Use Case: Training & Research Data Lake
A cornerstone of the SIEMBIOT platform is its Training & Research Data Lake, a key enabler for hands-on cybersecurity education, threat detection development, and collaborative research. Designed to operate on top of the platform’s industrialized SOCaaS infrastructure, this environment offers a realistic and secure setting where vetted organizations can experiment with anonymized, real-time security data collected from multiple tenants across sectors and geographies.
By simulating diverse operational scenarios and aggregating telemetry from varied technologies and attack surfaces, the data lake enables:
Hands-on development and validation of detection queries, CTI correlation, and anomaly detection models
Training of cybersecurity professionals and students using realistic, anonymized data
Cross-organizational collaboration through shared resources and peer-reviewed research
Experimentation with response playbooks and automated remediation strategies
Bridging the gap between theory and practice in a safe, modular environment
It serves as a critical interface where theoretical knowledge meets practical experimentation, accelerating both skills development and cybersecurity innovation across the SIEMBIOT community.


