The CASE Framework: A Multi-Disciplinary Control Architecture for Governing Enterprise Agentic AI
Enterprises are deploying autonomous AI agents faster than they can govern them, and prevailing approaches stretch a single discipline, typically DevSecOps built for deterministic automation, across every scale of agency. We argue that agentic AI governance is four problems, not one, each with a mature governing science. The CASE framework assigns Control theory to the individual agent (intent as setpoint, guardrails as feedback, evaluation as obse
By Srinivas Telukunta, Georgios Nektarios Lilis, Lucio Baron