Several Fortune 500 companies, including non-technology and late-stage technology firms, are restricting their developers from using popular AI coding tools such as Cursor, Windsurf, GitHub Copilot, and Augment Code. The primary reasons cited for these restrictions are concerns over intellectual property, security, and compliance risks associated with unsanctioned AI tool usage. These companies are opting to develop their own internal AI coding solutions instead. Meanwhile, security firms like Zscaler report over four million blocked attempts of sensitive data leakage through generative AI in their cloud environment, highlighting the risks of uncontrolled AI application use. Experts emphasize that blocking AI tools alone is insufficient, as it merely pushes data risks into less visible areas. They advocate for enhanced visibility, context-aware policies, and secure AI alternatives to mitigate these risks. There is also a debate within the industry about whether companies should buy existing AI tools or build their own, with some arguing that buying is preferable to avoid long-term disadvantages. Additionally, understanding DevOps and fostering a culture of collaboration, security, and transparency are seen as critical for innovation and managing AI-related risks effectively.