Every copy is searchable
Each extra copy is one more file a copilot can surface or an attacker can take.
Data Hygiene
Less data for AI to find.Less data for attackers to take.
Years of copies, exports and abandoned stores are now one prompt away. Sentra pinpoints redundant, obsolete and unowned sensitive data so you can delete, archive or lock it down, and cut storage spend along the way.
Sprawl was a storage problem.AI made it a security problem.
Copies multiply exposure
Production data cloned into dev, test and analytics adds risk without adding value.
Stale data keeps you in scope
Old sensitive records stay subject to breach notice and retention rules long after their use ends.
No owner, no deletion
Without a clear owner, nobody signs off, so nothing gets removed.
Clean up with evidence, not guesswork
Find redundant and duplicate data
Similarity analysis identifies copies of sensitive datasets across accounts, regions and clouds, and shows which one is the source of record.
Surface stale and orphaned data
Flag sensitive data untouched for 12 months, orphaned snapshots, unattached volumes and stores whose owner has left the company.
Put a price on sprawl
See the storage and compute cost of every redundant or stale dataset, so cleanup has a business case.
Enforce retention by sensitivity
Apply lifecycle and storage-class policies based on what the data is, how sensitive it is and when it was last used.
Every finding gets a clear disposition
Delete
Redundant copies, once the source of record is confirmed.
Archive
Data you must retain, moved to low-cost storage.
Move
Data in a costly storage tier or the wrong account.
Keep
Data with a business reason, recorded so it doesn't resurface.
Avoided cloud spend
Databases retired
$375K /yrShadow data visibility reclaims 1.5% of cloud spend
110By one customer, worth $1.1M per year in storage and compute
Sentra finds five kinds of data AI should not use
FindingWhat it looks like
Shadow dataOrphaned snapshots, unattached volumes, ghost backups
Redundant dataCopies across clouds, warehouses and SaaS
Obsolete dataNo reads, still sitting in high-cost storage
Toxic combinationsName, national ID and payment field in one table
Misplaced dataSensitive data in the wrong region or workspace