is an index of reference material on how enterprise AI systems leak data at the retrieval layer, covering secure RAG, data poisoning, training data leakage, and AI data pipeline security. Each guide maps failure modes to controls and standards (NIST AI RMF, ISO/IEC 42001, OWASP LLM Top 10, MITRE ATLAS) and links deeper dives, checklists, and a RAG leakage self-test.