The Transformative Effect of Data Science and Machine Learning

Using technology to improve today's fight against cyber threats

Speaker: Tim Vidas - Senior Distinguished Engineer, Nash Borges PhD - Sr Director of Engineering and Data Science
Recorded: June 26, 2019
Duration: 60 Mins

The combination of big data and machine learning is making it possible for defenders with limited resources and expertise to detect and respond to unknown threats faster than ever before.

In an industry forever locked in an adversarial battle with increasingly sophisticated actors, Tim Vidas, Distinguished Senior Engineer, and Nash Borges PhD, Sr Director of Engineering and Data Science at Secureworks explain how the power of machine learning combined with human intelligence have become fundamental to defending the digital economy.

Learn more about Secureworks® Taegis™ XDR, previously Red Cloak Threat Detection and Response.

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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

Taegis™ XDR isn’t just the next generation of SIEM, it’s an evolution.

David Levine, CISO, Ricoh Group

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.