Generative AI In Enterprises: Security Risks Most Companies Are Not Measuring
Security Boulevard, Monday, January 12th, 2026
Generative Artificial Intelligence has rapidly moved from experimentation to widespread adoption across enterprise environments. From internal copilots and customer support chatbots to code generation and data analysis, organizations are embedding large language models into critical business workflows.
While productivity improvements are relatively easy to quantify, the associated security risks are far more difficult to measure. Many organizations deploying generative AI today do so without a structured framework to identify, assess, and mitigate the new attack surfaces introduced by these technologies. As a result, significant risks often remain invisible until a security incident occurs.
This article examines the most underestimated and under-measured security risks associated with generative AI in enterprises, and outlines what organizations should consider to stay ahead of emerging threats.