How Jeetu Patel Transformed Cisco Into an AI-Native Infrastructure Platform

Two years ago, at Cisco Live 2024, Jeetu Patel made a promise that would test Cisco’s ability to reinvent itself. As Chief Product Officer, Patel told attendees the company would be “unrecognizable” by 2026—not in a negative way, but through a fundamental transformation of its technology and operating model. At this year’s Cisco Live in Las Vegas, Patel delivered on that pledge, unveiling a unified AI-native infrastructure platform that replaces Cisco’s legacy of fragmented dashboards with a single, cohesive control plane.

According to Cisco’s official announcement, the shift is not merely about new features but represents a complete overhaul of how the company’s products and services interact. “We’re moving from a world where humans click through a sprawl of consoles to one where humans and AI agents work together with shared data, context, and systems of action,” Patel stated in his keynote. “This is about creating a secure harness for agentic operations—where AI can observe, reason, and act on infrastructure, but always under human supervision.”

From Dashboard Sprawl to Cloud Control: The Unified Management Plane

The centerpiece of Cisco’s transformation is Cloud Control, a unified management platform that now spans networking, security, compute, observability, collaboration, and an expanding ecosystem of third-party tools. Unlike previous attempts at consolidation, Cloud Control is not just another “single pane of glass” but an active execution environment where policy and identity are embedded directly into the control path.

Patel demonstrated how Cloud Control eliminates the “dashboard sprawl” that has long plagued Cisco customers. When operators access the platform, they encounter a familiar, ChatGPT-style interface with three primary modes:

• Assistant: Enables natural language conversations with the platform for troubleshooting and configuration.
• Canvas: A multiplayer workspace where human operators and AI agents collaborate to investigate and resolve incidents in real time.
• Actions: Serves as mission control for supervising AI-proposed changes before execution.

One of the most significant improvements is the elimination of multiple authentication domains. Cloud Control surfaces shared platform services—including inventory, topology, and asset management—across the entire Cisco estate. Product tiles for Meraki, Intersight, security services, Splunk, Webex Control Hub, and Cisco IQ are now all accessible with a single login, allowing operators to move seamlessly between services without bouncing between portals.

Cloud Control as an AI Harness: Moving Beyond Infrastructure as Code

Under the hood, Cloud Control is built on a shared data fabric that correlates telemetry across users, devices, applications, networks, and threats. This fabric serves as the foundation for both human decision-making and agentic automation, marking Cisco’s evolution from “infrastructure as code” to what the company now calls “infrastructure as a harness.”

“We’re no longer just about scripts and playbooks written by humans,” Patel explained. “Cloud Control is the governed substrate where AI agents can safely observe, reason, and act on real systems—while maintaining strict human oversight.”

The AI harness manifests in three key dimensions:

1. AI Canvas: A collaborative workspace where humans and agents co-investigate incidents with persistent context across shifts and escalations.
2. Cloud Control Studio: Includes Agent Builder and App Builder, allowing customers and partners to create custom AI agents and applications using natural language and embedded coding assistants.
3. Cloud Control Marketplace: A growing ecosystem where integrations from dozens of third-party partners—including Splunk, Palo Alto Networks, and ServiceNow—are available alongside Cisco’s own solutions.

For enterprises, this means Cloud Control shifts from a static configuration tool to a “secure harness for agentic operations,” where AI agents can be deployed, monitored, constrained, and audited end-to-end. This approach fundamentally changes how IT teams interact with infrastructure, moving from manual management to supervised automation.

Cisco IQ: When Customer Experience Meets Product Engineering

Historically, Cisco’s Customer Experience (CX) organization and product groups operated in parallel universes. Services were often bolted onto products rather than integrated into their core operation. That dynamic has changed with Cisco IQ, which places CX capabilities directly within Cloud Control and wires them into the same telemetry and policy plane as the products themselves.

“Cisco IQ isn’t another dashboard—it’s the AI-powered brain for our customer experience organization,” Patel stated. “It gives customers complete landscape clarity, proactive resilience, and rapid resolution by embedding CX workflows into the same environment where products live and breathe.”

Cisco IQ operates as a SaaS platform with an on-premises deployment option for customers with strict data sovereignty requirements. By tapping into the shared data fabric, it can:

• Inventory assets whether deployed or still in the warehouse.
• Flag risks before customers experience issues.
• Benchmark an organization’s posture against anonymized peers by industry, region, or market segment.

New capabilities like Resilient Infrastructure Services and Quantum Ready Assessments demonstrate the integration between CX and product engineering:

• Resilient Infrastructure Services follows a three-step framework: Exposure Assessment, Infrastructure Modernization, and Defense Resiliency to help customers prepare for advanced threats.
• Quantum Ready Assessments identify assets exposed to “harvest now, decrypt later” attacks and provide a roadmap to quantum-safe infrastructure.

