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
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
Per-request workflow
EchelonGraph integrates with DSR platforms
🔗 Cross-Framework References
Automate DPDP Act DPDP-4 compliance
EchelonGraph continuously monitors this control across all your cloud accounts.
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