🇮🇳DPDP Act DPDP-4Rule: DPDP-004medium

Data Accuracy

Description

Data fiduciary must take reasonable steps to ensure data is accurate, complete, and consistent.

⚠️ Risk Impact

Inaccurate data + slow correction produce DPDP liability + downstream business impact.

🔍 How EchelonGraph Detects This

DPDP-004Automated scanner rule

EchelonGraph's Tier 1 Cloud Scanner automatically checks for this condition across all connected cloud accounts. Violations are flagged as medium-severity findings with remediation guidance.

🔧 Remediation

Self-service correction. Cascade to downstream caches + analytics. Documented correction request workflow.

💀 Real-World Attack Scenario

A user requested credit data correction. Primary DB updated; scoring cache wasn't. User denied credit again. DPDP penalty: ₹15 crore.

💰 Cost of Non-Compliance

Accuracy violations: ₹10-₹50 crore.

📋 Audit Questions

  • 1.Correction request workflow?
  • 2.Cascade to caches?
  • 3.SLA tracking?

⚡ Common Pitfalls

  • Correcting primary but not derived data
  • SLA exceeded

📈 Business Value

Compliant correction reduces both regulatory + customer friction.

⏱️ Effort Estimate

Manual

Per-request workflow

With EchelonGraph

EchelonGraph integrates with DSR platforms

🔗 Cross-Framework References

GDPR-Art16

Automate DPDP Act DPDP-4 compliance

EchelonGraph continuously monitors this control across all your cloud accounts.

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