Machine Learning Vs. Cyber Threats: Who Wins The Battle?

Machine learning has the potential to improve cybersecurity defenses, but it is not a complete solution. Organizations must align it with other security measures to effectively combat cyber threats. ML can analyze large amounts of data to identify patterns and predict future attacks, and can also assist with device identification and profiling, detecting suspicious behavior, and providing policy feedback. Common cyber threats include phishing, ransomware, malware, and system vulnerabilities.