AI-powered GRC: Enhancing regulatory compliance and risk resilience in evolving cyber threat landscapes
Covenant University, Human-centric cybersecurity, Artificial Intelligence, Security Risk Management, and Compliance Nigeria.
Review Article
World Journal of Advanced Research and Reviews, 2024, 23(03), 3281-3290
Article DOI: 10.30574/wjarr.2024.23.3.2778
Publication history:
Received on 04 August 2024; revised on 11 September 2024; accepted on 13 September 2024
Abstract:
The rapidly evolving cyber threats and increasing regulatory complexities have rendered the traditional Governance, Risk, and Compliance (GRC) frameworks useless. This paper studies how Artificial Intelligence (AI) could transform GRC frameworks to help the organization engage in proactive risk management, continuous Compliance, and greater operational resilience. GRC platforms use machine learning, natural language processing, and robotic process automation to automate mapping policies, real-time anomaly detection, and simulated attacks. The study presents the application and predicts analytics in risk identification, automated regulatory reporting, etc., along with constraints such as data privacy, algorithmic bias, or legacy systems. The findings indicate that AI can transform Stag GRC from a reactive compliance-based approach to a more strategic adaptive framework that might tackle transforming regulatory and cyber threat landscapes.
Keywords:
Artificial Intelligence (AI); Governance Risk and Compliance (GRC); Cybersecurity; Regulatory Compliance
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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