DATA RETENTION
Define, Automate, and Enforce Data Lifecycles —
For DPDP Compliance
Set retention policies, track data lifecycles, and automate deletion across systems — with audit-ready visibility that reduces risk and improves governance.
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Empower teams to enforce retention and deletion in line with DPDP requirements
Define retention policies and timelines — across systems, data types, and workflows
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Set retention periods by data category, purpose, and business need across your organization
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Align retention to operational requirements while ensuring data isn’t kept longer than necessary
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Assign owners and enforce policies consistently across teams and systems
Automate deletion, archival, and minimization — with verifiable outcomes
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Trigger policy-based actions when data reaches end-of-life — delete, archive, or anonymize automatically
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Collect deletion confirmations and maintain evidence trails to support audits and internal reviews
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Reduce manual coordination by automating workflows across internal systems and third-party tools
Reduce risk by keeping only what you need — and removing what you don’t
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Minimize stored personal data to reduce breach impact and lower long-term compliance exposure
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Enforce retention consistently across business apps, databases, storage, and third-party processors
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Track execution and keep audit-ready proof of policy enforcement and deletion outcomes
Clear, Consistent, Verifiable.
Data Retention turns policy into practice — helping teams enforce timelines, reduce stored data, and maintain proof of compliant deletion.
Track what should be retained, what should be deleted, and when — with workflow visibility that stays audit-ready without heavy manual effort.
Frequently asked questions
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Data retention is the practice of defining how long personal data is stored and ensuring it is deleted or anonymized once it is no longer required for its purpose. It helps organizations comply with DPDP by reducing unnecessary data storage.
DPDP expects organizations to retain personal data only for as long as it is needed for the specified purpose. Strong retention controls reduce compliance risk and lower exposure in case of incidents.
A retention policy typically includes retention periods for different data categories, conditions for deletion or archival, ownership, and evidence trails for compliance and audits.
By minimizing how much personal data is stored and for how long, retention reduces breach impact, limits misuse, and keeps your systems cleaner and easier to govern.
Yes. Retention can be automated using policy-based workflows that trigger deletion, archival, or anonymization actions across connected systems — with verification and logs.
Discovery finds where personal data exists, mapping shows how it flows across systems, and retention controls how long it is stored and when it must be deleted or minimized.
No. Retention needs ongoing monitoring and updates as systems change, new data types are introduced, and operational requirements evolve.
Organizations should maintain audit-ready evidence like policy definitions, deletion triggers, execution logs, and verification records to demonstrate compliant retention handling.