topic POC - To validate everything associated with Machine-Learning/Deep Learning PAN-OS - Features of URL Filtering, Wildfire, Threat Prevention Test in General Topics

POC - To validate everything associated with Machine-Learning/Deep Learning PAN-OS - Features of URL Filtering, Wildfire, Threat Prevention Test

Metgatz — Sat, 04 Mar 2023 05:13:41 GMT

Setting up a POC - To validate everything associated with Machine-Learning/Deep Learning of PAN-OS - Features of URL Filtering, Wildfire, Threa Prevention Test.

-Hello Livecommunity, good afternoon, thank you for your time, for your collaboration, for your good vibes.

In the case of putting together a POC, to put and show the features of PAN-OS 10.1.x, 10.2.x, 11.x for the topics related to Machine-Learning/Deep Learning of PAN-OS, for the modules URL Filtering, Wildfire, Threat Prevention.

If you have had to put together or have something similar, focused on the aforementioned, what simulation tools, tests, attacks, etc, have you used to demonstrate and cover, with a Machine-Learning/Deep Learning focus, the URL Filtering, Wildfire, Threat Prevention subscriptions, thinking of a presentation with a focus on the aforementioned.

Thank you for your time, collaboration, advice, comments, good vibes, etc.

Best regards

Re: POC - To validate everything associated with Machine-Learning/Deep Learning PAN-OS - Features of URL Filtering, Wildfire, Threat Prevention Test

BPry — Sun, 05 Mar 2023 05:12:39 GMT

@Metgatz,

I'd recommend engaging your account team if you were trying to put something like this together. One of the things you'll run into is that you need to have something new whenever you're trying to show off the ML engines; so you'll need something that is constantly changing with each new test. The same thing goes with URL filtering ML; you'll need to be dynamically creating updates domains and ideally modifying page content with every example.

Now you could obviously just run a bunch of samples in a lab environment of previously identified malware and take malicious code samples and phishing pages and build out some web pages. That doesn't really show of the ML capabilities that well however, and if you're showing it off as a demo to a client it looks incredibly staged. I always recommend modifying things on the fly so that it looks "real" and not part of a rehearsed show.