Palo Alto Networks Exam PSE-Strata-Pro-24 Topic 3 Question 13 Discussion

To answer this question, let's analyze each Cloud-Delivered Security Service (CDSS) subscription and its role in inline machine learning (ML). Palo Alto Networks leverages inline ML capabilities across several of its subscriptions to provide real-time protection against advanced threats and reduce the need for manual intervention.

A . Enterprise DLP (Data Loss Prevention)

Enterprise DLP is a Cloud-Delivered Security Service that prevents sensitive data from being exposed. Inline machine learning is utilized to accurately identify and classify sensitive information in real-time, even when traditional data patterns or signatures fail to detect them. This service integrates seamlessly with Palo Alto firewalls to mitigate data exfiltration risks by understanding content as it passes through the firewall.

B . Advanced URL Filtering

Advanced URL Filtering uses inline machine learning to block malicious URLs in real-time. Unlike legacy URL filtering solutions, which rely on static databases, Palo Alto Networks' Advanced URL Filtering leverages ML to identify and stop new malicious URLs that have not yet been categorized in static databases. This proactive approach ensures that organizations are protected against emerging threats like phishing and malware-hosting websites.

C . Advanced WildFire

Advanced WildFire is a cloud-based sandboxing solution designed to detect and prevent zero-day malware. While Advanced WildFire is a critical part of Palo Alto Networks' security offerings, it primarily uses static and dynamic analysis rather than inline machine learning. The ML-based analysis in Advanced WildFire happens after a file is sent to the cloud for processing, rather than inline, so it does not qualify under this question's scope.

D . Advanced Threat Prevention

Advanced Threat Prevention (ATP) uses inline machine learning to analyze traffic in real-time and block sophisticated threats such as unknown command-and-control (C2) traffic. This service replaces the traditional Intrusion Prevention System (IPS) approach by actively analyzing network traffic and blocking malicious payloads inline. The inline ML capabilities ensure ATP can detect and block threats that rely on obfuscation and evasion techniques.

Palo Alto Networks Documentation: Cloud-Delivered Security Services Overview

Palo Alto Networks Technical Specifications for CDSS Subscriptions

Best Practices for Implementing Inline Machine Learning Features