Property reference

sn_compliance.cal_score_by_weighted_control

The sn_compliance.cal_score_by_weighted_control property enables the use of a weighted control average for calculating compliance scores. This affects how compliance is assessed for citations, impacting the compliance posture displayed for authority documents and policies.

Default
true
Type
boolean
Application
GRC: Policy and Compliance Management

Key questions about this property

The answers below summarize the purpose, scope, default effect, and review scenarios for this property.

What does it do? It configures the calculation method for compliance scores by allowing weighted averages instead of flat averages, influencing the accuracy of compliance assessments.
What area does it affect? GRC: Policy and Compliance Management
What does the default mean? The default value is "true", which means this behavior is enabled by default.
When should you review it? Review this property when adjusting compliance scoring methods or assessing compliance posture accuracy.

Out of the box property record

Raw metadata from the property record.

Property name sn_compliance.cal_score_by_weighted_control
Sys ID 7500be53d7700300bbc783e80e61039e
Type boolean
Application GRC: Policy and Compliance Management
Default value true
Description Use weighted control average when calculating compliance scores
Updated 2026-04-20 07:54:22

Sources

Official references and nearby text excerpts where this property appears.

Context preview Snippet 1
... formula, do the following: 1. Navigate to All > AI Risk and Compliance > Policy & Compliance Administration > Properties. 2. Set Use weighted control average when calculating compliance scores (sn_compliance.cal_score_by_weighted_control) to Yes to weight controls when averaging a citation's compliance score instead of using a flat average. For the weighted and flat average calculations, see Compliance score calculation for a ...

More in sn_compliance

Other properties in the same namespace.

All 28 properties in sn_compliance →