Modern Security Operations Centers (SOCs) increasingly rely on multiple technologies and SIEM platforms to monitor and respond to cyber threats. However, this diversity often leads to fragmented visibility, inconsistent alert formats, and increased operational complexity. As part of the SAFE4SOC initiative, we are working to address these challenges by enabling the standardisation and sharing of security alerts across heterogeneous environments.
A key benefit of this approach is the ability to collect and process unified alerts from different SIEM systems, such as QRadar, Splunk, or RSA NetWitness. By transforming vendor-specific data into a common format (IDMEFv2), the solution allows SOC teams to view, analyze, and correlate security events in a consistent and structured way, regardless of their origin. This significantly reduces the need for custom integrations and manual data normalization.
For CyberSOC services, this translates directly into improved operational efficiency and faster incident response. Analysts can focus on high-value investigation tasks instead of handling format inconsistencies or duplicated alerts. At the same time, clients benefit from enhanced threat visibility, more accurate detection, and a more scalable security monitoring service.
Ultimately, the project contributes to building a more interoperable and collaborative cybersecurity ecosystem, where organizations can securely share and process threat information, strengthening their collective defense against evolving cyber threats.

The project funded under Grant Agreement No. 101145846 is supported by the European Cybersecurity Competence Centre (ECCC) as the granting authority. Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Cybersecurity Competence Centre. Neither the European Union nor the European Cybersecurity Competence Centre can be held responsible for them.
The project is dedicated to enhancing the cyber threat detection and response capabilities of entities across the public and private sectors. By focusing on the refinement and standardization of the IDMEFv2 format, our project facilitates a seamless, structured, and AI-enhanced exchange of cybersecurity information. This initiative aims to streamline the interoperability between detection tools and cybersecurity management consoles, significantly improving the speed and accuracy of threat response actions across the cybersecurity ecosystem.