Data Governance

Delete on schedule. Prove it on demand.

Redacto maps every data category to its retention rule under DPDP, RBI and your own policies, raises records as they expire and drafts the deletion. An owner approves, legal holds stop the clock, and every deletion leaves evidence.

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Policy
Data
Expiry
Review
Delete
Evidence

Your retention schedule, run by Redacto

Retention periods live in one library, mapped to data categories, the law behind them and the systems that hold the data. When discovery finds a new category, Redacto suggests the rule that should apply. When a record reaches expiry, it is raised for review instead of waiting for someone to remember.

Retention schedules by category and system

DPDP, RBI and business reasons on every rule

Expiry raised before it is missed

Redacto / Retention / Rules
AK
KYC documents after account closure
Rule R-014 · 3 regulations mapped
Active
If
Category is
KYC documents
And
Account status
Closed
For more than
5 years
Then
Delete from source
Approval
4 systems · 12,480 records due in 90 days
Save rule
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Redacto / Retention / Deletion evidence
RS
Deletion evidence log
Export log
Record
System
Rule
Deleted
Approved
Evidence
Record 7456
Core banking
R-014 · KYC
12 Sep 2026
AK
Verified
Record 7457
Shared drives
R-014 · KYC
12 Sep 2026
AK
Verified
Record 8120
Support desk
R-009 · Tickets
Awaiting
RS
Pending
Record 8133
Archive store
R-009 · Tickets
On hold
MN
Legal hold
Record 9002
Marketing store
R-021 · Leads
14 Sep 2026
PD
Verified

Every deletion leaves evidence

Deletion reaches the system that holds the data. Nothing is removed without an owner's approval, legal holds stop the clock, and each deletion is logged with its status, so the audit trail exists before anyone asks for it.

Approval before anything is removed

Legal holds and exceptions

Deletion status and audit trail for each system

What Retention & Deletion covers.

Approval and holds

Approval required before removal, with legal holds that pause it.

Retention schedules

A retention period for every data category, set for each system that holds it.

Regulatory mapping

Each rule names the law or business need behind it, whether DPDP, RBI KYC or your own policy, so the period can be defended.

Stale and duplicate data

Redacto flags old exports, duplicate copies and data with no rule, so you can delete what you should never have kept.

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From policy to deletion.

Redacto does the tracking and the drafting. An owner approves every deletion.

Redacto maps the rule
Redacto raises the expiry
The owner approves or holds
Delete, with evidence
Retention / Queue
AK
Record 7456 · KYC documents
Rule R-014 · Core banking · Account closed 5 years ago
STATUS
Approved · Awaiting deletion
POLICY
EXPIRY
REVIEW
APPROVE
DELETE
Logged deletion for every record
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What teams ask first.

01

Can Redacto delete data on its own?

No. Redacto raises the record and drafts the deletion. An owner approves it, a legal hold overrides it, and the deletion is logged with who approved it and when.

02

What happens when discovery finds something we should not hold?

Redacto matches it to the retention rule for its category and raises it for review. If no rule matches, it goes to the data owner to set one. Nothing is removed until an owner approves, and the approval is logged beside it.

03

Why doesn’t retention happen just because a schedule exists?

Because the schedule lives in a document, and what actually gets deleted depends on whoever remembers. Here the schedule is a rule that Redacto runs.

Where it connects.

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Back to the pillar

Data Governance

Find sensitive data, see where it is exposed, and decide what happens to it.

Explore
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Across to

Data Discovery & Classification

Finds the data each retention rule applies to.

Explore

See what you're keeping that you shouldn't.

Thirty minutes. Bring one system and your retention schedule, and we'll show you what has already passed its date.

Explore products
Book a retention demo

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