Automated Data Lineage
for Real-Time Data Flow Intelligence
Know where personal data originated, where it flows, how it transforms, and which privacy obligations are
triggered as it moves across your enterprise.
The Challenge
The Visibility Gap: When Personal Data Moves Beyond Governance
The challenge isn't simply knowing where personal data is stored. It is maintaining a
real-time understanding of how it moves, changes and is used across the enterprise.
When Data in Motion Becomes Invisible
Personal data continuously moves across applications, APIs, cloud environments, business units, third parties and AI systems. Organisations often cannot determine where sensitive data is flowing, who receives it or whether it crosses organisational or geographical boundaries.
When Processing Context Is Lost
As personal data is transformed, enriched, combined and reused, organisations lose visibility into why it is being processed, whether its use remains aligned with the intended purpose and which privacy obligations continue to apply.
When Static Lineage Falls Behind
New applications, integrations, vendors, APIs and AI initiatives constantly change data flows. Point-in-time discovery and static lineage quickly become outdated, leaving processing inventories, DPIAs, transfer assessments and governance records incomplete.
Privy’s Privacy-Enhancing Technologies
Your Command Center for Real-Time Data Flow Intelligence
Automatically map how personal data moves, transforms, and is consumed across applications,
cloud environments, databases, third parties, and AI ecosystems.
Build Complete Data Context
Understand the complete profile of every personal data asset.
Map End-to-End Personal Data Flows
Maintain an automatically updated view of how personal data moves across the enterprise.
Trace Personal Data at Field Level
See exactly which personal data categories are moving and where they are going.
Connect Processing and Governance Context
Correlate every data flow with the processing activity and privacy obligations that apply.
Connecting Automated Data Lineage
Across Every Governance Workflow
Privy connects real-time data flow intelligence with privacy, security and AI governance to maintain accountability throughout the personal data lifecycle.
Track what personal data each third party receives and whether sharing aligns with contractual obligations.
Pre-populate DPIAs with systems, data categories, processing activities and cross-border transfers.
Identify affected systems, personal data, third parties and data principals during an incident.
Monitor what personal data reaches AI systems and detect unexpected exposure of sensitive data.
Meet the AI Compliance Copilot: The Intelligence Behind Every Data Flow
Privy’s AI Compliance Copilot uses the Context Graph to maintain a real-time view of personal data – what it is, why it exists, where it flows, who accesses it, and which obligations apply.
Identify where personal data originated and which applications process it.
See which users, systems and third parties access or receive it.
Detect cross-border transfers and personal data entering AI systems.
Trace transformations, downstream dependencies and high-risk flows.
Enabling DPOs and CISOs with Continuous Data Flow Intelligence
Reduce Third-Party Blind Spots
Know exactly what personal data is being shared, which vendors receive it, and whether data-sharing patterns change.
Govern Cross-Border Transfers
Continuously understand where personal data moves across jurisdictions and which transfer obligations apply.
Understand Your Data Flow Risk Posture
Assess how personal data moves across the enterprise and identify high-risk flows requiring immediate attention.
Accelerate Incident Response
Instantly identify affected systems, personal data categories, third parties, business processes and potentially impacted data principals.
Govern AI With Confidence
Understand and control how personal data reaches AI applications, models and third-party AI ecosystems.
Demonstrate Accountability
Maintain continuously updated, audit-ready evidence of data flows, processing activities and governance decisions.
Reduce Third-Party Blind Spots
Know exactly what personal data is being shared, which vendors receive it, and whether data-sharing patterns change.
Govern Cross-Border Transfers
Continuously understand where personal data moves across jurisdictions and which transfer obligations apply.
Understand Your Data Flow Risk Posture
Assess how personal data moves across the enterprise and identify high-risk flows requiring immediate attention.
Accelerate Incident Response
Instantly identify affected systems, personal data categories, third parties, business processes and potentially impacted data principals.
Govern AI With Confidence
Understand and control how personal data reaches AI applications, models and third-party AI ecosystems.
Demonstrate Accountability
Maintain continuously updated, audit-ready evidence of data flows, processing activities and governance decisions.
Trusted by India’s Leaders in Privacy and Compliance
Enterprises across BFSI, fintech, and digital commerce trust Privy to keep their data, consent, and compliance under control.
Frequently Asked Questions
Automated data lineage continuously maps how data moves from its source to downstream applications, APIs, databases, third parties, and AI systems. It records where data originated, how it was transformed, where it was sent, and how it is used.
Static data lineage provides a point-in-time view that can become outdated as integrations and systems change. Automated data lineage continuously detects new flows, destinations, transformations, and processing activities to keep lineage records current.
Field-level data lineage traces individual data elements, such as a mobile number, Aadhaar identifier or email address, across systems. It shows where the field originated, how it was transformed, and which applications, vendors or AI systems receive it.
Privy connects data discovery, classification, processing context, and runtime flow intelligence. It maps personal data across applications, APIs, cloud environments, third parties and AI ecosystems while linking each flow to its purpose and applicable obligations.
Automated data lineage helps organisations understand how personal data is collected, processed, shared, transformed and transferred. This supports purpose limitation, DPIAs, incident investigation, third-party governance and accurate Records of Processing Activities (RoPAs).
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