Ransomware is one of the rising malwares in the crimeware family. It encrypts the user files and demands extortion money. From the perspective of an enterprise it is very crucial to detect and stop a ransomware attack. A well studied technique is to monitor file system behavior for suspicious activity. In this work we will show the gap in the existing state of art and describe a dynamic system which learns new behavior while under attack.