Palo Alto Networks (PANW) Certified Cybersecurity Entry-level Technician (PCCET) Practice Exam

What security technology can a SOC team use to identify anomalous behavior indicative of attacks?

1. Endpoint security analytics

2. Behavioral analytics

3. Malware analytics

4. Honeypot analytics

The correct answer is: Behavioral analytics

Behavioral analytics is a security technology that SOC teams commonly use to identify anomalous behavior that may indicate potential attacks. This approach involves analyzing patterns in user activity and system behavior to establish a baseline of what is considered "normal" for a particular environment. When deviations from this baseline occur, behavioral analytics can flag these anomalies for further investigation. The utilization of behavioral analytics allows SOC teams to detect subtle signs of compromise that traditional security measures might overlook. For instance, if a user typically accesses certain files during standard business hours but suddenly begins accessing sensitive information late at night, this behavior may warrant further scrutiny. This technology focuses on identifying unusual patterns that might signify internal threats, compromised accounts, or other forms of cyberattacks. By leveraging machine learning and advanced algorithms, behavioral analytics enhances the ability to detect and respond to threats in real-time. Endpoint security analytics, while important for securing devices, primarily focuses on monitoring and analyzing endpoint data rather than anomalous behavior. Malware analytics focuses specifically on detecting and analyzing malicious software, which is a narrower scope than what behavioral analytics encompasses. Honeypot analytics simulate attacks in a controlled environment to study malicious behavior but do not actively monitor legitimate user actions for anomalies. Thus, behavioral analytics stands out as the most suitable technology for identifying