Get Data Maps that are

Get Data Maps that are Fast, Accurate & Dynamic

Use Privado Data Mapping to generate accurate and dynamic data maps in a fraction of the time. Continuously scan products, apps, contracts and systems to achieve and maintain compliance.
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Data Mapping Diagram
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Dynamic Data Maps
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Save time with complete data maps in under 3 Days

Stop chasing stakeholders for months with assessments and spreadsheets. Get data maps with the click of a button.

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Reduce risk with data maps that never lie

Eliminate subjective inputs that lead to costly compliance mistakes. Generate accurate data maps with privacy code scanning.

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Scale privacy with automated data maps

Stop building static data maps that go out of date with your next product release. Put data maps on auto-pilot and stay in sync with business changes.

Data Mapping Made Simple

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Data Inventory

Gain Full Visibility of Your Data

Automatically discover and classify the personal data elements your company processes.  Build a dynamic inventory of all data-stores, systems, and third parties.

Illustration of Privado identifying shadow third-parties in product code, contracts, SSO providers, and systems to compile a comprehensive list
Third Party Visibility


Identify shadow third-parties integrated in your product code or used by business teams. Privado scans your product code, contracts, SSO providers and systems to create a complete list of third parties.

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Data Discovery

Dynamic Data Flow Discovery

Visualize the full data lifecycle from collection to sharing and storage. Prevent excessive data sharing with third parties and identify cross-border data transfers.

Illustration of pre-filled RoPAs and PIAs generation through product and application scans, promoting collaboration with product and engineering teams
Assessment Automation

Defensible Privacy Reports

Generate pre-filled RoPAs and PIAs directly from scanning your products and applications. Seamlessly collaborate with product and engineering teams to get faster and accurate responses.

Start bridging the Privacy Engineering Gap