Machine learning enhances cybersecurity measures by analyzing vast amounts of data to identify patterns and anomalies indicative of potential threats. By employing algorithms that learn from past incidents, machine learning systems can proactively detect and respond to cyber risks, such as malware or phishing attacks, in real-time. Additionally, these systems can improve over time, ensuring stronger defenses against evolving threat landscapes, thereby protecting sensitive information and organizational infrastructure.