AI Risks

Inside most large enterprises right now, something subtle but profound has broken. It does not look like a crisis. It looks like productivity. Teams are shipping faster than ever. Tools appear overnight. AI systems are built in days, sometimes hours. Internal dashboards multiply. Knowledge bases expand. Work accelerates. From the outside, this looks like progress. […]

AI adoption is accelerating across every organization. Employees are using tools like ChatGPT and Claude to automate work, build applications, and move faster. But most of this activity is happening outside IT visibility and control. The result is a new category of risk: This creates a real problem for security and compliance teams. You don’t

Every company is writing an AI policy right now. Most of them were written with ChatGPT. And nearly all of them share the same blind spot. Over the last 5 months, we worked with 121 companies preparing for SOC 2 audits and renewals—across tools like Vanta, Drata, and Secureframe. As part of that process, we reviewed 53 real AI policies

AI tool sprawl refers to the uncontrolled proliferation of AI tools across an organization, where multiple teams adopt different tools without centralized visibility, governance, or coordination.

TL;DR Shadow AI refers to AI tools used by employees without approval or oversight. It is rapidly growing across enterprises and creates risks around data exposure, compliance, and governance. Detecting it requires a mix of network monitoring, SaaS analysis, and employee-level visibility into AI usage. In our AI Usage and Benchmark study, we found that