AI Data Security

Capture Summary

Joint guidance on risks in AI systems stemming from data security issues across AI deployment phases. Search result notes recommended protocols for securing data used to train and operate AI-based systems.

Relevance

• Directly relevant to Security for AI data lifecycle risks.
• Useful for research around provenance, tampering, unauthorized access, poisoning, and data leakage.
• Complements RAG poisoning and model/data governance sources.

Collection Notes

Collected as official government guidance.