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Platform/Govern/Data Protection

Keep sensitive information protected without making AI useless.

Protect confidential data throughout every AI interaction while preserving the business context the work actually depends on. The point is not to hide everything. It is to expose only what the task requires.

This capability is called Data Protection
Data Protection
01

Blanket redaction destroys the answer

Strip too much and the model cannot do the job you deployed it for.

02

Protection applied after the fact is not protection

Once information has reached a model or a vendor log, the control has already failed.

03

Boundaries are assumed rather than enforced

Most teams cannot state precisely what left their environment last week.

How it works

Classify what matters. Then it just runs.

1

Classify what matters

Sensitive fields and record types are identified within your own environment.

2

Protect before exposure

Information is handled before it reaches a model, not corrected afterwards.

3

Preserve working context

Business meaning is retained so the output remains accurate and usable.

Details

What you get

Coverage
Applied across every governed interaction, not per application.
Timing
Enforced before information reaches a model or provider.
Storage
Documents remain in your own environment throughout.
Residency
In region and sovereign deployment supported.
Record
Every protected interaction is logged with what was applied.

Move past the pilot.

Talk to the team that has already put governed AI into production.