Tool overview
HoundDog.ai is listed under Cybersecurity AI tools.
What is HoundDog.ai?
HoundDog.ai provides a Privacy Code Scanner and Dataflow Context Engine. It traces sensitive data and APIs across code, detects leaks and shadow AI, generates GDPR evidence, supports AI coding agents, and scales from free local tools to enterprise cloud or on-premises coverage.
Best for
Engineering and privacy teams needing code-based evidence for data flows
Who is it for?
Decision note
Confirm supported languages, repository count, deployment, CI and IDE integrations, privacy frameworks, SSO, data handling, support, and enterprise pricing.
Key features
Deterministic sensitive-data flow tracing
PII, PHI, secret, and shadow-AI detection
GDPR datamaps, RoPA, PIA, and DPIA evidence
IDE and CI scanning workflows
Cross-repository API context for AI agents
Cloud and on-premises enterprise deployment
Use cases
Finding sensitive-data leaks in code
Maintaining privacy data maps
Reviewing AI-generated code changes
Providing API context to coding agents
Pros
- Free local scanners are available
- Public enterprise scanner pricing is clear
- Scans can run without sending source code away
Limitations
HoundDog.ai detects code-level evidence but cannot determine every legal obligation, business purpose, consent requirement, or runtime behavior. Privacy professionals must validate findings, records, remediation, and jurisdiction-specific conclusions.
Pricing details
Billing options
Pricing note
The local Privacy Code Scanner and Dataflow Context Engine are free. Privacy Code Scanner Enterprise is $200 per contributing developer per year. Enterprise context-engine pricing is custom.
Supported languages
- Python
- JavaScript
- TypeScript
- C#
- Go
- Java
- SQL
- GraphQL
- OpenAPI
Integrations
GitHub
GitLab
Bitbucket
VS Code
Cursor
IntelliJ
Slack
Jira
Linear
MCP-compatible agents
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