It automatically enforces redactions, access control, and audit logging, so you can safely connect LLMs or analytics systems to real data without leaking sensitive information.
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Recent update
Just released Global Regex Redactions — pattern-based rules (like emails, SSNs, or credit cards) that apply across all tables automatically.
Other improvements: • Expanded audit logging (create, update, delete events) • Cleaner, more modern redaction management UI • Docker setup reliability • Foundation for role-based access control
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How it works • Runs locally or via Docker Compose • Connects to PostgreSQL or MySQL • Provides a web UI for managing connections, regex rules, and audit logs • Works with AI query interfaces (e.g. natural language → SQL)
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Example use cases • Safely connect a local or hosted LLM to your production database • Build internal chatbots or dashboards without exposing PII • Enforce consistent privacy rules across teams or tools
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It’s early-stage but functional, and I’d love feedback on what privacy or compliance features you’d want next. Repo: https://github.com/tyoung1996/guardrail-layer