This rule is designed to detect significant increases in successful user authentications within a defined period. Specifically, it triggers an alert if the rate of successful sign-ins increases by 10% or more compared to a baseline. This measurement acts as a potential indicator of abnormal user behavior, which could signify unauthorized access or compromise, especially in environments experiencing unusual activity or changes. The detection mechanism uses Azure signin logs, analyzing the status of sign-in attempts, and counts the number of successful logins, specifically monitoring for fluctuations that exceed the set threshold. Additionally, the rule accounts for legitimate scenarios such as increases in user activity due to onboarding or business expansion, categorizing these cases as false positives to reduce unnecessary alerts. The overall intent is to bolster monitoring efforts for suspicious sign-in patterns, thereby enhancing security operations pertaining to user accounts.