Privacy Reports

HoundDog.ai automates privacy reporting at two levels: individual applications and the organization as a whole. Together, these cover the full scope of privacy documentation required by GDPR (Articles 5, 28, 30, and 35) and other frameworks such as CCPA/CPRA, HIPAA, PCI, GLBA, PIPEDA, APPI, NIST 800-53, ISO/IEC 29100, KSA PDPL, UAE PDPL, and Qatar PDPPL.

The Problem

Privacy reports like Records of Processing Activities (RoPA), Privacy Impact Assessments (PIA), and Data Protection Impact Assessments (DPIA) are required by regulation, but keeping them accurate is where most organizations struggle. Development moves fast, new integrations get added in code, and privacy teams are left chasing app owners for updates or filling out templates from memory. The result is reports that drift out of date with every release.

Traditional approaches fall into two buckets. GRC platforms provide blank templates and ask privacy teams to do the heavy lifting manually. Production-focused privacy platforms attempt to infer data flows after applications are live, but miss shadow AI and third-party integrations added directly in code.

How HoundDog.ai Approaches Privacy Reporting

HoundDog.ai takes a different approach. The privacy code scanner detects sensitive data flows, data elements, and third-party and AI subprocessors directly from source code, and uses these findings to automatically populate privacy reports. This means the hardest part of any RoPA or PIA, accurately documenting how data is collected, processed, and shared, is handled by the scanner rather than by surveys or interviews.

Privacy reporting in HoundDog.ai is organized into two levels:

App Reports

App Reports are scoped to individual applications. Each application can consist of one or multiple code repositories. App Reports include:

• Records of Processing Activities (RoPA): Documents the processing activities for a specific application, with data flows auto-populated from scan results
• Privacy Impact Assessment (PIA): Evaluates privacy risks for a specific application, with detected risks auto-prefilled and a DPIA recommendation based on overall risk score
• Data Protection Impact Assessment (DPIA): A deeper assessment triggered when the PIA indicates high risk

App Reports are ideal for privacy reviews during development, before a new application or feature goes to production, or as part of a periodic review cycle for existing applications.

See App Reports for full documentation.

Org Reports

Org Reports provide an organization-wide view of processing activities across all applications and business functions. The Org RoPA combines two sources:

• Automated inputs from the scanner: New data flows, data elements, and AI and third-party subprocessors detected across all scanned repositories are surfaced as suggested changes that can be reviewed and applied
• Manual inputs for non-technical functions: Processing activities from sales, marketing, customer support, HR, analytics, and other departments that are not captured by code scanning

The Org RoPA includes a built-in workflow for DPOs to send review requests, approve changes, track historical updates, and publish finalized records.

See Org Reports for full documentation.

When to Use Each