A data-loss-prevention (DLP) layer for AI agents that intercepts document reads, scans for sensitive data, and redacts or blocks it before it reaches the model, with audit logging.
Local CLI and MCP server that redacts secrets from logs, files, and diffs before sending them to AI agents, with stable placeholders and token-budgeted truncation.