Cybels Analytics leverages artificial intelligence and machine learning algorithms to detect complex cyberattacks by analyzing large volumes of heterogeneous data from multiple sources, such as network data, endpoint analysis, and OT logging. It combines real-time threat detection with proactive hunting for advanced and unprecedented threats, reducing the average detection time of advanced persistent threats from three months to a few days. The platform integrates with on-premise Security Operations Centres or can be provided as a cloud service, enabling complementary operation with existing detection systems like SIEM, EDR, and NIDS. It connects to Thales' Cyber Threat Intelligence service, enhancing the detection of untargeted attacks by cross-referencing threat information with system logs. Its modular design allows adaptation to specific operational contexts, and it supports continuous monitoring and response to cyber threats through a 24/7 operations center.
