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ICIT Analysis: How to Crush the Health Sector’s Ransomware Pandemic

By ICIT Team

April 12, 2017

The health sector is the most vulnerable, most targeted, and resoundingly least equipped to defend against hackers who are pummeling healthcare organizations with ransomware attacks.   This ransomware epidemic will only become more severe and costly as the infection volume in 2017 will trump infections in 2016.

In this post, entitled “How to Crush the Health Sector’s Ransomware Pandemic: The Machine Learning Based Artificial Intelligence Revolution Starts Now!”, the Institute for Critical Infrastructure Technology discusses the power of machine based artificial intelligence as a potent cybersecurity defense layer to defend against hyper-evolving APTs and malware.  Specifically, the paper:

  • Includes screenshots of next-generation ransomware available on deep web forums
  • Discusses the ease at which adversaries with minimal technological capability can customize ransomware
  • Analyzes how machine based artificial intelligence can predict threats

This paper was authored by James Scott, Sr. Fellow, ICIT

The following thought leaders provided expertise to this paper:

  • Rob Bathurst, ICIT Fellow and Worldwide Managing Director, Cylance
  • David McNeely, ICIT Fellow & VP Product Strategy, Centrify
  • Robert Lord, ICIT Fellow & CEO, Protenus
  • Rick Caccia, ICIT Fellow & V.P., Exabeam
  • Don McLean, ICIT Fellow & Chief Technologist, DLT

Download the Paper Here:  http://icitech.org/wp-content/uploads/2017/03/ICIT-Analysis-Artificial-Intelligene-in-the-Health-Sector.pdf 

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