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Modernizing Vulnerability Prioritization: Automated Risk Scoring Using Generative AI

Year: 2025

Type: preprint

Abstract: Cybersecurity threats grow in complexity and volume. Traditional systems like CVSS lack real-time exploitability data. This paper presents a microservice-based framework using LLMs for automated risk scoring. A Dockerized service retrieves vulnerability data, queries an LLM, and updates the database with dynamic risk scores. Published: https://ijctjournal.org/generative-ai-vulnerability-risk-scoring/

DOI: 10.36227/techrxiv.174495391.16123741/v2

Author: Remi Yazigi

Language: English

Topic: Web Application Security Vulnerabilities

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

OpenAlex ID: W4413986626

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