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DataFog builds open-source tools to keep sensitive data out of AI workflows. Start with a customer CSV: ask Claude Code to check it for emails and phone numbers, then create a redacted copy before analysis. Detection and transformation run locally, and the original file stays unchanged. DataFog MCP brings local scanning and redaction to AI assistants. DataFog Core is the underlying engine for developers building privacy into their applications. Get started: https://datafog.ai MCP server: https://github.com/DataFog/datafog-mcp Core engine: https://github.com/DataFog/datafog-core

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Sid Mohan is the Founder and CEO of DataFog.

1 people are employed at DataFog.

DataFog is based in San Francisco, California.

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