AI-ENHANCED RISK SCORING: IMPROVING ACCURACY IN GRC ASSESSMENTS
Keywords:
Artificial Intelligence, Risk Assessment, GRC Management, Machine Learning, Predictive AnalyticsAbstract
This comprehensive article explores the transformation of Governance, Risk, and Compliance (GRC) assessments through artificial intelligence integration. The article examines how AI-enhanced risk scoring addresses traditional limitations such as assessment inconsistencies, data processing constraints, and human bias while offering dynamic, real-time risk monitoring capabilities. The article investigates the implementation of machine learning algorithms, predictive analytics, and natural language processing in risk assessment, highlighting their impact on accuracy, efficiency, and proactive risk mitigation. The article also considers critical implementation factors, including data quality requirements and model governance frameworks, while exploring future trends in IoT integration, blockchain technology, and advanced visualization tools for risk management.
References
NC State University, "2023 Global State of Risk Oversight: Managing the Rapidly Evolving Landscape," October 31, 2023. [Online]. Available: https://erm.ncsu.edu/resource-center/2023-global-state-of-risk-oversight-managingthe-rapidly-evolving-landscape/
Benita Urhobo, "Understanding the role of artificial intelligence in enhancing GRC practices in cybersecurity," World Journal of Advanced Research and Reviews 22(2):269-274, May 2024 [Online]. Available: https://www.researchgate.net/publication/380633550_Understanding_the_role_of_arti ficial_intelligence_in_enhancing_GRC_practices_in_cybersecurity.
Volkan Evrin, CISA, CRISC, COBIT 2019 Foundation, CDPSE, CEHv9, ISO 27001- 22301-20000 LA, "Risk Assessment and Analysis Methods: Qualitative and Quantitative," April 28 2021. Available: https://www.isaca.org/resources/isacajournal/issues/2021/volume-2/risk-assessment-and-analysis-methods.
Emmanuel Ok, "AI-Powered Malware Analysis: A Comparative Study of Traditional vs. AI-Based Approaches," August 2024. Available: https://www.researchgate.net/publication/383395000_AIPowered_Malware_Analysis_A_Comparative_Study_of_Traditional_vs_AIBased_Approaches.
Boning Huang, Junkang Wei, Yuhong Tang, Chang Liu, "Enterprise Risk Assessment Based on Machine Learning," November 16, 2021. [Online]. Available: https://onlinelibrary.wiley.com/doi/10.1155/2021/6049195.
Ebere Onwubuariri et al., "AI-Driven risk assessment: Revolutionizing audit planning and execution," Finance & Accounting Research Journal 6(6), pp:1069-1090, June 2024. [Online]. Available: https://www.researchgate.net/publication/381466171_AIDriven_risk_assessment_Revolutionizing_audit_planning_and_execution.
Georgiana Tircovnicu, Camelia Daniela Hategan, “INTEGRATION OF ARTIFICIAL INTELLIGENCE IN THE RISK MANAGEMENT PROCESS: AN ANALYSIS OF OPPORTUNITIES AND CHALLENGES," Journal of Financial Studies VIII, p 15, November 2023. [Online]. Available: https://www.researchgate.net/publication/376185771_INTEGRATION_OF_ARTIFIC IAL_INTELLIGENCE_IN_THE_RISK_MANAGEMENT_PROCESS_AN_ANALY SIS_OF_OPPORTUNITIES_AND_CHALLENGES.
Dexter Aiden, Lewis Michael, "Artificial Intelligence in Business: Enhancing Operational Efficiency and Navigating Ethical Challenges," September 2024. [Online]. Available: https://www.researchgate.net/publication/384441985_Artificial_Intelligence_in_Busin ess_Enhancing_Operational_Efficiency_and_Navigating_Ethical_Challenges.
Gagan Agarwala, Alejandro Latorre, Susan Raffel, "Understand model risk management for AI and machine learning," 13 May 2020. [Online]. Available: https://www.ey.com/en_us/insights/banking-capital-markets/understand-model-riskmanagement-for-ai-and-machine-learning.
.
Haosen Xu, Kaiyi Niu, Tianyi Lu, Siyang Li, "Leveraging artificial intelligence for enhanced risk management in financial services: Current applications and prospects,"Engineering Science & Technology Journal 5(8), pp. 2402-2426, August 2024. [Online]. Available: https://www.researchgate.net/publication/382866327_Leveraging_artificial_intelligen ce_for_enhanced_risk_management_in_financial_services_Current_applications_and _future_prospects.
Val LeTellier, "Next Generation Enterprise Security Risk Management" ASIS Security Management Magazine, March/April 2022. [Online]. Available: https://www.asisonline.org/security-management-magazine/articles/2022/03/NextGeneration-Enterprise-Security-Risk-Management/
Nitin Rane, Saurabh Purushottam Choudhary and Jayesh Rane, "Blockchain and Artificial Intelligence (AI) integration for revolutionizing security and transparency in finance," SSRN Electronic Journal, January 2023. [Online]. Available: https://www.researchgate.net/publication/376141682_Blockchain_and_Artificial_Intel ligence_AI_integration_for_revolutionizing_security_and_transparency_in_finance.
