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Enhancing Vulnerability Management with Artificial Intelligence Algorithms

Year: 2024

Type: conference-paper

Abstract: The rising number of vulnerabilities, highlights the growing cybersecurity challenges and the need for robust vulnerability management. This paper examines the role of Artificial Intelligence in enhancing vulnerability detection and management, focusing on scalable and accurate solutions to address large-scale codebase analysis. AI-driven techniques bridge traditional static analysis and advanced detection, uncovering hidden vulnerabilities and improving efficiency. Future research should optimize these tools for diverse languages, Secure Software Development Life Cycle workflows, and predictive threat analysis. These advancements highlight AI's potential to strengthen software security in an increasingly complex threat landscape.

DOI: 10.19107/cybercon.2024.13

Authors: Gabriela TOD-RĂILEANU, Ana-Maria DINCĂ, Sabina-Daniela AXINTE, Ioan C. BACIVAROV

Institution: Universitatea Națională de Știință și Tehnologie Politehnica București

Language: English

Topic: Web Application Security Vulnerabilities

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

OpenAlex ID: W4404600346

FWCI: 0.401

Cites:

Cited by: 1

Related to: 10