Rules in the machine based learning anomaly detection in the MindBridge AI Auditor "if yes, then this”. They are specifically geared to check a use-case. If something falls outside of the scope because the rule was not geared to catch it, it’ll go unnoticed. Think of it this way, if I told you to only pay attention to tell me how many people in red shirts came into the store today, you’re only going to report back the number of red shirts while ignoring every other coloured shirt.
See our complete set of financial analytics that use machine based learning anomaly detection.
