2024/02/12 by Igor Svoboda, Dmytro Lande, Svoboda, Igor +1
Decision Sciences · #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #H.1.1 #I.2.1 #I.2.8 #Multi-Criteria Decision Making #Multiagent Systems (cs.MA)
paper · pdf · doi:10.48550/arxiv.2402.07404
openalex publication_date 2024/02/12 · openalex created_date 2024/02/14 · openalex updated_date 2026/07/28
Our study presents a new framework that incorporates the Analytic Hierarchy Process (AHP) and Generative Pre-trained Transformer 4 (GPT-4) large language model (LLM), bringing novel approaches to cybersecurity Multiple-criteria Decision Making (MCDA). By utilizing the capabilities of GPT-4 autonomous agents as virtual experts, we automate the decision-making process, enhancing both efficiency and reliability. This new approach focuses on leveraging LLMs for sophisticated decision analysis, highlighting the synergy between traditional decision-making models and cutting-edge AI technologies. Our innovative methodology demonstrates significant advancements in using AI-driven agents for complex decision-making scenarios, highlighting the importance of AI in strategic cybersecurity applications. The findings reveal the transformative potential of combining AHP and LLMs, establishing a new paradigm for intelligent decision support systems in cybersecurity and beyond.