Cisco last week at Cisco Live launched a platform for partners to build and manage agents, code applications and tools from various sources through a one management plane.

Cisco Cloud Control builds on the vendor’s AgenticOps vision that allows human operators to control AI agents that work from the same data and in the same workspace. The goal is to turn Cisco’s networking, security, compute, observability, and collaboration capabilities into an AI platform.

“Cisco Cloud Control is a command center for agentic AI: a platform where your team and your AI agents work together, in the same environment, with the same information, and with humans in control,” Cisco president and chief product officer Jeetu Patel said of the Cisco Live announcement.

Jeetu Patel

Cisco Cloud Control includes the AI Canvas collaborative workspace previewed last year. Cisco AI Canvas is a multiplayer, generative environment where human operators and AI agents investigate, correlate, and resolve complex issues together in real time.

Cloud Control Studio will be added this year as Cloud Control’s design space where partners can build, share and secure applications, workflows and agents. Cloud Control Studio will include an Agent Builder for creating AI agents and App Builder to create workflows and custom applications.

Partners and their customers can connect agents they build and their workflows to tools from AWS, Google, Linear, Microsoft, ServiceNow, PagerDuty, and Wiz through native connectors or the open Model Context Protocol (MCP).

Cloud Control will also connect to Cisco’s expanded Live Protect security platform.

In a research note, Hyperframe analysts Steven Dickens and Ron Westfall wrote that “Cisco Cloud Control aims to redefine enterprise infrastructure management by shifting from fragmented dashboards to a centralized, unified-pane-of-glass ecosystem. By consolidating networking, security, observability, and collaboration into a single secure login, the platform bridges the historical gap between human operators and autonomous AI agents. Rather than operating in isolated silos, both entities share an identical data layer and operational context. This foundational alignment enables enterprises to maintain disciplined human oversight and governance while simultaneously scaling operational velocity, shifting the IT paradigm from passive monitoring to proactive, co-piloted infrastructure defense.”