HoundDog.ai Privacy Code Scanner

HoundDog.ai is a platform offering two products: a Privacy Code Scanner and an API Context Engine. Privacy Code Scanner: A static analysis tool that scans source code to detect privacy risks and automate GDPR compliance workflows. It operates at the code level to trace how personally identifiable information (PII) and other sensitive data flows through an application, including across logs, APIs, third-party SDKs, and AI integrations. Key capabilities include: - Detection of sensitive data appearing in logs and local storage - Identification of shadow AI integrations (e.g., LangChain, LlamaIndex) and unauthorized third-party data flows - Tracking of cross-service data flows over REST, GraphQL, and gRPC - Detection of sensitive data passed into AI prompts - Auto-generation of Records of Processing Activities (RoPA), Privacy Impact Assessments (PIA), and Data Protection Impact Assessments (DPIA), prefilled with detected data flows - CI/CD pipeline integration for shift-left privacy enforcement API Context Engine: A tool designed to provide AI coding agents with continuously updated API dependency context. It analyzes both Protobuf (.proto) files and service code to produce a live map of gRPC APIs, consumers, and fields in use. It exposes this context via MCP (Model Context Protocol) to AI coding agents such as Cursor, Claude Code, and GitHub Copilot, enabling safer API changes and reducing unnecessary token usage on code analysis. Trusted by organizations including Replit, Labcorp, Wintrust, and others. The Privacy Code Scanner is available as open source on GitHub.