hounddog
Privacy code scanning and dataflow context for developers, privacy teams, and AI coding agents.
About hounddog
hounddog is a privacy code scanner and dataflow context platform for engineering, privacy, and compliance teams. It analyzes source code to identify sensitive-data flows, Shadow AI usage, and third-party integrations before software ships. Developers can run the free CLI locally and receive a Markdown report with a GDPR-sensitive data map, visualizations, traces, and code-level evidence. Enterprise deployment adds continuous scanning through GitHub, Bitbucket, and GitLab, custom rules and allowlists, organization-wide visibility, PIA and DPIA reporting, RoPA workflows, alerts, and issue-tracker integrations. Teams can choose managed cloud or on-premises deployment, while optional AI analysis interprets already-detected traces to close false positives, adjust severity, and add context. The separate Dataflow Context Engine supplies cross-repository API and service relationships to AI coding agents through MCP servers and Skills.
Best for
Best use cases
Run an on-demand scan and review a local Markdown report
Connect repositories to continuous CI scanning and organization-wide reporting
Supply cross-repository API and service context to AI coding agents
Compare before choosing
The free tier suits point-in-time local scans; Enterprise is designed for continuous organization-wide coverage
Cloud and on-premises deployment options let enterprise teams match infrastructure requirements
Optional AI analysis interprets deterministic scan findings rather than replacing the scanner
Features
Catch sensitive-data leaks before release
Engineering teams scan code for PII, PHI, secrets, and risky sinks before data reaches logs, integrations, or AI prompts.
Keep privacy records aligned with code
Privacy teams use code-derived maps and review workflows to maintain PIA, DPIA, and RoPA records as applications change.
Give coding agents cross-repository context
Developers provide AI agents with a continuously updated graph of APIs, services, and field-level relationships.
Pros
- A $0 free-forever CLI supports evaluation without a paid commitment.
- Code-level traces and local reports fit developer review workflows.
- Cloud and on-premises enterprise deployment support different infrastructure requirements.
Cons
- Continuous CI scanning requires Enterprise.
- Per-developer enterprise pricing increases with contributing team size.
- The free plan lacks organization-wide privacy reporting and RoPA workflows.
Pricing Plans
Free
- CLI access for on-demand scans
- IDE plugins for VS Code, Cursor, and IntelliJ
- Sensitive-data leak detection across supported languages
- Shadow AI and third-party integration discovery
- Local Markdown report with GDPR-sensitive data maps, visualizations, traces, and code-level evidence
Enterprise
- Everything in Free
- Managed cloud or on-premises deployment
- GitHub, Bitbucket, and GitLab integrations with automated CI configuration
- Custom rules and allowlists
- Optional AI-powered analysis of detected traces
- App-specific PIA and DPIA reports
- Organization-wide RoPA workflow
- Slack and email alerts plus Jira and Linear integrations
- SSO, RBAC, audit logs, and priority support
* Pricing information is for reference only. Please refer to the latest announcement on hounddog's official website.