DPDP Data Discovery — An Enterprise Privacy Control Plane | Qila
For India's financial institutions

DPDP Data Discovery — from visibility to control.

An enterprise privacy control plane that continuously knows where personal data lives, why it's used, and whether every use is lawful.

Regulatory readiness

DPDP compliance with defensible, continuous privacy controls.

Operational precision

Eliminate manual discovery friction and accelerate rights handling.

Customer trust

Prove every data use is purposeful and lawful.

The problem

Personal data flows continuously. Most financial institutions can't see it.

01

Where is data flowing?

Blind spots in unstructured data, third-party systems, and cloud environments stay invisible to governance teams.

02

Why does it exist?

Consent-purpose disconnects, unclear retention justification, and poor lineage make lawful processing unverifiable.

03

Can we still use it?

No real-time visibility into retention violations, over-shared repositories, or compliance drift across systems.

DPDP compliance is not a one-time project — it's a continuous operating model.
Why this now

From catalogues to control planes

Traditional data catalogues
Snapshot-based asset inventory
Manual classification and tagging
No linkage to consent or purpose
No enforcement capability
Periodic, not continuous
Privacy control plane
Continuously knows where personal data lives
Tracks why data is used and by whom
Links every data element to a lawful basis
Enforces retention and deletion automatically
Produces audit-ready evidence on demand
The challenge

Structural DPDP failure modes

Fragmented legacy + cloud architecture

Personal data scattered across CBS, CRM, data lakes, SaaS tools, and third-party processors with no unified visibility.

Weak metadata & consent-purpose gaps

Data collected for onboarding reappears in analytics and marketing without traceable consent. Purpose drift is invisible.

Unstructured data blind spots

KYC documents, call recordings, email threads, and shared drives contain dense personal data no structured catalogue can reach.

Overlapping retention obligations

RBI, SEBI, IRDAI, and DPDP impose conflicting retention timelines. Banks can't distinguish legal retention from business convenience.

The platform

Five services. One integrated control plane.

Connector Space

Universal integration across 50+ data sources — on-prem, cloud, SaaS, endpoints, APIs.

Source Inventory

Live, centralised catalog with metadata, connectivity status, and asset health.

DIAS

Continuous incremental scanning, normalization, and intelligent data preparation.

RAID Agent

AI/ML detection of personal data — Indian formats, risk tagging, real-time classification.

Reports & Insights

Compliance reports, audit trails, DPDP rights fulfillment, and regulatory evidence.

No policy without evidence.  ·  No access without purpose.  ·  No governance without automation.
Product deep dive

What each service does

Connector Space

Universal integration layer

  • On-premises databases & legacy systems
  • Cloud platforms (AWS, Azure, GCP)
  • SaaS apps & collaboration tools
  • Email archives, file shares, APIs

Source Inventory

Live data asset registry

  • Asset discovery — auto-cataloged sources
  • Metadata & lineage tracking
  • Continuous registry refresh

DIAS

Data ingestion & assembler system

  • Scanning modes — batch & streaming
  • Schema-aware ingestion
  • Normalization & deduplication

Scan Engine (RAID Agent)

AI/ML intelligence core

  • Pattern detection: regex, fuzzy, ML
  • Indian formats: Aadhaar, PAN, IFSC
  • Risk classification (H/M/L)
  • Sub-ms latency, 99.9% accuracy

Reports & Insights: compliance evidence engine

Compliance reporting

DPDP compliance reports, ROPA generation, regulatory reporting.

Rights fulfillment

Automated DSAR, correction workflows, erasure workflows.

Audit & evidence

Audit trail logging, compliance output, immutable history.

Dashboards

Compliance dashboard, discovery metrics, risk visualization.

Architecture

Five stages of data discovery

01

Connect

Universal connectors across all data surfaces.

02

Classify

AI/ML detection and enrichment of personal data.

03

Trace

Lineage mapped to consent and purpose.

04

Enforce

Policy-driven access, retention, and deletion.

05

Audit

Evidence-grade compliance output on demand.

Discovery feeds metadata → Metadata enriches lineage → Lineage feeds policy → Policy controls enforcement → Enforcement produces audit evidence

AI engine

InfaLENS: autonomous governance engine

Beyond discovery — the AI assistant that governs data 24/7 across your entire ecosystem.

  • Real-time detection

    Millisecond latency, auto-tagging, anomaly flagging.

  • Intelligent classification

    AI/ML tagging, format detection, risk-based labels.

  • Continuous learning

    Accuracy improvement, format adaptation, false-positive reduction.

  • Autonomous governance

    Policy execution, rights fulfillment, audit generation.

  • Downstream integration

    DLP, IAM, and masking system feeds in real time.

The strategic shift
// Legacy // InfaLENS
Manual
Automated
Slow
Real-time
Error-prone
Defensible
Reactive
Proactive
Business value

Measurable outcomes that transform your posture

80%
Reduction in manual discovery effort
72hr
Rights request SLA achieved
100%
Audit trail coverage

Operational value

  • Eliminate ROT data — reduce storage and exposure
  • Enforce retention timelines automatically
  • Reduce manual interventions in audit cycles
  • Accelerate data minimisation across workflows

Executive payoff

  • Faster product decisions with trusted data
  • Safer analytics — purpose-bound data access
  • Fewer regulatory exceptions & fire drills
  • Lower reputational exposure & regulator confidence
Impact

From liability to competitive advantage

Risk reduction

  • Eliminates blind spots in personal data exposure
  • Prevents over-retention and over-deletion
  • Transforms compliance from cost center to control mechanism

Operational efficiency

  • 70% reduction in manual discovery effort
  • 10x faster DPDP rights request fulfillment
  • Automated governance eliminates manual delays

Strategic advantage

  • Customer trust through transparent data practices
  • Privacy-by-design culture across the organization
  • Competitive differentiation in regulated markets

Financial impact

  • 90-day compliance readiness (vs 12–18 months)
  • Ongoing savings from reduced manual effort
  • Quantifiable risk mitigation & avoided penalties
Get in touch

See your entire data estate discovered, classified, and governed.

Talk to us about deploying DPDP Data Discovery as a continuous privacy control plane across your institution.