One prominent technology that uses machine learning to improve data security is an intrusion detection system (IDS). These systems automatically analyze network traffic, user behavior, and system logs to detect unusual patterns that might indicate a security breach. By leveraging machine learning algorithms, IDS can improve their detection capabilities over time by learning from previous attacks and adapting to new threats. This proactive approach enhances the organization’s overall cybersecurity stance, allowing for faster response times and minimizing potential damage from security incidents.