IG1411 Anomaly Management API Enhancements to Support Causal Analysis v1.0.0
- Maturity level: Alpha
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Created By: AI Closed Loop Automation Project
This guidebook examines the necessary enhancements for the Anomaly Management API to effectively support causal analysis. Causal analysis is typically conducted post-anomaly detection and aids in uncovering the root cause, assessing potential impacts, and assigning appropriate priority levels based on the severity of the impact. Although the report primarily focuses on anomaly root cause analysis, the underlying principles can be extended to meet broader causal analysis needs, such as those planned for the dedicated Root-Cause Analysis component within the Open Digital Architecture (ODA).
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