When a global financial institution faced an increase in insider threats, they turned to AI-driven User Behavior Analytics (UBA) to strengthen their security posture. This case study explores how CIBRAI implemented UBA to monitor and analyze user activities, detecting anomalies in real-time. Key Outcomes: Proactive Threat Detection: AI identified unusual behavior patterns, preventing potential breaches. …

A leading telecommunications company faced challenges with undetected network anomalies, leading to potential security breaches. CIBRAI's AI-powered Network Anomaly Detection was deployed to enhance their monitoring capabilities. Key Results: Real-Time Detection: AI identified and flagged unusual network activities instantly, preventing potential threats. Improved Accuracy: Significant reduction in false positives, allowing the security team to focus…