As cyber threats increasingly target real-time communications and grow ever more sophisticated, traditional security measures are no longer sufficient. The UM-Labs AI Large Event Model (LEM) introduces a revolutionary approach to cybersecurity for real-time traffic by leveraging AI-powered threat detection, predictive intelligence, and automated response mechanisms. With over a decade’s worth of cyber-attack data contained in SNITCH Event Database, the model has the historical data to help anticipate future threats and thus offers the potential to deploy pre-emptive defences. The scalable and adaptable architecture ensures that security measures can be effectively implemented across diverse network environments, providing a robust and dynamic cybersecurity solution. By harnessing AI-driven analytics, cross-domain correlation, and automated threat mitigation, the UM-Labs LEM sets a new standard in proactive cybersecurity, enabling organisations to stay ahead of evolving threats and secure real-time communications more effectively than ever before.
