The article discusses the urgent need for a cohesive framework for AI governance to address the fragmented and ineffective approaches currently in place. It proposes a risk-informed governance model that focuses on assessing and managing AI risks, enhancing accountability, and ensuring global harmonization to foster responsible AI implementation.
AI is advancing more rapidly than regulations, presenting both risks and opportunities for compliance teams. Organizations must proactively adopt frameworks to manage AI risks and embrace a continuous, adaptive compliance process to keep pace with evolving threats and regulations.
The widespread adoption of artificial intelligence has led to significant benefits for organizations, but it also brings risks, with 95% of executives reporting negative consequences from their AI use. As businesses implement agentic AI, which operates autonomously, they face heightened compliance challenges and the need for new strategies to address these risks effectively.
On August 2, 2025, the second stage of the EU AI Act came into force, regulating general purpose AI models and introducing obligations for transparency and accountability. This legislation marks a significant step in establishing a global framework for the governance of AI technology, aimed at ensuring safety and ethical use.