As cyber threats become more sophisticated, organizations rely on Big Data analytics to enhance cybersecurity measures and risk management strategies. Anomaly detection algorithms monitor network traffic in real time to identify suspicious activities and potential cyberattacks.

Companies use behavioral analytics to detect insider threats by analyzing user activity patterns and flagging unusual behaviors. Advanced threat intelligence platforms aggregate data from multiple sources to predict and prevent security breaches before they occur.

In financial risk management, Big Data helps banks and insurance companies assess credit risk, detect fraudulent transactions, and comply with regulatory requirements. Predictive analytics allows organizations to anticipate potential threats and implement proactive security measures, ensuring data integrity and compliance with industry standards.