Attack Solutions

The onslaught of endpoint attacks delivers more and more data -- data that DevOps teams need to fine-tune existing products and invent new ones. Mining attack data to identify new threat patterns and correlations, then fine-tuning machine learning (ML) models and new products, is the goal. Gleaning new insights from endpoint attack data is a high strategic priority for market leaders. During his keynote at Palo Alto Networks' Ignite '22 Conference, Nikesh Arora, Palo Alto Networks chairman and CEO, said, "we collect the most amount of endpoint data in the industry from our XDR. We collect almost 200 megabytes per endpoint, which is, in many cases, 10 to 20 times more than most of the industry participants. Because we take that raw data and cross-correlate or enhance most of our firewalls; we apply attack surface management with applied automation using XDR."