A new report has proposed AI and Machine learning as a potential cure to the "Ransomware pandemic" making its way through the healthcare sector. The Institute of Critical Infrastructure Technology (ICIT) recently released a report called "How to Crush the Health Sector's Ransomware Pandemic". James Scott, senior fellow at ICIT and the author of the paper offers a plain solution to the worrying rash of cyber-attack on hospitals and healthcare providers that have held patient safety to ransom. He notes the proliferation of not only dynamic and adaptive malware, but the sheer number of adversaries that can find their way around defences no matter how resilient or well-resourced. But against this gloomy landscape, says Scott in a defiantly optimistic tone, what if healthcare organisations could use machine learning to overcome these threats?

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