Impact of AI on cybersecurity and security compliance
1 School of Business, Technology and Health Care Administration Capella University, Minneapolis, MN, USA 55402.
2 Department of Electrical and Computer Engineering University of Florida.
3 McClure School of Emerging Communication Technologies Scripps College of Communications Ohio University Athens, USA.
4 Department of Information Technology North Carolina A & T State University.
5 Department of Computer Science, Ekiti State University, Ado Ekiti.
Review Article
Global Journal of Engineering and Technology Advances, 2024, 21(01), 167–184.
Article DOI: 10.30574/gjeta.2024.21.1.0193
Publication history:
Received on 11 September 2024; revised on 24 October 2024; accepted on 26 October 2024
Abstract:
Artificial Intelligence (AI) is transforming the field of cybersecurity and reshaping security compliance practices. As cyber threats become increasingly complex, AI offers powerful tools for identifying, mitigating, and preventing attacks in real-time. AI-driven systems excel at processing vast amounts of data, detecting anomalies, and identifying patterns that traditional security systems might miss. Machine learning and deep learning algorithms enhance the ability to predict potential threats, reducing response time and improving the accuracy of threat detection. These capabilities make AI a valuable asset in addressing sophisticated threats such as zero-day vulnerabilities, advanced persistent threats (APTs), and ransomware attacks. In the realm of security compliance, AI plays a pivotal role by automating routine tasks such as monitoring, auditing, and reporting. This reduces the burden on organizations to manually enforce regulatory standards, leading to more efficient compliance with frameworks like GDPR, HIPAA, and PCI-DSS. AI can continuously assess systems to ensure that they meet compliance requirements, enhancing the ability to detect and respond to violations. Furthermore, AI contributes to governance by helping organizations develop robust security policies, track compliance metrics, and streamline incident response. However, the integration of AI in cybersecurity also presents challenges, including adversarial AI, data privacy concerns, and transparency in AI decision-making processes. Additionally, AI-driven attacks are an emerging threat that necessitates further research and regulation. Despite these challenges, the future of AI in cybersecurity and compliance looks promising, with advancements in predictive analytics, quantum computing, and autonomous security systems poised to further revolutionize the field. As AI technologies evolve, they will continue to play a critical role in fortifying cybersecurity defenses and ensuring regulatory compliance across industries.
Keywords:
Artificial Intelligence; Cybersecurity; Security Compliance; Review
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0