Personal Data Discovery
Identify personal data across databases, files, APIs, CRMs and cloud systems.
Map personal data across products, systems, vendors and customer journeys.
Identify gaps across consent evidence, purposes, RoPA, DPIA triggers, vendor governance and retention.
Generate structured DPDP outputs including data inventory, data-flow maps, processor register, risk heatmap and audit evidence checklist.
Discovery Studio helps enterprises discover personal data across structured and unstructured sources, map it to purposes and processing activities, and generate DPDP-ready outputs for RoPA, DPIA, vendor governance, retention and audit evidence.
Identify personal data across databases, files, APIs, CRMs and cloud systems.
Classify KYC, financial, health, contact, identity and behavioural data.
Create a live catalogue by source, category, owner and review status.
Scan structured and unstructured enterprise data across databases, CRMs, APIs, cloud storage, PDFs, spreadsheets, documents and internal systems.
Classify DPDP-relevant fields such as Aadhaar, PAN, DOB, contact details, financial records, health data, device IDs and behavioural data.
Create a validated data inventory for RoPA, DPIA, vendor governance, retention review and audit evidence.
Connect personal data to its source, purpose, system, workflow and processor.
Visualise how structured and unstructured data flows across databases, APIs, CRMs, cloud storage, documents, teams and vendors.
Use the mapped lineage to support RoPA, DPIA, vendor governance, retention review and audit evidence.
Define retention rules for each data category, purpose, workflow and processing activity.
Identify where personal data is being retained without a clear purpose, expiry trigger, deletion owner or legal retention basis.
Create deletion-readiness outputs for retention review, withdrawal impact, vendor deletion obligations and audit evidence.
OpenBlockAI brings unified AI-driven compliance to your entire financial ecosystem - powered by real-time detection, global pattern intelligence, and privacy-preserving collaboration across networks.
Discover personal data across every source, map it to purposes and lineage, and generate DPDP-ready outputs for RoPA, DPIA, vendor governance and audit evidence.
Create purpose-based consent policies, collect granular permissions, and maintain audit-ready consent logs with validity, history, and easy API integration across apps, vendors, and customer journeys.
Vault, tokenise, and govern PII with enterprise-grade encryption and access control - purpose-built for privacy-first data infrastructure across networks.
OpenBlockAI gives modern regulated businesses one infrastructure layer for consent governance, sensitive data protection, and real-time risk control-built with AI-led intelligence and blockchain-grade auditability.
For a walkthrough of DPDPA Readiness Assessment, Consentica, Privault and OpenBlockAI’s real-time compliance infrastructure, connect with our team.