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AI demand is so high, AWS customers are trying to buy out its entire capacity | Network World

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How Jeetu Patel made Cisco unrecognizable
by Zeus Kerravala · 2026-06-12 · via AI demand is so high, AWS customers are trying to buy out its entire capacity | Network World

Chief Product Officer Jeetu Patel is turning Cisco from a sprawling holding company of dashboards into a unified, AI-native infrastructure platform.

Cisco Live 2026 is in the books, and it was “prove it” time for a promise made 24 months ago. At Cisco Live 2024, Chief Product Officer Jeetu Patel promised that Cisco would be unrecognizable as a company—in a positive way—in two years. The innovation payload at the event suggests he has largely delivered on that pledge. Cisco is repositioning itself from a holding company of products and dashboards to a unified, AI-native infrastructure platform, with Cloud Control as the control plane, Cisco IQ as the CX brain, and Secure Networking as the glue binding it all together.

The shift is not just about new features; it is about a new operating model. Instead of humans clicking through a sprawl of consoles, Cisco is building an environment where human operators and AI agents share the same data, context, and system of action, with humans staying in control. For longtime Cisco customers, the result is a company that, in fact, looks and feels very different from the one Patel inherited.

From dashboard sprawl to Cloud Control

The most visible proof point of the new Cisco is Cloud Control, the unified management plane that now spans networking, security, compute, observability, collaboration, and an expanding ecosystem of third-party tools. Cisco is careful to note that this is not just another single pane of glass but an active execution environment with policy and identity embedded in the control path, designed from the ground up for humans and AI agents to operate infrastructure together.

Patel’s demo underscores how far Cisco has come from its historical dashboard sprawl. When operators land in Cloud Control, they see a familiar, ChatGPT‑style interface with three modes: Assistant, Canvas, and Actions. Assistant lets operators converse with the platform in natural language. Canvas provides a multiplayer workspace where humans and agents can investigate and resolve issues together. Actions become the mission control for supervising what agents propose and execute.

Crucially, Cloud Control surfaces shared platform services such as inventory and topology across the entire Cisco estate and exposes product tiles for Meraki, Intersight, security services, Splunk, Webex Control Hub, and Cisco IQ, all accessible with a single login. Instead of bouncing between multiple dashboards and authentication domains, operators can move seamlessly between platform services and product experiences within the same environment. For customers who have lived with overlapping portals and inconsistent workflows, this alone makes Cisco feel fundamentally different.

Cloud Control as an AI harness, not a console

Under the hood, Cloud Control is built on a shared data fabric that correlates telemetry across users, devices, applications, networks, and threats. That fabric fuels both human decision-making and agentic automation. Cisco describes this evolution as moving from “infrastructure as code” to “infrastructure as a harness.” Rather than relying solely on scripts and playbooks written by humans, Cloud Control becomes the governed substrate where AI agents can safely observe, reason, and act on real systems.

That harness appears in three visible dimensions. First, AI Canvas provides the workspace where humans and agents co-investigate incidents, with context persisting across shifts and escalations so nothing is lost. Second, Cloud Control Studio offers Agent Builder and App Builder, which let customers and partners build their own agents and applications on top of Cisco’s data, policy, and control plane using natural language and embedded coding assistants. Third, everything built in Studio—plus partner solutions—flows into the Cloud Control Marketplace, where integrations from dozens of ecosystem partners are already available.

For enterprises, the net effect is that Cloud Control shifts from a place to click through settings to the “secure harness” for agentic operations: a governed environment where AI agents can be deployed, monitored, constrained, and audited end-to-end. That is a very different proposition from the traditional network management console.

Historically, Cisco’s Customer Experience (CX) organization (services) and product groups have often felt like parallel universes. Services were layered on top of products rather than tightly integrated into how those products operated. Cisco IQ changes that dynamic by placing CX capabilities directly within the same Cloud Control environment where the products themselves live and by wiring CX workflows into the same telemetry and policy plane. This is notable as Cisco IQ isn’t yet another dashboard but an integrated part of Cloud Control.

Cisco IQ is positioned as the AI‑powered delivery vehicle for support and professional services. The goal is to give customers “complete landscape clarity,” proactive resilience, rapid resolution, and contextualized services. It runs as a SaaS platform, with an on‑premises deployment option for customers with strict data sovereignty requirements. By tapping the shared data fabric, Cisco IQ can inventory assets whether they are deployed or still in the warehouse, flag risks before customers experience issues, and benchmark an organization’s posture against anonymized peers by vertical, market segment or geography.

