Machine Learning in Cybersecurity
Machine Learning in Cybersecurity involves the application of artificial intelligence algorithms and models to analyze and detect patterns in data to identify potential threats, vulnerabilities, and attacks in computer systems, networks, and digital environments. It uses machine learning techniques such as supervised and unsupervised learning, anomaly detection, and natural language processing to enhance security measures, predict and prevent cyber threats, and improve overall cybersecurity defenses.