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Machine Learning: Snake Oil or the Next Big Idea in Cybersecurity?

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Those defending against cyber-attacks are overwhelmed by the sheer volume of incidents to respond to. It is so bad that it has been said that there may be as many as 1 million unfilled cybersecurity jobs in order to deal with them.

One way to deal with this problem is machine learning and automation, which is heralded as the way to deal with so many incidents, with the press of a button. While there is much promise in machine learning, there are also many perils that need to be considered.

In this webinar we will look at the trend of machine learning, ask how businesses are using this technology and look at what benefits it can bring.

Key takeaways from this webinar: 

  • Understand what machine learning is, and how it works
  • Look at how new and old technologies are being boosted by machine learning
  • How the concept of machine learning works, and how it can better defend your organization and deal with a shortage of resources

Speakers

John Bambenek

Manager of Threat Systems, Fidelis Cybersecurity

Dan  Raywood

Contributing Editor, Infosecurity Magazine

Rik Turner

Principal Analyst, Ovum

    Dominic Vogel

    Chief Security Strategist, Cyber.SC

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