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Governance Controls

The individual, assessable requirements that make up a policy.

Included on the Enterprise plan. Book a demo, opens in a new tab. Not included on the Team plan. Not included on the Starter plan. Not included on the Free plan.

What are controls?

A control is a single, measurable requirement that is automatically assessed against the real state of a project. Controls are grouped into governance policies and determine whether each policy is passing or failing.

A policy passes when all controls above Low importance resolve to PASS. A Low-importance control can resolve to FAIL, ERROR, or NO_DATA without causing the policy to fail.

Every assessment resolves to one of four statuses:

StatusMeaning
PASSThe requirement is satisfied.
FAILThe requirement is not satisfied.
ERRORThe assessment couldn't run, usually due to a misconfigured control.
NO_DATAThere was no data to assess in the evaluated window.

Importance

Use a control's Importance setting to communicate how seriously a failure should be treated and whether it should block a deployment gate. Through the public API, this setting is the control's severity field.

ImportanceUse it for…
CriticalRequirements whose failure represents the highest-priority risk
HighImportant requirements that need prompt attention
MediumStandard governance requirements with moderate impact
LowAdvisory requirements that should be tracked without blocking deployment
Not setControls that don't need an importance classification

Control types

There are four control types, each assessing a different part of your AI lifecycle.

Versioning

Controls are versioned. Each time you change a control's configuration, a new version is appended to its history. Assessments always run against the latest version, while older versions remain available for audit purposes.

Next steps

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