How It Works
Turning Code Scans into Living Data Flow Maps
See how it works yourself. Use the interactive demos below based on what best suits your needs.
How Privacy Code Scanning Works
Detect sensitive data flows, prevent PII leaks, and automate GDPR data mapping directly in your development workflow.
Scan Code as It’s Written
HoundDog.ai integrates directly into your development workflow to scan code in IDEs (VS Code, IntelliJ, Cursor) and in CI pipelines as it is written or generated.
Trace Sensitive Data Flows
Automatically map sensitive data flows directly from source code across functions, APIs, third party services, and AI integrations to detect privacy risks and support GDPR data mapping.
Enforce Privacy Rules Before Deployment
Apply allowlists to define which data types are permitted in LLM prompts and other risky sinks, and automatically block unsafe pull requests to maintain compliance.
Build Customer Trust with Transparent Data Handling and GDPR Data Mapping
- Automatically generate GDPR data mapping and data flow maps directly from source code to show where sensitive data is collected, processed, and shared across functions, APIs, third party services, and AI integrations.
- Auto generate audit ready Records of Processing Activities (RoPA), Privacy Impact Assessments (PIA), and
Data Protection Impact Assessments (DPIA) pre populated with detected sensitive data flows and privacy risks aligned with GDPR, CCPA, HIPAA, and other regulatory frameworks. - Detect sensitive data flows using privacy code scanning to give privacy and security teams continuous visibility into processing activities without surveys, spreadsheets, or manual discovery.
- No production monitoring required. No retroactive cleanup. No guessing. Detect privacy risks early in development before code reaches production.
Enabling PII Leak Detection & GDPR Data Mapping Across All Stages of Development
IDE Plugins
Detect sensitive data leaks directly in your IDE as you write code.
Catch privacy risks early before they reach production.
Managed Scans
Offload scanning to HoundDog.ai with direct source control integrations.
Automatically analyze repositories for privacy risks.
CI/CD Integrations
Use HoundDog.ai source control integrations to auto configure CI.
Block risky pull requests before they are merged.
More About HoundDog.ai
HoundDog.ai helps organizations proactively detect and prevent the overexposure of sensitive data in high risk mediums that could lead to privacy violations. By embedding detection, enforcement, and audit ready reporting directly into the development process, HoundDog.ai streamlines privacy compliance from day one. Its domain specific static code scanner analyzes code from IDE to CI, identifying sensitive data handling risks before code is deployed. Designed to catch unintentional mistakes by developers or AI generated code, the scanner flags exposure of PII, PHI, CHD, and authentication tokens across often overlooked surfaces such as logs, files, local storage, third party SDKs, and AI specific mediums like LLM prompts and embedding stores, enabling true privacy by design at the code level.
Make Privacy-by-Design a Reality in Your SDLC
Shift left on privacy with code scanning. Detect PII leaks, map sensitive data flows, and generate GDPR data maps, RoPA, PIA, and DPIA before code reaches production.