Artificial Reality | The PatternEx Blog

More Morphing in the Security Services Space

We have more morphing in the security services space. When ISPs came into being in the mid-1990s, there came a need to provide some security services to customers who did not have a capability to provide such for themselves. Hence MSSPs were born. For many years, adoption of MSSP services remained quite low. Many potential customers just could not bring themselves to trust a 3rd party with their security needs.


Topics: Artificial Intelligence Evolution machine learning SOC

What to Look for in an MDR Provider

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In my last blog posting, I talked about why you should consider moving to an MDR provider. In this post, I want to discuss what you should be looking for in an MDR provider. There are several factors that should be considered if you are going to have a successful partnership with an MDR provider. Leading research and advisory companies (and others) have written about such too, but I don’t charge vendors to say nice things about them. 😀

Topics: machine learning Threat Detection SOC analytics MSSP

PatternEx’s Architecture for SOC Investigations

PatternEx uses multiple open-source tools to help us provide excellent results for SOC analysts in their investigations.  And in this blog posting, I am going to give you an overview of our architecture.

Topics: machine learning AI SOC

How machine learning creates virtual analysts

The security industry has done a great job of creating a lot of noise around the rise of “machine learning” or “artificial intelligence.” The industry says that rules are the problem—too many missed attacks and false alarms—and that machine learning is the answer.

Topics: Artificial Intelligence machine learning

Why InfoSec Professionals Need to Learn Some Data Science

This is a post I've been meaning to write for a while, and over the last few months I've been finding it quite a bit more relevant. It finally came to a head a few weeks ago when I was talking with some respected colleagues about Machine Learning (ML) and Artificial Intelligence (AI), and how they are being leveraged in the Infosec world. The conversation started off well when we were talking about it from a high level, but it soon became clear that neither one of my friends, who both have worked in IT and Infosec for a long time, knew the first thing about "how" those systems actually worked. It was at that point the gears in my head ground to a halt, and as I reflected upon that moment, my mind took me back to a simpler time.

Topics: InfoSec Professionals machine learning

The Revolution of Learning Systems

Like living things, technologies evolve to better suit the needs of their environment—in this case, the security intelligence space. Others have made this point but there is an evolution from rules based approaches to analytic approaches (e.g. SIEM to UEBA).

Technology solutions require the work of experts like product managers, engineers and data scientists to evolve. What they don’t do is improve automatically from the user feedback. The real trick in Security Intelligence is to get the supervised learning models to update automatically, without the need for a data scientist. Pull this off, and you have built a system that evolves on its own—a system that learns

Topics: machine learning