Overview
About aSIEMmetry
About aSIEMmetry
The aSIEMmetry project enhances traditional SIEM systems with artificial intelligence and machine learning to empower SOC teams, enabling early detection of new threats and a more efficient incident response. By integrating advanced AI models, such as UEBA agents and LLM SOC, aSIEMmetry addresses challenges like large data volumes, slow containment times, and skill shortages, improving anomaly detection, reducing false positives, and enhancing SOC analysts' capabilities with AI-driven insights, automation, and runbooks.
aSIEMmetry is a European funded project, coordinated by Expertware along with consortium composed of VUB - VRIJE UNIVERSITEIT BRUSSEL - Belgia and The Romanian National Cyber Security Directorate.
The aSIEMmetry project enhances traditional SIEM systems with artificial intelligence and machine learning to empower SOC teams, enabling early detection of new threats and a more efficient incident response. By integrating advanced AI models, such as UEBA agents and LLM SOC, aSIEMmetry addresses challenges like large data volumes, slow containment times, and skill shortages, improving anomaly detection, reducing false positives, and enhancing SOC analysts' capabilities with AI-driven insights, automation, and runbooks.
aSIEMmetry is a European funded project, coordinated by Expertware along with consortium composed of VUB - VRIJE UNIVERSITEIT BRUSSEL - Belgia and The Romanian National Cyber Security Directorate.