The company decides to adopt an ML-based cyber security framework that not only detects but also autonomously responds to cyber threats in real-time. The software installs on the entire network infrastructure of the company and learns from normal usage pattern of every user and every device within the system. As the software is constantly learning what constitutes a “normal pattern of use”, it immediately flags any deviations from the norm, isolates it by shutting down the system/user and prevents the malicious behavior from accessing/affecting any of its environment. The self-learning system only gets better with time and can be deployed on the cloud infrastructure too.