Ansible positions automation as the trusted execution layer for agentic AI
Ansible, Red Hat Inc.’s automation platform, is emerging as the trusted execution layer that might bridge AI-generated insights and reliable IT operations, aiming to turn probabilistic agentic AI into governed, deterministic action at scale.
The shift from AI experimentation to real-world agentic operations is forcing a reckoning with how enterprises manage the gap between AI-generated insights and reliable production systems. By 2027, 85% of the Global 500 will deploy agentic AI for autonomous IT operations. However, most organizations still lack the critical execution infrastructure to govern what those agents actually do, according to Sathish Balakrishnan (pictured), vice president and general manager of Ansible at Red Hat.
“Automation is mission-critical,” Balakrishnan said. “Automation is the foundation of AI and IT operations. People are realizing AI is unlocking a lot of possibilities, AI ops is unlocking a lot of possibilities, but AI is probabilistic. You don’t want AI agents mucking up your production servers, ever.”
Balakrishnan spoke with theCUBE’s Rob Strechay and Rebecca Knight at Red Hat Summit 2026, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how the Red Hat Ansible Automation Platform serves as the trusted execution layer for agentic AI in IT operations. (* Disclosure below.)