Secure Networking: The Spine of Cisco’s Integrated Platform

No domain better illustrates Cisco’s transformation than Secure Networking. Rather than treating security as a separate stack, Cisco is embedding it directly into the fabric of infrastructure—from silicon to operations. This strategy is manifesting in several concrete ways:

1. Live Protect: Described internally as a “digital immune system,” Live Protect applies precise compensating controls to Cisco products in production to protect against newly discovered vulnerabilities at runtime—without requiring reboots, upgrades, or maintenance windows. It’s already shipping on Nexus 9000 switches and expanding to campus switches, reducing vulnerability mitigation times from weeks to minutes.
2. Hybrid Mesh Firewall: Extends unified security policies across networks, applications, and both Cisco and third-party firewalls, limiting blast radius when incidents occur.
3. Quantum-Safe Commitments: Cisco is embedding post-quantum cryptography libraries, secure boot, and trust anchors across its core portfolio, with a commitment to enable quantum-safe communications capabilities across most products by December 2026. New enterprise and data center routers, switches, and firewall series are launching as “quantum-safe by default.”

All of these capabilities are orchestrated through Cloud Control, which serves as the security command center for what Cisco calls the “post-Mythos era.” With Splunk providing the telemetry backbone and agentic SOC and SRE capabilities, Secure Networking has evolved from point solutions to the spine connecting Cisco’s networking, security, observability, and AI assets.

Multicloud Fabric: Networking as a Service for the AI Era

Another hallmark of the new Cisco is its shift from selling networking toolkits to delivering networking as a managed fabric. Multicloud Fabric, introduced as a network-as-a-service offering through Cloud Control, represents this evolution.

Multicloud Fabric provides enterprises with a single fabric for secure site-to-cloud and cloud-to-cloud networking. Cisco operates virtual points of presence across major cloud providers and regions, allowing customers to:

• Onboard sites and cloud environments with a single click.
• Define intent-based connectivity and attach security policies.
• Monitor performance end-to-end from Cloud Control.

Security and observability are built into the fabric through Zero Trust routing, cloud firewall service chaining, and ThousandEyes agents embedded at each point of presence. This transforms the network from a passive pipe to an active participant in the AI intelligence stack.

The timing of this offering is critical. Cisco’s research shows that AI-first applications generate network traffic patterns that are “many times more complex” than traditional workloads, with much of it being latency-sensitive inference. Multicloud Fabric is Cisco’s response to this new reality, providing the performance and security required for distributed AI workloads.

What This Means for Customers: A Platform, Not Just Products

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 these pieces work together. Patel’s vision of “tightly integrated and loosely coupled” is now becoming reality through Cloud Control, Cisco IQ, Multicloud Fabric, and Secure Networking.

For customers, this transformation matters because it changes the operating model, not just the product lineup. Cloud Control provides IT teams with a single management plane across networking, security, observability, collaboration, and services—replacing the fragmented dashboard experience that has long complicated Cisco environments.

However, this shift also raises the bar for customers. As Cisco pushes AgenticOps, AI Canvas, Live Protect, and Cisco IQ into mainstream adoption, IT teams will need to develop new skills:

• Supervising AI agents rather than manually managing tools.
• Setting policy guardrails for automated actions.
• Validating machine-speed decisions before approval.
• Designing effective prompts and risk-scoring models.

Customers should now view Cisco less as a collection of best-of-breed products and more as an integrated platform. The more of their Cisco estate that is tied to Cloud Control, the greater the value they’ll derive from shared telemetry, unified workflows, embedded security, and cross-domain automation—particularly in areas like Secure Networking and multicloud operations.

Conversely, enterprises that remain heavily heterogeneous will need clear integration strategies and governance models to ensure third-party tools plug safely into Cisco’s new harness. The company is providing tools like the Cloud Control Marketplace to facilitate this, but the responsibility for integration ultimately falls on customers.

The Bigger Picture: Simplifying Complexity in the AI Era

Cisco’s transformation addresses one of the biggest pain points enterprise buyers have faced for decades: complexity. By delivering on its vision of “one login, one view, tighter product integration, and aligned CX services,” the company is making it easier than ever to buy, deploy, and operate its technology stack.

“We’re not just selling products anymore,” Patel remarked during his keynote. “We’re selling outcomes—secure, resilient infrastructure that adapts to the needs of the business in real time. And we’re doing it in a way that reduces complexity rather than adding to it.”

This approach is particularly relevant as enterprises navigate the challenges of digital transformation, cloud migration, and AI adoption. Cisco’s unified platform provides a foundation that can scale from edge to cloud while maintaining consistency in management, security, and observability.

The question now is whether Cisco can maintain this momentum. The company has already made significant progress, but the road ahead will require continued investment in integration, customer education, and the development of new skills within IT organizations. If successful, Cisco could redefine what it means to be a technology infrastructure provider in the AI era.