Business Benefits Through "Smart Security"

How machine learning is changing the security game

What you’ll learn:

In this paper, Jon Ramsey, Secureworks CTO, provides his 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.

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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

Red Cloak™ Threat Detection and Response isn’t just the next generation of SIEM, it’s an evolution.

David Levine, CISO, Ricoh Group

Why Secureworks?

Secureworks (NASDAQ: SCWX) a global cybersecurity leader, enables our customers and partners to outpace and outmaneuver adversaries with more precision, so they can rapidly adapt and respond to market forces to meet their business needs. With a unique combination of cloud-native, SaaS security platform and intelligence-driven security solutions, informed by 20+ years of threat intelligence and research, no other security platform is grounded and informed with this much real-world experience.