Running SOC-ML Anomaly in Flighting Mode

Correct Answer: A.

Reference:

The statement "Running a SOC-ML anomaly in flighting mode allows you to run two versions of the same rule in parallel" is true.

SOC-ML (Security Operations Center - Machine Learning) is a system that uses machine learning algorithms to detect anomalies in network traffic and identify potential security threats. The system uses rules to identify these anomalies and alerts security analysts to investigate and remediate the issues.

Flighting mode is a feature in SOC-ML that allows for the testing of new or updated rules before they are fully implemented in production. This mode allows for two versions of the same rule to be run in parallel, one version being the current production version and the other being the updated or new version in testing.

This approach enables security analysts to compare the performance of the new rule against the existing rule and determine whether it will provide better detection accuracy or generate fewer false positives. In addition, it allows for testing of the new rule on a subset of the traffic to ensure it performs as expected before it is deployed to the entire network.

In conclusion, running a SOC-ML anomaly in flighting mode does allow for two versions of the same rule to be run in parallel, making it a useful tool for testing and evaluating the performance of new rules before they are fully deployed.