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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

AI-powered GRC: Enhancing regulatory compliance and risk resilience in evolving cyber threat landscapes

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  • AI-powered GRC: Enhancing regulatory compliance and risk resilience in evolving cyber threat landscapes

Eniola Akinola Odedina *

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
DOI url: https://doi.org/10.30574/wjarr.2024.23.3.2778

 

Received on 04 August 2024; revised on 11 September 2024; accepted on 13 September 2024
 
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.
 
Artificial Intelligence (AI); Governance Risk and Compliance (GRC); Cybersecurity; Regulatory Compliance
 
https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2024-2778.pdf

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Eniola Akinola Odedina. AI-powered GRC: Enhancing regulatory compliance and risk resilience in evolving cyber threat landscapes. World Journal of Advanced Research and Reviews, 2024, 23(3), 3281-3290. Article DOI: https://doi.org/10.30574/wjarr.2024.23.3.2778

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