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Imagine your company’s IT team on a Tuesday afternoon as three separate alerts go off at once: a routing issue in the WAN, a spike in firewall policy violations, and poor call quality across several branch offices. In most organizations, three different engineers open three different dashboards, follow separate threads, and spend hours trying to figure out what happened. Cisco has now created a solution to end that frustration.
At Cisco Live 2026 in Las Vegas, Cisco opened the doors to Cisco Cloud Control, a unified command center for AI agents and human operators to manage, monitor, and protect critical IT systems from a single place. The platform brings together Cisco’s networking, security, compute, observability, and joint effort products under a single management system with one login and one view. This supports Cisco’s Agentic Ops model: AI agents play a bigger role in daily operations, while people still oversee everything.
This isn’t just a new dashboard. It’s a complete rethink of how enterprise infrastructure is managed.
Cisco Cloud Control and the End of the Siloed Operator
For forty years, Cisco has created leading products in networking, security, compute, observability, and alliance. Each product has been strong on its own. Now, the real opportunity is what happens when they all work together as one platform. A single performance issue—such as slow application or poor call quality—often affects multiple areas at once. Until now, operators had to connect the dots themselves, assembling what happened by hand.
Cisco Cloud Control brings together an AI assistant, IT Infrastructure Telemetry dashboards, third-party agent management, Model Context Protocol tools, and API support for AgenticOps into a single system. By combining telemetry, topology, and event context, the platform can spot complex cause-and-effect chains. For example, a workload migration might change traffic patterns; a routing update could affect WAN usage, and Webex media might suffer at branches using that route. Finding these connections used to take hours, but now the system shows them in real time.
For American businesses like banks with hybrid cloud workloads, medical systems with many campuses, and retailers connecting e-commerce with in-store networks, this change is extremely important.
Inside the AI Canvas Partner Workspace
The most important part of the launch is Cisco AI Canvas, a shared workspace built into Cisco Cloud Control. AI Canvas lets administrators collaborate, ask questions in plain language, and get answers using information from Control Hub and other Cisco platforms.
AI Canvas is designed to establish clear rules for how people and AI agents collaborate within Cisco Cloud Control. The platform keeps information flowing smoothly through investigations, escalations, and handoffs. Cisco also sees AI Canvas as a place where AI agents help solve problems, but people still make the key decisions and handle governance.
Here’s a real-world example: a security specialist at a regional bank sees higher latency on a financial app. She types her question in plain English into AI Canvas. According to Cisco, AI Canvas can take that input, create a multi-agent investigation, gather evidence from different areas, and provide a sourced answer, with the engineer still approving the following steps. Specialized agents check networking, security, and cloud telemetry at the same time, combine their findings, and offer a single remediation plan all before she could open another monitoring tool.
Information stays available across shifts, so when operators hand off an ongoing investigation, they don’t lose any progress. This helps solve a common cause of downtime: losing track of work during shift changes.
IT Infrastructure Telemetry at Scale: The Data Fabric Underneath
All this cooperation depends on a reliable data layer. Every function connects to cross-domain log data in the Splunk-based Cisco Data Fabric, which launched last year and will be widely available in the next two months. This data fabric acts as the nervous system for Cisco Cloud Control, ensuring AI agents and people use the same IT Infrastructure Telemetry rather than separate data from different products.
With native integrations or open Model Context Protocol connections, tools from outside Cisco can also work with AI Canvas. Customers can create agents that fit their own needs, including monitoring configuration changes, checking compliance, managing escalations, or handling repeated incident investigations.
There are already more than 50 partner integrations available. Connected services include AWS, Microsoft, Google Cloud, PagerDuty, ServiceNow, and Slack. This wide range is important for American businesses that have built sophisticated setups over the years. The system works with the infrastructure they already have.
Why the Free Partner Workspace Model Changes the Competitive Math
One of the biggest changes in this launch is the pricing. There’s no new license and no extra cost for eligible customers. Cisco Cloud Control comes with subscription licenses for eligible Cisco products at both the Essential and Advantage levels. It will be available to a select group of partners and customers starting in June 2026.
AI Canvas is included with eligible Cisco licenses at no extra cost. For Cisco’s large network of partners—managed service providers, system integrators, and resellers who support most American enterprise networks this means the partner workspace and all its agentic features are available as soon as they activate Cisco Cloud Control.
AI Canvas gives operators and AI agents a shared workspace to investigate issues together across domains, reducing handoffs and preserving context. The Cisco Cloud Control platform with AI Canvas free tier activation represents a deliberate strategic bet: make the agentic operations layer standard equipment rather than a premium add-on, and accelerate adoption before competitors establish comparable ecosystems.
Cisco has already brought together more than 50 partners to support cross-domain AI agents. This deep ecosystem, along with Cisco’s long history in American enterprise infrastructure, gives Cisco Cloud Control a distribution edge that new competitors can’t easily match.
The Shift That Cannot Be Undone
“We are firmly moving from the age of chatbots to the age of agentic AI,” said Jeff Schultz, Cisco SVP of portfolio strategy. This isn’t just a marketing phrase it describes a real change in how infrastructure work is done. The next generation of IT operations won’t be about who has the most skilled engineers watching the most dashboards. It will be about who creates the best teamwork between human decision-making and automated execution.
Cisco Cloud Control, with AI Canvas at its core and IT Infrastructure Telemetry as its base, is the best example of this new approach available today. Nearly every American business that relies on Cisco infrastructure now has access to a partner workspace where this future is already happening. The question isn’t if agentic operations will shape enterprise IT, but how quickly organizations will use what’s already included in their licenses. With Cisco Cloud Control and AI Canvas now in controlled availability, the countdown has begun.
Source: https://newsroom.cisco.com/c/r/newsroom/en/us/press-room/press-releases.html
