How does AI predict potential exploits in OT software?

AI predicts potential exploits in OT software by analyzing system behavior and vulnerabilities through various methods such as anomaly detection, machine learning algorithms, and data analysis. It continuously monitors system activity to identify unusual patterns or deviations from normal behavior that may indicate a potential exploit. By analyzing known vulnerabilities and threat intelligence data, AI can also proactively determine the likelihood of a particular exploit occurring based on the system’s configuration and weaknesses. This predictive approach allows organizations to preemptively secure their OT environments and prevent cyber attacks.