A strategic approach to managing AI risks

Artificial intelligence (AI) is transforming the business landscape at an unprecedented pace, with generative AI compressing decades of progress into just a few years. While most business leaders recognise its vast potential, many remain concerned about the cybersecurity and privacy risks that come with it. Generative AI amplifies long-standing threats such as data leakage, manipulation, and governance gaps — all of which can lead to serious reputational and legal consequences. As AI technologies evolve faster than regulation, frameworks like the EU AI Act are becoming increasingly critical.

Successful AI adoption requires a comprehensive governance framework that connects technology with business goals and human capital. Organisations should establish AI governance committees to ensure compliance, ethical practices, and strategic alignment. AI must be integrated into existing risk management and compliance processes to avoid single points of failure.

Building awareness is equally important: more companies are training employees on the secure and ethical use of AI while deploying advanced tools to prevent data leaks and unauthorised access. In the coming years, AI is expected to have the greatest impact on cybersecurity, compliance, and supply chain management. Organisations that embrace a learning mindset and adapt quickly will not only innovate faster but also build greater resilience in an ever-changing technological environment.