A Cyber Threat Hunting System to Prevent Seen and Unseen Ransomware Attacks: Ransomware is identified as one of the most serious cyberattacks targeting the healthcare sector. In spite of attempts to detect such attacks, ransomware developers have been capable of modifying the face of their attacks and bypass most detection mechanism. The Cyber Science Lab at the University of Guelph has developed a deep-neural network-based system that is capable of detecting ransomware attacks from multiple different views. This system not only detects previously known (seen) ransomware but it achieved more than 99% accuracy in detecting previously unseen (totally new) ransomware samples. The system supports multiple platforms ranging from Windows and macOS to Android-based devices and offers backward compatibility to older operating systems such as Windows XP. Once ransomware is identified, the system automatically suggests actions for containment, eradication and recovery.