HoundDog.ai

ai provides a privacy code scanner and dataflow context engine designed to help engineering teams, privacy professionals, and compliance officers identify and manage privacy risks within codebases. The platform focuses on delivering real-time, code-based dataflow intelligence to automate GDPR data mapping, maintain records of processing activities (RoPA), and support privacy impact assessments. ai aims to keep compliance documentation current and reduce the risk of data leaks.

The tool offers two main products: a Privacy Code Scanner for proactive privacy analysis and GDPR data mapping, and a Dataflow Context Engine that maps services, APIs, and data fields across monorepos and microservices. These capabilities are intended to give AI coding agents real-time, cross-repository context, enabling safer, faster, and more cost-effective code changes. ai supports integrations with IDEs and CI pipelines, and can provide a deterministic, always-fresh catalog of APIs, fields, and downstream consumers throughout code repositories. It also includes features for data minimization, leak prevention—such as stopping secrets, PII, and PHI from entering risky sinks before production—and monitoring data flows to third parties, SDKs, and LLMs.

For organizations focused on regulatory compliance, the platform automates GDPR data mapping, validates privacy reviews, and helps maintain RoPA with suggested updates based on code-level evidence. It also supports privacy by design principles by enabling developers to catch violations early in the development process, including within IDEs and pull requests. Additional features address AI governance, shadow AI discovery, EU AI Act compliance, DPA enforcement, and HIPAA compliance by tracing sensitive data flows and producing aligned evidence for security and compliance teams.

ai is available with integrations for CI/CD environments and IDE plugins. The Privacy Code Scanner and Dataflow Context Engine are both offered for free on GitHub, allowing users to access code-based evidence for GDPR data mapping and real-time API context for AI coding agents. The platform is positioned as a privacy and data security solution tailored for engineering and compliance use cases, emphasizing code-based, deterministic analysis and centralized dataflow context.