When a customer needs to understand how Palo Alto Networks NGFWs lower the risk of exploitation by newly announced vulnerabilities known to be actively attacked, which solution and functionality delivers the most value?
A.
Advanced URL Filtering uses machine learning (ML) to learn which malicious URLs are being utilized by the attackers, then block the resulting traffic.
B.
Advanced Threat Prevention's command injection and SQL injection functions use inline deep learning against zero-day threats.
C.
Single Pass Architecture and parallel processing ensure traffic is efficiently scanned against any enabled Cloud-Delivered Security Services (CDSS) subscription.
D.
WildFire loads custom OS images to ensure that the sandboxing catches any activity that would affect the customer's environment.
The most effective way to reduce the risk of exploitation by newly announced vulnerabilities is through Advanced Threat Prevention (ATP). ATP uses inline deep learning to identify and block exploitation attempts, even for zero-day vulnerabilities, in real time.
Why "Advanced Threat Prevention’s command injection and SQL injection functions use inline deep learning against zero-day threats" (Correct Answer B)?Advanced Threat Prevention leverages deep learning models directly in the data path, which allows it to analyze traffic in real time and detect patterns of exploitation, including newly discovered vulnerabilities being actively exploited in the wild. It specifically targets advanced tactics like:
Command injection.
SQL injection.
Memory-based exploits.
Protocol evasion techniques.
This functionality lowers the risk of exploitation by actively blocking attack attempts based on their behavior, even when a signature is not yet available. This approach makes ATP the most valuable solution for addressing new and actively exploited vulnerabilities.
Why not "Advanced URL Filtering uses machine learning (ML) to learn which malicious URLs are being utilized by the attackers, then block the resulting traffic" (Option A)?While Advanced URL Filtering is highly effective at blocking access to malicious websites, it does not provide the inline analysis necessary to prevent direct exploitation of vulnerabilities. Exploitation often happens within the application or protocol layer, which Advanced URL Filtering does not inspect.
Why not "Single Pass Architecture and parallel processing ensure traffic is efficiently scanned against any enabled Cloud-Delivered Security Services (CDSS) subscription" (Option C)?Single Pass Architecture improves performance by ensuring all enabled services (like Threat Prevention, URL Filtering, etc.) process traffic efficiently. However, it is not a feature that directly addresses vulnerability exploitation or zero-day attack detection.
Why not "WildFire loads custom OS images to ensure that the sandboxing catches any activity that would affect the customer's environment" (Option D)?WildFire is a sandboxing solution designed to detect malicious files and executables. While it is useful for analyzing malware, it does not provide inline protection against exploitation of newly announced vulnerabilities, especially those targeting network protocols or applications.
[Reference: Palo Alto Networks Advanced Threat Prevention specifically highlights its capability to detect and block zero-day exploits, leveraging inline deep learning and machine learning models. This makes it the optimal solution for protecting against new vulnerabilities being actively exploited., , , ]
Contribute your Thoughts:
Chosen Answer:
This is a voting comment (?). You can switch to a simple comment. It is better to Upvote an existing comment if you don't have anything to add.
Submit