BROCS

A new framework called BROCS aims to address the high failure rate of enterprise AI deployments by structuring the stack into four layers: data orchestration, model governance and security, agentic wo…

A new vendor-neutral framework called BROCS organizes enterprise AI enablement into five capabilities—Build, Run, Observe, Control, and Secure—to help organizations assess commercial and homegrown pla…

BROCS 1.2 expands its failure-mode library from seven to sixteen publicly sourced entries, including Samsung's three pastes in twenty days, Microsoft's 38TB SAS token, and the OpenAI Redis leak, while…