Logs and retention are a quiet DPDP risk: application logs often contain personal data, logs are kept far longer than needed, and primary data has no expiry. The DPDP Act expects storage limitation — not keeping personal data longer than necessary — and reasonable security. This checker rates whether your logging and retention practices are DPDP-aligned and what to fix.
Check whether your logs and data retention align with the DPDP Act's storage-limitation expectation.
Two patterns quietly undermine DPDP storage limitation: personal data written into application logs (then kept for months), and primary tables that never expire. Both keep personal data far longer than its purpose requires, expand breach impact, and complicate erasure.
The fixes are engineering hygiene: redact personal data from logs, set finite log retention, and apply TTLs or scheduled deletion to data stores. This checker shows where you stand.
Log-redaction patterns, sensible retention defaults, and a TTL/scheduled-deletion approach for data stores.
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