Shadow AI – a step too far, or an opportunity? (www.techradar.com)

Businesses are increasingly grappling with the phenomenon of "shadow AI," where employees adopt generative AI and automation tools outside the oversight of IT departments. This trend mirrors the longstanding issue of shadow IT, but with AI tools, the rapid adoptions pose new risks. Unlike traditional software, employees can integrate AI applications and workflows instantly, often leading to a fragmented ecosystem where operational visibility disappears. Companies now find themselves unaware of what AI solutions are being used, which data is being shared, and where sensitive information resides, exposing them to compliance and reputational threats. To address these challenges, organizations must shift their mentality towards AI governance. Effective management requires not just IT oversight but a collaborative effort across all departments to establish responsible usage guidelines and ensure accountability. By treating AI as a critical operational service, businesses can build a framework that includes transparency, supplier risk management, and operational resilience. With regulatory scrutiny increasing, particularly with upcoming legislation like the EU AI Act, companies need to proactively implement governance measures to avoid the pitfalls of unmonitored AI usage, ensuring that innovation is pursued alongside responsible management.