For services such as ThreatCast, event classification and context determine usefulness. The number of observed events is not a direct measure of prevented business loss.
Evaluation approach
Events produced by application controls feed central visibility. Evaluate SIEM or fraud-system integration against event schemas and correlation needs.
Application example
Break down increased interference events by release and device group before concluding that attacks increased.
Limits and considerations
A dashboard does not itself establish enforcement or complete event delivery.
From dashboards to investigation
Interpret event growth alongside active users, transaction volume and release distribution. A new rule generating more events can resemble an attack increase. Correlate rule and application versions.
Review central-system permissions, retention and exports. Measure event delay from application to dashboard. Define how decisions based on incomplete data are marked and which events proceed to investigation.
Checks and decisions
- Measure event delivery
- Include policy versions
- Assign an operational owner
Measure value by sound decisions supported, rather than data volume collected.
Sources
The primary references above provide the technical basis. Example workflows and evaluation suggestions are this publication’s explanations, not independent test results for a particular product.