Detecting Abnormal AI Usage Across Enterprise AI Systems

AI usage can vary significantly between departments, applications, users, and workloads, making context important when evaluating unusual activity. Organizations can establish normal patterns based on roles, access schedules, request volumes, and business requirements. With abnormal ai usage detection, security teams can identify activity that differs from these established patterns and determine whether further investigation is necessary. AGAT Software supports organizations in developing practical approaches for improving AI security visibility and response. Combining behavioural information with identity, access, and application data can provide better context while reducing unnecessary alerts. Regular testing and baseline reviews help detection strategies remain effective as legitimate usage changes. 
Learn more: https://thewion.com/read-blog/234554_identifying-unusual-activity-across-ai-applications.html