#Data Security — Kunal Ganglani

Data Privacy in RAG: Redaction, Retention and Audit Trails

A practical engineering playbook for data privacy in RAG: what to redact, where privacy leaks happen, default retention periods, and audit trails you can defend in an audit without wrecking debugging.

A security and privacy dashboard with its status.

Cybersecurity

Prevent Sensitive Data Leakage in RAG: A 7-Step Playbook

RAG leaks rarely happen in the model. They happen in logs, traces, and vector stores. Here’s a practical playbook to ship redaction, least-context retrieval, and auditable controls end-to-end.

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How to Pick LLM Application Observability Metrics Token logs are table stakes. 9 min read
How to Build Synthetic Data for RAG Evaluation A leakage-first, adversarial-negative pipeline to generate, label, and validate a synthetic RAG evaluation set without building a… 8 min read
RAG Evaluation Metrics for Retrieval Quality: My Production Playbook If your RAG app got worse after an embeddings or chunking change, grading answers won’t tell you why. 11 min read