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Meet the HoundDog.ai team at IAPP Europe Data Protection Congress 2025

November 19-20, 2025 SQUARE, Brussels Convention Centre, Brussels, Belgium Booth 48
IAPP Europe Data Protection Congress 2025 event banner featuring HoundDog.ai

Join the HoundDog.ai team to learn about our privacy code scanner for proactive data flow mapping and privacy risk detection at development speed.

Shift Left on Privacy. No backfilling of missing data flows. No more catching risks after the fact.

No more blind spots

Map data flows across all storage mediums, AI and third party integrations, including hidden abstractions and SDKs that most privacy platforms miss due to their reactive approach of scanning what is already in production.

HoundDog.ai data map grouped by data sink, showing which sensitive data elements flow to logs, files, and third party integrations
Data map by sink: see exactly where each sensitive element ends up.

Catch privacy risks before they occur

Auth tokens and passwords exposed in plaintext in logs? PII shared with AI and third party integrations beyond the scope of established data processing agreements? Do not wait until the data is already flowing and the risks are amplified. Prevent these issues in development before any code is merged and pushed to production.

HoundDog.ai scanner finding showing an auth token exposed in plaintext application logs, caught at scan time
A real finding: an auth token in plaintext logs, caught at scan time.

Keep your RoPA current without the chase

Tired of chasing app owners for data flow updates? The scanner surfaces suggested Org RoPA edits as new data categories and subprocessors appear in code. Your privacy team reviews and approves, and validates PIA and DPIA reviews against code-based evidence.

HoundDog.ai Org RoPA with scanner-suggested edits awaiting privacy team review and approval
Scanner-suggested Org RoPA edits, awaiting privacy team review and approval.

Try it free

Get the scanner at github.com/hounddogai/hounddog and get a local markdown report with your full data map and visualizations.

See you there. Stop by Booth 48 and let's build privacy into your dev workflow from the start.

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