The health sector is the most vulnerable, most targeted, and resoundingly least equipped to defend against hackers who are pummeling healthcare organisations with ransomware attacks. So says James Scott, senior Fellow at the Institute for Critical Infrastructure Technology (ICIT).
This ransomware epidemic will only become more severe he says, and more costly as the infection volume rises in 2017, above the level of infections in 2016.
In a 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 defence layer to ward against against hyper-evolving APTs and malware.
The paper includes screenshots of next-generation ransomware available on deep web forums, and discusses the ease with which adversaries with minimal technological capability can customise ransomware. In addition, it analyses how machine based artificial intelligence can predict threat.
This paper was authored by James Scott, senior fellow, ICIT, and other thought leaders have provided expertise. The experts include:
- 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
Click here to download the paper.