Researchers have developed a Multi-Large Language Model system (MLS) incorporating Hybrid Retrieval-Augmented Generation (HybridRAG) to semi-automate BSI IT-Grundschutz certification. This approach aims to address the challenges posed by the NIS 2 Directive, including a shortage of specialists and high implementation costs, by increasing efficiency and reducing expenses. The system integrates LLMs and knowledge graphs to assist in various certification stages, from protection needs assessment to measure consolidation and realization, thereby supporting the growing demand for security concepts. AI
IMPACT This research could streamline IT security certification processes, potentially reducing costs and increasing efficiency in compliance with new regulations like NIS 2.
RANK_REASON The cluster contains a research paper detailing a novel approach for semi-automated IT security certification using LLMs. [lever_c_demoted from research: ic=1 ai=1.0]
- BSI IT-Grundschutz
- HybridRAG
- IT-Grundschutz check
- knowledge graph
- large-language models
- MultiLarge Language Model system
- Network and Information Security Directive 2
- NIS 2 Directive
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