Data Retention Monitoring uses AI to enforce retention schedules, enabling lower data-compliance risk, by continuously monitoring assets, retention rules, and access activity, across data lifecycle and records management.
Retention rules require data to be kept and deleted on schedule, but enforcement across sprawling stores is manual and partial. Over-retained personal data and premature deletions create regulatory exposure that goes unnoticed.
The AI provides continuous monitoring of data assets, retention rules, storage metadata, and access activity, raising alerts when assets breach retention or deletion schedules.
Reduces the retention exception count and shortens time to remediate over-retained or wrongly deleted data.
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