Cyber Security Knowledge Graph

CQgraff stores expert knowledge in cybersecurity within its Cyber Security Knowledge Graph. Currently comprising over 600,000 objects, it is continually expanded daily with new vulnerabilities and malicious code. We continuously scour the internet to identify emerging cyber threats. The system operates like an experienced IT security manager—only faster and fully automated.

Beyond vulnerability and threat management, we also offer automation of additional processes within the Security Operations Center based on the Cyber Security Knowledge Graph.

SCR.AI: Transformer Models and NLP

For specific inquiries, we leverage Machine Learning and Artificial Intelligence technologies. In the EU-funded research project SCR.AI we have developed a solution that extracts attack paths and techniques from reports, making them machine-readable and processable.

CISOGRAPH: Automatic Detection of Cyber Risks

With CISOGRAPH, we are creating a solution that automatically uncovers security vulnerabilities in corporate IT. Grounded in insights from forensic analysis of previous attacks, we provide real-time assessment of cyber risks.

The approach involves knowledge graphs, which, in contrast to alternative methods, deliver reliably traceable assessments and results.

Technologies from the field of Large Language Models (LLM) and machine learning are employed to enrich information and make predictions. In this way, the project contributes to a reliable and trustworthy infrastructure for the digital transformation.

The CISOGRAPH project is supported by the State of Hesse as part of the DISTR@L program.