AI in Behavioral Analytics for Cyber Attack Detection

AI-driven behavioral analytics detect threats by analyzing user and system behaviors. These models establish baselines for normal activity and flag deviations indicative of cyber attacks.

Behavioral Analytics Components:

• Entity Behavior Analytics (EBA): Detects abnormal actions in systems and networks.
• User Behavior Analytics (UBA): Identifies insider threats based on unusual user activity.
• AI-Driven Risk Scoring: Assigns risk levels to activities based on anomaly scores.
• Peer Group Analysis: Compares user behavior within similar roles to detect outliers.

Use Cases:

• Detecting account takeovers in cloud environments.
• Identifying unusual data access in enterprise networks.
• Preventing privilege escalation attempts by attackers.