How It Works
Proactive PII Leak Prevention, Third-Party App Data Flow Tracking, & Automated Privacy Compliance
HoundDog.ai’s Privacy by Design Code Scanner helps organizations proactively detect and prevent the overexposure of sensitive data in high risk mediums that could lead to privacy violations. The scanner embeds privacy into every stage of development, from IDE to CI. It discovers third party and AI integrations, including shadow AI, detects exposures of Personally Identifiable Information (PII), Protected Health Information (PHI), and authentication tokens in LLM prompts and other often overlooked surfaces such as logs, files, and third party SDKs, blocks unapproved data types before code reaches production, and generates audit ready Privacy Impact Assessments prefilled with detected data flows and privacy risks.
See how it works yourself. Use the interactive demos below based on what best suits your needs.
More About HoundDog.ai
HoundDog.ai helps organizations proactively detect and prevent the overexposure of sensitive data in high risk mediums that could lead to privacy violations. By embedding detection, enforcement, and audit ready reporting directly into the development process, HoundDog.ai streamlines privacy compliance from day one. Its domain specific static code scanner analyzes code from IDE to CI, identifying sensitive data handling risks before code is deployed. Designed to catch unintentional mistakes by developers or AI generated code, the scanner flags exposure of PII, PHI, CHD, and authentication tokens across often overlooked surfaces such as logs, files, local storage, third party SDKs, and AI specific mediums like LLM prompts and embedding stores, enabling true privacy by design at the code level.
Make Privacy-by-Design a Reality in Your SDLC
Shift Left on Privacy. Scan Code. Get Evidence-Based Data Maps. Prevent PII Leaks in Logs and Other Risky Mediums Early—Before Weeks of Remediation in Production.