Machine Learning and Cybersecurity

Machine Learning and Cybersecurity is a specialized domain that applies learning algorithms and statistical models to protect computer systems, networks, and data from cyber threats. Instead of relying solely on static, signature-based rules to identify known attacks, this approach leverages machine learning to analyze vast amounts of data in real-time, learning to recognize patterns and anomalies indicative of malicious activity. Key applications include intelligent intrusion detection, malware classification, spam and phishing filtering, and user behavior analytics, all of which enable a more proactive, adaptive, and predictive security posture capable of identifying and responding to novel and evolving threats.