HoundDog.ai’s lightweight, modern privacy code scanner allows technology driven companies to embed privacy into the development process to catch privacy risks early and automate GDPR data mapping and privacy reporting (RoPA, PIA, and DPIA). 

The scanner replaces the guesswork from data flow mapping with code level evidence that maps sensitive data flows directly from your applications’ source code and dependencies, including across APIs, SDKs, and AI integrations, before anything reaches production. 

Many teams use it to prevent overlogging of sensitive data, uncover hidden third party and AI integrations, and detect data flow changes that can violate internal policies or data processing agreements due to silent code updates early in development, including simple oversights such as printing full user objects or passing tainted variables. 

HoundDog.ai is trusted by Fortune 1000 companies in the technology and healthcare sectors, and recently integrated with Replit to bring privacy code scanning to its 45M creators, offering instant visibility into sensitive data flows and privacy issues.

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