Enhancing Financial Risk Management in the Digital Age: A Systematic Review
Abstract
The rapid advancement of digital technologies has transformed financial risk management, introducing both opportunities and challenges. This study systematically reviews the impact of big data analytics, artificial intelligence (AI), blockchain, and cloud computing on risk mitigation strategies. Using the Systematic Literature Review (SLR) method, recent scholarly contributions are analyzed to evaluate how digital innovations enhance predictive risk detection, transaction transparency, and operational flexibility. Findings indicate that AI and big data significantly improve risk prediction accuracy, blockchain enhances security and trust in financial transactions, and cloud computing facilitates scalable data management. However, regulatory uncertainty, cybersecurity vulnerabilities, and organizational resistance remain major challenges to widespread adoption. This study emphasizes the necessity of adaptive regulations, stronger cybersecurity frameworks, and cross-sector collaboration to optimize the benefits of digital transformation in financial risk management. The results provide valuable insights for policymakers, financial institutions, and researchers in developing more resilient and technology-driven risk mitigation strategies.
How strong is the evidence?
Evidence Hub reads this as a systematic review. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.
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