Business Benefits Through "Smart Security"

How machine learning is changing the security game

What you’ll learn:

Read this white paper to gain an understanding of the Secureworks vision of machine learning and how resources, confidence in the science, and actionability can enable "Smart Security" to benefit CIOs and businesses.

In the frontier of cybersecurity, the objective of cognitive solutions is to build effectively smart, software-driven security that allows organizations to take action faster and reduce risk.

Scalable cognitive solutions that meet these objectives must leverage machine learning to manage the vast amount of data that is produced by security sensors. Security expertise, data science and the math behind machine learning are all essential to developing the complex mechanisms, timing and features of machine learning systems. Thus, taking the right action by creating security tactics enabled by machine learning is dependent on three things: resources, confidence in the science, and actionability.

Get Your Complimentary Paper

All fields are required.

Access Now

We generate around 2 billion events each month. With Secureworks, we are able to crunch down that number to 20-30 high fidelity alerts — and that makes my team's job much easier.

Sunil Saale, Head of Cyber and Information Security, Minter Ellison

The level of specificity and actionable intelligence that accompanies Secureworks critical alerts helps us pinpoint and remediate a problem so much faster.

Joe Barnett, Chief Technology Officer, Frenship ISD

Why Secureworks?

Secureworks (NASDAQ: SCWX) is a global cybersecurity leader that protects customer progress with Secureworks® Taegis™, a cloud-native security analytics platform built on 20+ years of real-world threat intelligence and research, improving customers’ ability to detect advanced threats, streamline and collaborate on investigations, and automate the right actions.