The article explains how fear of missing out is driving companies and employees to rapidly adopt AI tools without proper oversight, creating serious cybersecurity risks. In the rush to experiment, workers often upload sensitive data into unapproved AI systems or connect tools that lack basic security controls, exposing organizations to data leaks and compliance violations. Many leaders underestimate these risks or assume AI tools are safe by default, even though attackers are increasingly targeting AI workflows and integrations. The piece argues that the problem is less about the technology itself and more about unmanaged adoption, poor governance, and lack of training. It concludes that organizations need clear policies, security reviews, and employee education to prevent AI enthusiasm from turning into a major security liability.
