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PramaanDPDP Live
Sensitive identity verificationConsent requiredSandbox fixture data

Verify Aadhaar signals with consent-first, privacy-aware PRAMAAN.

Use Aadhaar as a high-sensitivity identity signal inside a workflow designed around explicit consent, masking, data minimization, and audit-ready review.

Live check
₹99
Data display
Masked only
Consent
Required
Sandbox
No real PII

Masked Aadhaar preview

No full Aadhaar number in page copy or sample reports.

Purpose-limited

Requester, reason, and consent are captured before live checks.

Sandbox safe

Fixture data only; no real Aadhaar is processed in demo mode.

How verification works

A consent-first path from request to reviewable result.

1

Create a purpose-led request

Choose Aadhaar, state the reason for verification, and invite the subject or enter fixture data in sandbox.

2

Capture explicit consent

The data principal sees the requester, purpose, and check type before any live verification starts.

3

Run the verification rail

PRAMAAN evaluates document signals and match evidence while keeping sensitive values minimized.

4

Review the report

Teams receive a masked, timestamped result with consent reference, signals, and review guidance.

What PRAMAAN checks

Aadhaar signals built for reviewer decision support.

Aadhaar should be handled as sensitive identity data. PRAMAAN presents only bounded verification signals.

Masked Aadhaar reference

Shows only a masked identifier or last-four style reference in reports.

Identity match signals

Supports reviewer comparison of name and identity attributes where available in the configured workflow.

DOB / gender signals

Surfaces these only when supported by the live rail and consent scope.

Address signal

Can support address comparison without treating the document as a blanket legal conclusion.

Consent evidence

Links the result to requester, purpose, timestamp, and consent reference.

Manual review flag

Mismatches, stale context, or insufficient evidence are marked for human review.

Why this document matters

Why Aadhaar needs a stricter trust layer

Aadhaar can unlock strong identity workflows, but it also creates privacy and misuse risk when copied casually.

Sensitive PII requires minimization

Consent must be explicit and auditable

Masked reporting protects downstream reviewers

Use cases

Designed for individuals, operations teams, and enterprise reviewers.

Employee onboarding

Identity signal for consented hiring and contractor workflows.

Household worker verification

Structured alternative to sharing raw Aadhaar photos in chat.

Marketplace onboarding

Embedded identity step for sellers, providers, or earners.

Financial services intake

A consented identity signal alongside other KYC workflow steps.

Consent and DPDP guardrails

Aadhaar data minimization by default

PRAMAAN should avoid exposing full Aadhaar values and keep sandbox testing separate from live PII workflows.

Explicit consent required

Masked report preview

Purpose and requester logged

Sandbox fixture data only

Sample report preview

Masked, specific, and designed for human review.

Every preview uses dummy sandbox data, a consent reference, a timestamp, document-specific signals, and bounded report language.

Sample sandbox report — no real PII

Aadhaar identity signal

Reviewable match
Document reference
XXXX-XXXX-1234
Consent reference
CNS-AAD-DEMO-2048
Timestamp
24 May 2026, 10:42 IST
Masked AadhaarDisplayed
Name signalMatched
DOB signalAvailable if supported
Address signalReviewable

Sample sandbox report — no real PII. Full Aadhaar numbers are never shown in this preview.

Risk and limitation signals

Clear flags for what needs review.

Full-number exposure

Avoid storing or displaying full Aadhaar values in reviewer surfaces.

Consent mismatch

Do not run checks where requester purpose is unclear or consent is missing.

Attribute mismatch

Name, DOB, or address differences should trigger review, not automatic rejection.

Pricing and CTA

Start with one consented Aadhaar signal check.

Use sandbox first, then run a live verification where your workflow and consent language are ready.

Single live verification

₹99

Aadhaar
  • Masked report preview
  • Explicit consent required
  • Audit-ready consent reference
  • Sandbox fixture mode
Enterprise and API

Aadhaar verification for enterprise identity workflows

Developer and compliance teams can evaluate consent screens, result shapes, and webhook-ready reporting before live rollout.

Hosted flow or API-first integration

Purpose-led consent trails

Masked downstream reporting

Manual review paths

Related verification documents

Combine this check with the right adjacent signals.

Explore all checks
FAQ

Aadhaar verification questions.

Can PRAMAAN run a Aadhaar check without consent?

No. Live checks require explicit consent from the data principal before processing begins.

Can I test this without real personal data?

Yes. The sandbox demo uses fixture data only and does not require real PII.

What happens on a mismatch?

PRAMAAN surfaces the mismatch as a verification signal and recommends manual review where the evidence is incomplete, stale, or inconsistent.

Is the report a legal conclusion?

No. Reports provide verification signals and consent evidence for reviewer decision support. They should not be treated as a guaranteed legal outcome.

Does PRAMAAN show the full Aadhaar number?

No. Sample reports and reviewer surfaces should show masked Aadhaar references only.

Does this imply UIDAI endorsement?

No. This page does not claim UIDAI endorsement or certification.

Consent-first verification

Start a Aadhaar verification with PRAMAAN.

Use sandbox fixture data first, then run a live ₹99 verification when the requester, purpose, and consent path are ready.