Enhancing Vulnerability Management with Artificial Intelligence Algorithms
Enhancing Vulnerability Management with Artificial Intelligence Algorithms

Author(s): Gabriela TOD-RĂILEANU, Ana-Maria DINCĂ, Sabina-Daniela AXINTE, Ioan BACIVAROV
Subject(s): Security and defense, ICT Information and Communications Technologies
Published by: Asociatia Romana pentru Asigurarea Securitatii Informatiei
Keywords: vulnerability management; Artificial Intelligence; code scanning; Secure Software Development Lifecycle; vulnerability detection
Summary/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.

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