A widely utilized technology for cybersecurity threat detection is machine learning (ML). ML algorithms analyze vast amounts of data to identify patterns and anomalies indicative of potential threats. This technology enhances traditional security measures by automating the detection of unusual activities, such as unauthorized access attempts or data breaches, thereby reducing false positives. By continuously learning from new data, machine learning systems can adapt to evolving threats and refine their detection capabilities over time. This proactive approach helps organizations mitigate risks and respond more effectively to cyber threats.