Machine learning has revolutionized the way we approach network security. As cyber attacks become more sophisticated and frequent, traditional security measures are no longer enough to protect against them. Machine learning algorithms have proven to be a powerful tool in detecting and preventing cyber attacks, and their impact on network security cannot be overstated.
The role of machine learning in network security is twofold: it can be used to detect and prevent attacks in real-time, and it can also be used to analyze data and identify patterns that can help improve security measures in the future.