How does Privado identify personal data flows?

Privado scans all code running backend software to identify and classify all personal data elements processed by your software. It discovers all collection points, processing activities, storage destinations, and third parties, tracking the flow of each data element across your tech stack in real-time.

How do Smart Assessments work?

Smart Assessments efficiently create RoPAs, PIAs, and DPIAs, pre-filled with how personal data is collected, used, shared, and stored. They minimize input needed from developers and automatically update assessments after each code scan instead of relying on outdated manual assessments.

Backend Software Privacy

Mitigate privacy risk for all software at scale

Q: What is Auto-Risk Discovery?

Auto-Risk Discovery continuously audits personal data flows for compliance with your privacy policies. It scans your entire codebase to detect new data, flows, and risks after each app update, and prevents privacy risks by triggering reviews before unapproved data flows go live.

Scan all code running backend software to discover personal data flows across applications, databases, and third parties. Ensure compliance with full data visibility and continuous privacy governance.

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Interface showing an Orders API update pushed by a developer, a Privado scan detecting sensitive data processing, and an Issue-212 created and sent to Jira with tasks: alert developer with steps to fix, resolve risk in codebase, and send confirmation to privacy team.

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Identify personal data flows across systems

Autogenerate data maps and assessments

Prevent sensitive data transfers and leaks

Govern data from frontend to backend

Dynamic Data Maps

Monitor personal data across your tech stack

Identify and classify all personal data elements processed by your software. Discover all collections points, processing activities, storage destinations, and third parties. Track flow of each data element across your tech stack in real-time.

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Diagram showing IP Address divided into Sharing (Meta, AppsFlyer, Datadog), Storage (Hotjar), and Logs (2 in console.log).

Auto-Risk Discovery

Implement comprehensive privacy governance

Continuously audit personal data flows for compliance with your privacy policies. Scan your entire codebase to detect new data, flows, and risks after each app update. Prevent privacy risks by triggering reviews before unapproved data flows go live.

Explore Auto-Risk Discovery

Code review issue titled 'Precise location shared to Google Maps' with a policy note restricting sharing sensitive location data linked to PII, and a suggested fix to modify code to prevent sharing precise user location.

Smart Assessments

Autopopulate assessments with real-time data

Efficiently create RoPAs, PIAs, and DPIAs, pre-filled with how personal data is collected, used, shared, and stored. Minimize input needed from developers. Automatically update assessments after each code scan instead of relying on outdated manual assessments.

Explore Smart Assessments

RoPA Report for payment-service showing automated processing details including purpose, data elements, categories, processors, and role with a Download button.

Integrations

Sync to OneTrust and other privacy tools

Centrally manage data maps and assessments in Privado or other privacy tools like OneTrust or TrustArc. Autopopulate and auto-update data maps, assessments, and risks in other tools with accurate, up-to-date information from Privado. Save your teams months of manual data mapping and assessments

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“Privado ensures that our privacy compliance reports match our data flows even as our product evolves.”

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Aleksandra Kovačevićl

Director, Head of Product Trust

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“Privado speaks the language of the engineering department, which creates an interest in the mind of engineers and makes them engage with our assessments.”