Machine learning in cybersecurity
For a dynamic and powerful security platform, machine learning (ML)-based tools can be an essential element. The technology can be used in a variety of tasks, such as detecting malware and network anomalies, categorizing user behavior, prioritizing vulnerabilities and threats, and also accurately predicting future attacks. Additionally, their use can help improve model risk, streamline threat classification – and even accurately predict immediate and potential attacks. In addition, ML-based automation relieves employees by minimizing manual effort. So ML has a lot…
