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

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.