Optimizing Vulnerability Management through Artificial Intelligence

Authors

  • Emily Wong School of Computing and Information Systems, Singapore Institute of Technology, Singapore

Abstract

Optimizing vulnerability management through artificial intelligence (AI) represents a pivotal advancement in cybersecurity strategies. By harnessing AI algorithms, organizations can enhance their ability to detect, prioritize, and remediate vulnerabilities efficiently. AI-driven systems analyze vast amounts of data in real-time, identifying potential threats and vulnerabilities before they can be exploited. This proactive approach not only reduces the risk of cyberattacks but also minimizes operational disruptions and financial losses. Moreover, AI empowers cybersecurity teams by automating routine tasks, allowing them to focus on more complex and strategic aspects of vulnerability management. This abstract explores how AI transforms vulnerability management into a proactive and adaptive process, crucial for safeguarding digital assets in today's increasingly interconnected world.

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Published

2024-07-14