Cyber attacks are sometimes disguised as one of the legitimate nodes in a network, which retrieves important information and then suddenly starts attacking the system. Due to the large number of devices, multiple networks, different protocols, and varied working nature of multiple sensors, it becomes difficult to identify when the attack takes place.

We can deploy solutions to monitor all the networks to detect anomalies, check the logs of the communication that takes place between devices and applications, perform penetration testing, identify which devices are compromised, and see what data has been stolen, all in a timely manner. Once we identify the issues, we must apply security patches and updates to avoid them in the future and implement advanced machine learning and analytics techniques that can predict and be used as an alert in advance in case of possible threats.