Join the HoundDog.ai team at the IAPP Global Privacy Summit to see how privacy teams are transforming data privacy compliance, GDPR data mapping, and privacy risk detection by embedding privacy directly into the development lifecycle.
Shift Left on Privacy. Join us to learn how our privacy code scanner enables proactive GDPR data mapping, privacy compliance automation, and privacy risk detection at development speed.
Eliminate blind spots in data flow mapping
Automatically discover and map sensitive data flows across storage systems, logs, APIs, AI integrations, and third party SDKs. Identify hidden abstractions, SDKs, and indirect data paths that traditional privacy tools miss because they only analyze production environments.
Prevent privacy risks before they reach production
Detect issues early in development: auth tokens and passwords exposed in plaintext logs, personally identifiable information (PII) shared with AI systems or third parties outside the scope of data processing agreements, and unauthorized or unknown data flows across services. Stop risks before code is merged, not after data exposure has already occurred.
RoPA that keeps itself current
As new categories of personal data, subprocessors, and AI integrations are introduced in code, the scanner surfaces suggested edits to your Org RoPA. Your privacy team reviews and approves every change, no surveys, no chasing application owners, no stale Article 30 records.
Validate privacy reviews with code evidence
Verify that what was approved in design-phase Privacy Impact Assessments and DPIAs matches what the code actually does, before it is pushed to production.
Try it free
Get the scanner at github.com/hounddogai/hounddog and generate a local markdown report with your full data map, data lineage, and privacy risk insights in minutes.
See you there. Visit us at Booth 109 to meet the team and see how to operationalize privacy by design, shift left privacy, and automated GDPR compliance directly within your development workflow.