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

What critical component does Cortex XDR utilize to analyze endpoint data?

1. Security information and event management

2. Data lake

3. Threat intelligence platform

4. Machine learning algorithms

The correct answer is: Machine learning algorithms

Cortex XDR employs machine learning algorithms as a critical component to analyze endpoint data. Machine learning algorithms are essential for processing vast amounts of data quickly and efficiently. They enable the detection of patterns and anomalies that may indicate potential security threats. By leveraging these algorithms, Cortex XDR can identify risks and respond to incidents with increased accuracy and speed. In the context of endpoint security, machine learning plays a pivotal role in distinguishing between normal and suspicious behaviors. It allows the system to adapt and improve its predictive capabilities over time, which enhances the overall security posture by proactively identifying threats before they can cause harm. This focus on machine learning sets Cortex XDR apart from more traditional approaches that may rely heavily on predefined rules or static definitions of threats. Through continuous learning and adaptation, it can provide more dynamic and effective protection against a wide range of cybersecurity threats.