Data Privacy · Module 03
You cannot protect, redact, erase or report on what you have not found. Discovery locates and classifies personal and sensitive data across the entire estate.
Primary DPDP sectionsSec. 8(3), 8(7)
1,148
Documents scanned in a single run
546
Actionable findings, not raw inventory
6
Frameworks scored in parallel
Figures illustrative.
How it works
A continuous pipeline replaces the stale inventory: find, parse, classify and reason over every document in the estate, on a schedule rather than on a project plan.
01
Scheduled and event-triggered scans across connected sources
02
Structured, semi-structured and unstructured stores
03
Documents, images and free text made readable
04
Heuristic, neural and consensus layers score each candidate
05
Context-aware reasoning with provenance retained
06
Actionable findings and per-framework posture
Output is what needs action, not an inventory nobody reads — and every finding carries the chain that produced it.
Capability
Continuous scanning of structured and unstructured sources, with automated classification and ongoing monitoring rather than a one-off inventory.
Models that confirm sensitive data with high precision and adapt as new data patterns and regulatory definitions emerge.
Invalid and stale elements are flagged and corrected, and every scan leaves a detailed audit trail.
A live catalogue that answers "where is this person's data?" as a query — which is what makes every rights, erasure and breach obligation achievable inside its clock.
DPDP alignment
What the Digital Personal Data Protection Act, 2023 requires, and the control that satisfies it.
| Section | What the Act requires | How the product satisfies it |
|---|---|---|
| Sec. 8(3) | Ensure completeness, accuracy and consistency of personal data where it is used to make a decision affecting the Principal or is disclosed to another Data Fiduciary. | Discovery maps every copy of an attribute across the estate and flags divergence between them, so accuracy is measured against all copies rather than the system of record alone. |
| Sec. 8(7) | Erase personal data on withdrawal of consent or when the purpose is no longer being served, unless retention is legally required. | The catalogue returns every store holding a given Principal's data, so erasure runs against a complete list — and the completeness itself is evidenced rather than assumed. |
| Sec. 5 | Notice must itemise the personal data being collected — which requires knowing what is actually collected. | Discovery reconciles the data declared in notice against the data actually present, surfacing collection that no notice covers. |
| Sec. 11–12 | The Principal may obtain a summary of personal data held and processing activities, and may request correction, completion, updating and erasure. | Access and correction resolve against a live, identity-resolved catalogue instead of a manual hunt across systems and owners. |
| Sec. 8(6) | Breach intimation must reach every affected Data Principal. | When an incident is scoped to systems, the catalogue converts that into the exact list of affected Principals — turning notification from an investigation into a query. |
Erasure and accuracy failures sit in the ₹50 Cr residual band, but the greater exposure is derivative: without discovery, Sec. 8(6), 11 and 12 all become undeliverable inside their statutory windows.
Solutions by industry
The sectors carrying the most DPDP exposure for this control, each with its own threat model and regulators.
A DPDP readiness walkthrough maps your obligations to the controls that already exist, and names the gaps that do not.
