What is the goal of behavioral analytics in cybersecurity?

What is the goal of behavioral analytics in cybersecurity?

• A. To optimize organizational workflows
• B. To analyze user actions and detect anomalies
• C. To enhance user interface design
• D. To manage financial resources

Answer: (B)

Behavioral analytics in cybersecurity focuses on analyzing user actions and detecting anomalies that could indicate security threats or breaches. By leveraging data collected from user interactions with systems and applications, behavioral analytics allows organizations to establish a baseline of normal activity for users. When actions deviate from this baseline, it may signal suspicious behavior, such as potential insider threats, account compromises, or unauthorized access attempts. This proactive approach enhances security by enabling timely detection and response to potential threats, safeguarding sensitive information, and maintaining the integrity of systems. In contrast, optimizing organizational workflows, enhancing user interface design, and managing financial resources do not directly pertain to the primary goal of identifying and responding to security-related anomalies in user behavior.

Behavioral analytics in cybersecurity focuses on analyzing user actions and detecting anomalies that could indicate security threats or breaches. By leveraging data collected from user interactions with systems and applications, behavioral analytics allows organizations to establish a baseline of normal activity for users. When actions deviate from this baseline, it may signal suspicious behavior, such as potential insider threats, account compromises, or unauthorized access attempts.

This proactive approach enhances security by enabling timely detection and response to potential threats, safeguarding sensitive information, and maintaining the integrity of systems. In contrast, optimizing organizational workflows, enhancing user interface design, and managing financial resources do not directly pertain to the primary goal of identifying and responding to security-related anomalies in user behavior.