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Platform/Run/Runtime Assurance

Prove it works before it reaches production.

Validate an AI environment against your own standards before it goes live, with governed testing, operational evidence and a readiness position you can put in front of a review board.

This capability is called Runtime Assurance
Runtime Assurance
01

Testing AI is treated as optional

Software gets a release process. AI deployments often get a demo and a hope.

02

Readiness is asserted, not demonstrated

Telling a review board it is ready is not the same as showing them why.

03

Nothing catches drift after go live

A system that passed once is assumed to still be passing.

How it works

Test under governance. Then it just runs.

1

Test under governance

Exercise the environment with policy and protection active, not disabled for convenience.

2

Gather operational evidence

Results are recorded as evidence rather than as a screenshot in a slide.

3

Establish readiness

A stated position on whether this environment can be promoted, and what remains if not.

Details

What you get

Testing
Executed with governance enforced, matching production conditions.
Evidence
Results retained as part of the permanent record.
Readiness
Itemized outstanding requirements rather than a single score.
Promotion
Draft to live promotion gated on readiness.
Ongoing
Re-validation after provider, policy or configuration change.

Move past the pilot.

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