AI went from assistant to autonomous actor and security never caught up Enterprise AI deployments have shifted from pilot programs to production systems handling customer data, executing business transactions, and integrating with core infrastructure. That has exposed a significant gap between what AI agents can do and what security teams can observe or control. A briefing published by the AIUC-1 Consortium, developed with input from Stanford’s Trustworthy AI Research Lab and more than 40 security executives, documents the security conditions that emerged in 2025 and projects the risks most likely to affect organizations in 2026. The contributors include CISOs from Confluent, Elastic, UiPath, and Deutsche Börse, along with security researchers and advisors from MIT Sloan, Scale AI, and…