HoundDog.ai is a privacy code scanner built in Rust for privacy and engineering teams at companies developing custom applications and software. It traces sensitive data flows directly from source code across APIs, SDKs, and AI integrations, catching data exposure risks before anything reaches production. Teams use it to automate GDPR data mapping and privacy reporting such as RoPA, PIA, and DPIA, prevent overlogging of sensitive data, uncover hidden third-party and AI subprocessors, and enforce proactive AI governance. The scanning engine is fully rule-based and deterministic, with AI used selectively to scale coverage across thousands of code patterns. Code never leaves your environment, scans complete in seconds even across codebases with millions of lines, and direct integrations with GitHub, Bitbucket, and GitLab mean CI configuration can be rolled out in minutes, not weeks.