SIEMBIOT training & research data lake

A cornerstone of the SIEMBIOT platform is its Training & A key feature of the SIEMBIOT platform is its Training & Research Data Lake, a specialized environment designed to facilitate both cybersecurity education and cutting-edge threat detection research. This use case allows practitioners, analysts, students, and researchers to work with real-world anonymized security data in a secure, organized, and flexible framework.

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.

Shared Learning Resources
Explore a rich portal of curated queries, threat intel feeds, and detection playbooks—peer-reviewed, reusable, and universally accessible. A Hall of Fame showcases top contributors, fostering collaboration and knowledge sharing.
Customizable Training for Organizations
Interactive labs and tailored content matched to your team’s maturity level. Each organization gets a dedicated space with hands-on exercises, customizable materials, and progress tracking—enabling learning paths aligned to specific goals.
Realistic & Validated Testing Environment
Simulate real-world threats with high-quality, cross-industry security data. A demo tenant and standard pipeline provide a reliable, realistic environment for training and experimentation—mirroring real SOC conditions.
Research, Experimentation & Publishing
Develop, test, and share new detection techniques with the cybersecurity community. Organizations can run simulations, automate responses, and share validated results through SIEMBIOT’s platform—driving innovation across Europe.
Modular Training Portal

The Training & Research portal is divided into two main domains:

  • Common for All Organizations:

    • Published Researched Hunting Queries: Curated, peer-reviewed queries that reflect actual detection use cases.

    • Threat Intelligence Feeds: Anonymized and aggregated CTI signals from across participants.

    • Sample Queries & Playbooks: Reusable building blocks for developing or customizing detection strategies.

    • Hall of Fame: Recognition of outstanding contributions by users or institutions that have delivered valuable detection content.

  • Organization-Specific Areas:

    • Exercises: Interactive labs that simulate attacks and defensive responses using actual data from the lake.

    • Course Interactions & Materials: Customizable educational content tailored to different maturity levels or focus areas.

    • Students & Progress Tracking: Monitoring tools for instructors and program administrators.

This design ensures that while shared resources accelerate collective learning, each organization retains the ability to customize their own educational and research space.

Validated, Realistic Environment

At the heart of this capability is a demo tenant and research data lake, where security events collected from multiple onboarded organizations are first decoded, disassembled, validated, and resolved through a standardized pipeline. This ensures the quality and consistency of data before it's used in research or training.

These demo tenants simulate a variety of real-world environments—capturing telemetry across different industries, technologies, and geographies—creating a realistic threat landscape that reflects the operational challenges faced by modern SOCs.

Detection Development & Experimentation

Once an organization is verified and onboarded, users can experiment freely within the platform:

  • Build and test IoC and IoA detection queries

  • Develop and simulate automated incident response runbooks

  • Perform blue team/red team simulations using data streams derived from real organizational contexts

These experiments are first validated against the demo data lake before being published to the broader SIEMBIOT ecosystem, ensuring only accurate and effective content is disseminated.

Collaborative Research & Dissemination

The Training & Research Data Lake not only supports education, but also encourages cross-organizational collaboration. By enabling vetted EU organizations, CSIRTs, and research institutions to:

  • Share their findings

  • Distribute novel detection methods

  • Contribute to open knowledge

SIEMBIOT ensures that cutting-edge research is immediately actionable, thanks to its automated publish/subscribe mechanisms. This greatly accelerates the deployment of new threat intelligence, attack pattern recognition, and remediation strategies across the cybersecurity community.

Other Use Cases

Siembiot is a modular cybersecurity platform that integrates real-time SIEM monitoring, proactive vulnerability management, and global threat intelligence sharing. Designed to support collaboration among European and international partners, its demo tenant, data lake, training portal, and CTI Exchange enable organizations worldwide to innovate, share knowledge, and enhance cyber defense on a global scale.

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