HoundDog.ai

HoundDog.ai analyzes source code to map sensitive data flows and service/API dependencies. The Privacy Code Scanner detects privacy risks such as PII, PHI, and secrets reaching logs, storage, APIs, third-party integrations, and AI/LLM integrations, and supports GDPR data mapping and Records of Processing Activities (RoPA) with code-based evidence. The Dataflow Context Engine builds a service catalog of APIs, fields, and downstream consumers across repositories, offered as a local MCP server, CLI, and Skills, or as a centralized cloud or on-premises enterprise deployment. The page states that scanning runs locally and that AI analysis is optional and layered on static findings. Both products are described as free on GitHub, with an enterprise tier and a Book a Demo option.

Key features

• Deterministic dataflow analysis from source code
• Tracking of 100+ sensitive data types (PII, PHI, CHD, auth tokens) across code paths and data sinks
• Detection of 1,000+ third-party and AI integrations directly from code, including Shadow AI
• GDPR data mapping and RoPA suggested updates backed by code-based evidence
• Privacy Impact Assessment and DPIA support with code-based evidence for privacy reviews
• CI integrations that run scans on pull requests
• Local MCP server, CLI, and Skills for AI coding agents (free, runs on local machine)
• Centralized cloud or on-premises context with direct GitHub, Bitbucket, and GitLab integrations (Enterprise)
• Optional AI analysis that auto-closes false positives and adjusts severities on static findings
• Service catalog of APIs, fields, and downstream consumers across repositories

Best suited for

• Engineering teams building applications that handle PII, PHI, or secrets
• Privacy and compliance teams maintaining GDPR RoPA and privacy reviews
• Security teams preventing sensitive data from reaching logs or LLM prompts
• Organizations using AI coding agents across monorepos or microservices
• Healthcare organizations assessing HIPAA exposure in application code
• Organizations preparing for EU AI Act obligations by mapping AI usage

Pricing

Privacy Code Scanner and Dataflow Context Engine are listed as free on GitHub. Enterprise Dataflow Context Engine is listed at $200 per developer per year, described as predictable per-developer pricing.