Shadow AI governance: strategies to rein in rogue models

Shadow AI, where employees use unauthorized AI tools like ChatGPT without IT approval, poses significant risks to organizations, including data security breaches, compliance violations, and inconsistent decision-making. Unlike traditional shadow IT, shadow AI involves data transformation and automated decision-making, often with no visibility or control, as demonstrated by incidents like the Samsung data leaks. Effective governance strategies involve embedding governance into the platform architecture, implementing risk-based approval processes, and aligning with regulatory frameworks like the EU AI Act. Providing approved AI tools that meet business needs, coupled with creating visibility and enabling self-service, can deter shadow AI use by offering faster and more reliable alternatives. Building a sustainable governance culture requires ongoing attention to both technical controls and organizational dynamics, emphasizing collaboration, training, and proactive communication to address root causes and enable AI-assisted productivity without compromising data quality or compliance.