The platform is built on a modular architecture that centralizes key cybersecurity services, including Cyber Threat Intelligence (CTI) sharing, Vulnerability Management (VM), security analytics, threat hunting, and incident-response capabilities.
SIEMBIOT collects real-time security events from multiple participating tenants while maintaining separation between operational environments. Selected security data can be anonymized and aggregated into a dedicated data lake, creating a realistic environment where cybersecurity research, experimentation, and professional training can take place.
At the heart of SIEMBIOT is collaboration.
The platform is open to vetted organizations that can contribute to the research ecosystem and exchange Cyber Threat Intelligence signals, novel detection methods, attack patterns, and response runbooks.
Once verified and registered within the SIEMBIOT portal, partner organizations can use the research environment to develop and test new security capabilities against the lab data lake. This includes creating and validating detection queries for Indicators of Compromise (IoCs) and Indicators of Attack (IoAs), experimenting with threat-hunting techniques, and developing anomaly-detection models and response methodologies.
Validated research can then become actionable knowledge for the wider community.