Privacy Code Scanner

Data Flow Mapping

The code logic in your custom applications defines how sensitive data flows across storage, APIs, and third-party and AI integrations. HoundDog.ai maps those flows directly from source code, before production.

The Capability

What Is Data Flow Mapping?

Data flow mapping traces how sensitive data moves through an application, across functions, services, third-party integrations, and AI tools. HoundDog.ai builds the map statically from source code, so it reflects what your applications actually do, not what surveys and diagrams say they do.

1. Collected
   What sensitive data is collected
2. Stored
   Where that data is stored
3. Moved
   How it moves between services, third parties, and AI tools
4. Compliant
   Whether each flow meets policy and regulatory requirements

Coverage spans every relevant data type:

• Personal and user data
• Customer and account identifiers
• Financial and transactional data
• Protected health information
• Authentication tokens and secrets
• Internal metadata and proprietary fields

Hidden Risk

Data Flows You Can't See in Production Tools

Privacy teams rely on three workflows today, and none of them keeps up with modern development.

Manual Documentation Does Not Scale

• Engineering gets flooded with privacy questionnaires every release
• Responses come back incomplete, outdated, or guessed
• The cycle repeats with every code change, so records lag behind by design

GRC Platforms

• Provide blank RoPA, PIA, and DPIA templates and leave privacy teams to interview engineers and collect data flows by hand

Privacy Platforms Are Blind to the Codebase

• Privacy platforms infer flows after deployment, missing shadow AI and SDKs added in code

The result: Stale Evidence, Drift, and Exposure.

Why It Matters

Identify Where Sensitive Data Actually Lives

In complex applications, sensitive data rarely stays where teams expect it to. HoundDog.ai maps data across:

• Application code and business logic
• Databases and storage layers
• Internal microservices
• Third-party APIs and SaaS integrations
• AI and LLM pipelines

Prevent AI Data Leaks Before They Happen

As AI usage expands, so does the risk of unintentionally sharing sensitive data with external models.

Replace Guesswork with Code-Level Evidence

Traditional privacy reviews often rely on interviews, architecture diagrams, and self-reported documentation. HoundDog.ai analyzes actual code paths to see how data moves through:

• Functions and business logic
• Services and microservice boundaries
• API request and response payloads

Stay Audit-Ready by Default

Mapped data flows become code-level evidence for your compliance documentation which reflects how the system works today, not months ago.

How HoundDog.ai Data Flow Mapping Works

HoundDog.ai operates inside the development pipeline.

Scan Code as It Is Written

Integrates with CI pipelines across GitHub, GitLab, Bitbucket, and others.

Trace Sensitive Data Flows

Automated data flow mapping shows exactly which sensitive data elements reach each data sink per repository.

Surface Suggested Edits

New data flows and subprocessors become suggested edits in your Org RoPA.

Enforce Before Deployment

Bake your privacy policies into the CI pipeline.

Datamap

The Datamap provides automated data mapping, discovery, and classification of sensitive data flows across all your repositories.

Ask your datamap in plain English

When an AI integration is enabled, a chat panel lets you query your organization-wide datamap in plain English.

What Makes HoundDog.ai Different

Purpose-built for teams that detect sensitive data flows and automate GDPR data mapping directly from source code.

Code-Level Data Flow Intelligence

Detect and map sensitive data flows directly from source code across APIs, services, and third-party integrations.

Built for AI & LLM Workloads

Discover AI SDKs embedded in code and detect sensitive data flows to LLM prompts and external AI APIs before your apps go live.

FAQ

What is data flow mapping?

Tracing how sensitive data moves through an application: what is collected, where it is stored, how it travels between services, third parties, and AI tools.

Does HoundDog.ai send my source code anywhere?

No. Scans run inside your own CI pipeline. Only scan findings are used to build the data map.

Make Privacy-by-Design a Reality in Your SDLC

Detect PII leaks, map sensitive data flows, and automate GDPR data mapping at the speed of development.