New capabilities, including Resilient Infrastructure Services and Quantum Ready Assessments, further underscore the integration of CX and product engineering. Resilient Infrastructure Services uses a three-step framework: Exposure Assessment, Infrastructure Modernization, and Defense Resiliency to help customers prepare for frontier-model threats. Quantum Ready Assessments, delivered through Cisco IQ, identify assets most exposed to “harvest now, decrypt later” attacks and map a path to quantum-safe infrastructure. Putting CX’s “brain” into Cloud Control and connecting it to the same data and AI models that drive operations is both a cultural and an architectural shift.

Secure Networking as the integration proof point

If you want a single domain that illustrates how integrated the new Cisco has become, look at Secure Networking. Cisco’s stated vision is to embed security directly into the fabric of the infrastructure, from silicon through the network to operations, rather than treating it as a separate stack. That strategy manifests in several concrete ways.

Live Protect, described internally as a “digital immune system,” applies precise compensating controls to Cisco products in production to protect them from newly discovered vulnerabilities at runtime. It does so without reboots, upgrades, or maintenance windows. The controls are narrowly targeted to avoid performance impact and minimize false positives. Live Protect is already shipping on Nexus 9000 switches and expanding across the portfolio, including campus switches, tightening the feedback loop between vulnerability discovery and mitigation from weeks to minutes.

Hybrid Mesh Firewall extends a unified security policy across networks, applications, and both Cisco and third-party firewalls, limiting the blast radius when something goes wrong. At the same time, Cisco is embedding post-quantum crypto libraries, secure boot, and trust anchors across its core portfolio, and has committed to enabling quantum-safe communications capabilities across most core products by December 2026. New enterprise and data center routers, switches, and firewall series are launching as “quantum-safe by default.”

All of this is orchestrated through Cloud Control, the security command center for a post-Mythos era, with Splunk providing the telemetry backbone and agentic SOC and SRE capabilities to detect, triage, and respond at machine speed. Secure Networking is no longer just about point firewalls and SD-WAN; it has become the spine that ties Cisco’s networking, security, observability, and AI assets into a coherent platform.

Multicloud Fabric: networking as a service for AI

Another hallmark of the new Cisco is a willingness to deliver networking as a managed fabric rather than a toolkit that customers must stitch together themselves. Multicloud Fabric, introduced as a network‑as‑a‑service offering delivered through Cloud Control, illustrates this shift.

Multicloud Fabric gives enterprises a single fabric for secure site-to-cloud and cloud-to-cloud networking, with Cisco operating virtual points of presence across major cloud providers and regions. Customers can onboard sites and cloud environments, define intent-based connectivity, attach security policies, and monitor performance “with one button” from Cloud Control, instead of building and maintaining their own hub-and-spoke architectures. Security and observability are built in—Zero Trust routing, cloud firewall service chaining, and ThousandEyes agents embedded in each point of presence—so the network is no longer a passive pipe but part of the AI intelligence stack.

This matters because AI-first applications increasingly chain inference across multiple clouds and data sources. Cisco’s own research shows that these agentic workflows can generate many times more network traffic than manual equivalents, with much of it being latency-sensitive inference. Multicloud Fabric, operated as a service and integrated into the same Cloud Control environment, is Cisco’s answer to this new reality.

What this means for customers

Cisco has spent four decades building category-leading products, from Meraki and Nexus to Webex and ThousandEyes. But the company’s biggest opportunity has always been in how those pieces work together. As Patel has said, tightly integrated and loosely coupled. Cloud Control, Cisco IQ, Multicloud Fabric, and Secure Networking suggest the product organization is finally closing that gap, turning dashboards into agentic workflows and discrete boxes into a secure harness for the AI era.

For customers, Cisco’s transformation matters because it changes the operating model, not just the product lineup. Cloud Control gives IT teams a single management plane across networking, security, observability, collaboration, and services, replacing the fragmented dashboard experience that has long complicated Cisco environments. That should make operations faster and simpler, but it also raises the bar for customers.

As Cisco pushes AgenticOps, AI Canvas, Live Protect, and Cisco IQ into the mainstream, IT teams will need to shift from manually managing tools to supervising agents, setting policy guardrails, and validating machine-speed actions. That shift will demand new skills in prompt design, policy modeling, risk scoring, and governance, especially as agents propose and test more changes before humans ever click “approve.”

It also means customers should view Cisco less as a best-of-breed product and more as an integrated platform. The more of the Cisco estate that is tied to Cloud Control, the more value customers should derive from shared telemetry, unified workflows, embedded security, and cross-domain automation—especially in areas like Secure Networking and multicloud operations. Conversely, customers that remain heavily heterogeneous will need clear integration strategies and governance models to ensure third-party tools plug safely into the harness.

Finally, this new Cisco has the potential to reduce one of the biggest pain points enterprise buyers have faced for years: complexity. If the company can deliver on its vision of one login, one view, tighter product integration, and CX services finally aligned with the product groups, customers may find that Cisco is not only unrecognizable in a positive way but also easier to buy, deploy, and operate than at any point in its history.

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