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.
Proactive privacy for AI products
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.
AI integrations and shadow AI detection
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.
- OpenAI
- Anthropic
- Google GenAI
- LangChain
- Semantic Kernel
- CrewAI
Compliance and audit readiness
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.
