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Why Machine Learning is More Likely to Cure Cancer Than to Stop Malware

Machine Learning (ML) has become the shiny new object for security and is the foundational pillar of products such as Next-Generation Antivirus (NGAV) and User and Entity Behavior Analytics (UEBA). While most of these products have promised to be a “silver bullet” against malware, complete protection remains elusive. In fact, ML is more likely to detect and cure cancer than to stop all of today’s advanced threats for a number of reasons:

• The past doesn’t predict the future
• Nothing will keep the bad guys out
• The harder you try the more you fail
• You can’t always be connected
• It’s a black box

Shahid N. Shah, an internationally recognized cybersecurity and risk management expert, and Rene Kolga, Senior Director of Product Management at Nyotron, will explain these shortcomings and how to avoid them. Instead of chasing after an infinite number of malware variants and attack vectors, a different approach to malware detection is to focus on the finite intentions behind attacks, such as data exfiltration, corruption and deletion.
Live online Feb 27 8:00 pm UTC
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Presented by
Shahid N. Shah, Cybersecurity and risk management expert, and Rene Kolga, Senior Director of Product Management at Nyotron
Presentation preview: Why Machine Learning is More Likely to Cure Cancer Than to Stop Malware

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  • Why Machine Learning is More Likely to Cure Cancer Than to Stop Malware Feb 27 2018 8:00 pm UTC 60 mins
    Shahid N. Shah, Cybersecurity and risk management expert, and Rene Kolga, Senior Director of Product Management at Nyotron
    Machine Learning (ML) has become the shiny new object for security and is the foundational pillar of products such as Next-Generation Antivirus (NGAV) and User and Entity Behavior Analytics (UEBA). While most of these products have promised to be a “silver bullet” against malware, complete protection remains elusive. In fact, ML is more likely to detect and cure cancer than to stop all of today’s advanced threats for a number of reasons:

    • The past doesn’t predict the future
    • Nothing will keep the bad guys out
    • The harder you try the more you fail
    • You can’t always be connected
    • It’s a black box

    Shahid N. Shah, an internationally recognized cybersecurity and risk management expert, and Rene Kolga, Senior Director of Product Management at Nyotron, will explain these shortcomings and how to avoid them. Instead of chasing after an infinite number of malware variants and attack vectors, a different approach to malware detection is to focus on the finite intentions behind attacks, such as data exfiltration, corruption and deletion.
  • Are You Too Negative When It Comes to Your Endpoint Security Strategy? Recorded: Jan 16 2018 46 mins
    Lenny Liebmann, Founding partner at Morgan Armstrong, Nir Gaist, Founder and CTO at Nyotron
    Like most organizations, you’ve probably deployed endpoint security. Still, you can’t seem to stop all existing and new threats, particularly fileless malware. You’re being infected, getting ransomware and/or having unwanted downtime.

    This presentation will include a dynamic discussion between Lenny Liebmann, founding partner at Morgan Armstrong and Nir Gaist, founder and CTO at Nyotron on why the Negative Security model that tries to track down everything “bad” will eventually miss some elusive new threat.

    Although a multi-layered security strategy that includes a Positive Security model provides better and more continuous protection for endpoints, this model has historically been difficult since it involves complex and time consuming whitelist maintenance. Lenny and Nir will describe a new OS-Centric Positive Security model that is a game changing innovation for simpler and more effective endpoint security.
The Industry's First OS-Centric Positive Security Solution
Nyotron offers the last line of defense to help win the war on malware. Based on the industry’s first OS-Centric Positive Security model that only allows legitimate operating system behavior, Nyotron prevents data exfiltration, corruption and other damage. Nyotron seamlessly complements existing endpoint security products with a future-proof solution, providing protection from any attack vector without foreknowledge of an exploit. The company’s headquarters is in Santa Clara, California, and R&D is in Israel. To learn more, visit www.nyotron.com.

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  • Title: Why Machine Learning is More Likely to Cure Cancer Than to Stop Malware
  • Live at: Feb 27 2018 8:00 pm
  • Presented by: Shahid N. Shah, Cybersecurity and risk management expert, and Rene Kolga, Senior Director of Product Management at Nyotron
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