SOCs are often overwhelmed by excessive alerts and inefficient prioritization. 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.

The project’s objective is to strengthen Europe’s cybersecurity ecosystem by delivering scalable, reusable solutions for SOCs across the EU.

Led by EXPERTWARE, a pan-European provider of IT and Cyber Services & Solutions,in partnership with the Vrije Universiteit Brussel (VUB) and the Romanian National Cyber Security Directorate (DNSC).

More about the project!