What is HoundDog?
HoundDog.ai provides code‑level privacy scanning to detect PII leaks and map data flows across logs, APIs, third‑party SDKs, and AI integrations.
It auto‑generates GDPR‑aligned documents such as Records of Processing Activities, Privacy Impact Assessments, and Data Protection Impact Assessments based on detected flows.
The tool integrates into IDEs (VS Code, IntelliJ, Cursor) and CI/CD pipelines, blocking risky pull requests before merge.
An API Context Engine supplies continuously updated dependency graphs for AI coding agents, improving API change safety and reducing token usage.
Designed for engineering and compliance teams, it supports large monorepos and microservice architectures, handling cross‑repo and cross‑service data movement.
Security features include local or self‑hosted execution, SOC 2 compliance, and a transparent trust center with SBOM and penetration test reports.
HoundDog pricing Freemium
Verify on the official pricing page.
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HoundDog's key features
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Scan code for PII leaks
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Generate GDPR data maps
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Provide API context graphs
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IDE plugin integration
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CI/CD pull request blocker
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Detect AI SDK data flows
HoundDog use cases
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Detect PII leaks in every commit and block risky pull requests directly in the IDE, using HoundDog.ai without manual scans, ensuring your code stays GDPR‑compliant before it reaches production
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Generate comprehensive GDPR‑aligned privacy documents and data‑flow diagrams automatically, using HoundDog.ai to map logs, APIs, SDKs, and AI integrations, so compliance teams can review and sign off faster
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Integrate HoundDog.ai's API context engine into your IDE for AI coding, automatically filtering out personal data from suggestions, ensuring AI tools never expose or store sensitive information
Who is it for?
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Data protection analysts
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Privacy compliance officers
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Software developers
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Security auditors
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Governance analysts
