Cisco has unveiled its latest agentic platform in Cisco Cloud Control, which has been specifically designed to operate and defend critical IT infrastructure.
In an agentic AI world, organisations must act and defend at machine speed and scale. Cisco Cloud Control, unveiled recently at Cisco Live, is a unified platform built for humans and AI agents to manage, monitor and defend critical IT infrastructure — and the foundation for Cisco’s AgenticOps operating model.
With one login, Cisco Cloud Control delivers a single view of Cisco networking, security, compute, observability, and collaboration in one secure environment.
People and agents work from a single data layer, sharing the same operational context and the same system of action, while humans stay in control.
Customers can build their own applications and agents using natural language directly within the platform, which also connects to a large ecosystem, including AWS, Linear, Microsoft, PagerDuty, ServiceNow, Slack, and Google Cloud, which now includes Wiz.
“AI agents reason and act continuously at software speed, and that changes everything about how we scale, manage, and defend our critical infrastructure,” said Jeetu Patel, President and Chief Product Officer, Cisco. “Cisco Cloud Control is a command centre 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.”
One platform for humans and agents to run the agentic enterprise
Cisco Cloud Control is the single management plane that brings a customer’s entire estate into one environment — one login, one view. It’s a new way to run critical infrastructure that ties together:
- Cross-domain telemetry. The rich data flowing across networking, security, observability, collaboration, and more – comes together in Cloud Control so humans and agents can act on the same information to address key business imperatives like uptime, agent behaviour, and tokenomics.
- Purpose-built models. Cloud Control reasons across complex problems with the right mix of purpose-built and frontier models — including Cisco’s Deep Network Model, grounded in 40 years of Cisco operational networking data. The result is system intelligence that scales with the complexity of the problem, not the size of the model alone.
- Trusted agents. Through Cisco Cloud Control, operators will be able to work with autonomous agents that can follow a structured path from signal to action: spotting trouble, identifying causes, carrying out fixes, testing changes before deployment, and confirming the user experience has recovered. These agents will be powered by Cisco telemetry and purpose-built models, and they will leverage other capabilities, such as Expanded Experience Metrics, Deep Reasoning, Digital Twin, and Cisco Agentic Workflows. Teams will be able to automate network ops with an agentic loop, while keeping actions visible and governed.
- Cisco AI Canvas. A multiplayer, generative workspace where operators and agents work from the same live evidence to investigate and resolve complex issues together in real time. Context persists across shifts and escalations, so nothing is lost, and nothing is repeated.
- Cloud Control Studio. The design space that unlocks two customisation environments. Agent Builder lets customers build agents for Cloud Control tailored to their own policies and workflows, with the ability to connect to more than 50+ third-party platforms and tools through native connectors or the open Model Context Protocol (MCP). App Builder lets customers build and publish apps and workflows for Cloud Control from natural-language prompt, with OpenAI Codex, an agentic platform that helps you build and ship with AI, built in. Everything built in Studio — plus agents and apps from across Cisco’s ecosystem — can be published to Cloud Control Marketplace.
Cisco Cloud Control has entered controlled availability in United States, with global availability to follow.
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