In cybersecurity, 'predictive' refers to technologies and methods that use data analysis, machine learning, and artificial intelligence to anticipate threats before they occur. Predictive systems analyze historical and real-time data to identify patterns, trends, and potential vulnerabilities, enabling organizations to proactively defend against cyberattacks. Unlike reactive approaches, which respond to incidents after they happen, predictive cybersecurity aims to prevent breaches by forecasting malicious activities, such as malware outbreaks, phishing attempts, or insider threats. This approach enhances threat intelligence, improves incident response times, and reduces the risk of successful attacks. However, predictive models require continuous updates and validation to remain effective against evolving threats.