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Code privacy scanner for AI apps to detect PII leaks and data flows
HoundDog.ai is a privacy-focused code scanner built for AI applications. It helps teams spot PII leakage risks and understand real data flows directly inside a repository, supporting privacy by design at the code and integration level.
HoundDog.ai automatically identifies where personal data is handled in the codebase, how it moves between internal services and external providers, and where leakage risks may appear—especially in AI apps that rely on third-party LLM providers and SDKs.
The scanner reviews your repository and surfaces AI connections across common providers and frameworks, helping security and compliance teams find integrations that may not be formally tracked.
With automated data mapping and early PII risk detection, development teams can prepare for audits faster, simplify GDPR and other regulatory compliance work, and scale AI products without losing user trust.
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