Short answer
AI redaction protects sensitive data before RAG or AI agent workflows by removing confidential information before documents are indexed, embedded, retrieved, summarized, or passed to a model.
Expanded answer
RAG systems and AI agents can reuse document content across search, summarization, reasoning, and automated actions.
If sensitive information enters the workflow too early, it may be exposed in model outputs, logs, embeddings, or downstream tools. Redaction before ingestion creates a safer boundary for enterprise AI adoption.
For a fuller framework, see Redaction Before RAG: A Practical Framework for Enterprise AI.