
The silent security gap in enterprise AI adoption
Most security leaders believe they know where their sensitive data lives and how it is protected. That confidence is increasingly misplaced. As enterprises deploy AI across customer support, software development, legal analysis and internal operations, a new data exposure surface has quietly emerged. It does not sit in databases, file systems or network links. It lives inside AI inference traffic an area that falls outside most traditional security models and visibility frameworks, as InfoWorld explains in its analysis of why AI is all about inference now. This shift has happened quickly. In many organizations, AI systems have moved from pilot projects to core infrastructure in less than two...