Artificial Intelligence in Cybersecurity: Revolutionizing Threat Detection and Risk Mitigation

Authors: Pavan Navandar

DOI: https://doi.org/10.5281/zenodo.14850956

Short DOI: https://doi.org/g84qgq

Country: USA

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Abstract: This article examines the transformative role of Artificial Intelligence (AI) in revolutionizing cybersecurity practices, with a particular focus on threat modeling and vulnerability assessment. As cyber threats grow increasingly sophisticated, traditional security measures often fall short in providing comprehensive protection. We explore how AI and machine learning algorithms enhance the accuracy and efficiency of threat modeling by analyzing vast datasets to identify patterns and anomalies indicative of potential security risks. The article also investigates AI's contribution to vulnerability assessment, highlighting its capacity for continuous monitoring and real-time analysis of diverse data sources, including network traffic, system logs, and threat intelligence feeds. By simulating various attack scenarios and prioritizing security vulnerabilities, AI-driven tools enable organizations to adopt a more proactive and dynamic approach to cybersecurity. While acknowledging the challenges and ethical considerations associated with AI implementation in this domain, this article underscores the significant potential of AI in fortifying cyber defenses and safeguarding digital assets in an ever-evolving threat landscape.

Keywords: Artificial Intelligence, Cybersecurity, Threat Modeling, Vulnerability Assessment, Machine Learning

Paper Id: 232116

Published On: 2024-01-09

Published In: Volume 12, Issue 1, January-February 2024

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