New ThousandEyes Product Innovations: Cisco Live June 2025

Editor's Notes

• #5: Network complexity is one of the biggest threats to delivering resilient digital experiences today. For global enterprises, IT and security-related downtime costs more than 400 billion dollars annually in direct expenses and lost revenue. The ripple effects are even broader: slower innovation, damaged brand reputation, and eroded customer and shareholder confidence. Why is this so hard to solve? Because modern applications and networks are no longer monolithic. They're built from distributed components running across cloud services, CDNs, SaaS platforms, and internal infrastructure—some owned, many not. For an experience to reach a user, an application must successfully traverse this entire delivery chain. And anywhere along that path, something can fail: a DDoS attack, a regional outage, a misconfigured API, degraded ISP performance, or a service error from a third-party provider. This isn’t just an operations issue—it’s a data problem. The visibility gap across these domains leaves teams with fragmented insights, blind spots, and too many false leads. And IT teams are still held accountable, even when the root cause lies in infrastructure outside of their control. Most monitoring tools stop at what you own. They show you symptoms without context, leaving teams chasing problems that they can’t see or fix directly. But to meet today’s demands and prepare for the future, that’s no longer enough. Opening: The Stakes In 2025, IT’s mission has evolved. Managing your own infrastructure is still critical—but it's only part of the equation.​ Digital experiences now span home Wi-Fi, public Internet, SaaS, cloud, and AI agents—far beyond what you directly control.​ Three key trends are driving this shift:​ Connectivity is fluid—users and apps move constantly across hybrid, multi-cloud environments​ Experience is the new uptime—users judge your performance across the full path​ In this world, success means managing what you own—and assuring what you don’t. (Optional audience prompt: Think back—how long did it take you to troubleshoot the last major user-impacting issue? And did you own the root cause?)
• #6: Operational Pressure Is Growing At the same time, pressure on operations teams is intensifying. Alert volumes are exploding. One Fortune 50 company is already seeing 170,000 alerts—and expects that to triple with AI expansion. AI workloads require sub-50ms response times, far beyond what most workflows were designed to handle. And there’s a workforce challenge. 64% of organizations expect a shortage in skilled IT and network talent by 2026.
• #7: Why Traditional Models Fall Short Modern application environments—especially those augmented by AI—exceed what traditional tools can handle. Siloed systems, reactive workflows, and manual troubleshooting can’t scale. To meet this moment, we need a fundamentally different operational model—one that simplifies, prioritizes, and automates action.
• #8: AI’s Impact on Network Design and Behavior AI is fundamentally reshaping digital infrastructure. It’s not simply a new workload—it changes traffic behavior, system interactions, and architectural requirements. AI agents generate high-volume, unpredictable traffic and trigger real-time interactions across domains. Think of something like Microsoft Copilot, firing off dozens of API calls across SaaS platforms. Or AI-powered support tools delivering real-time chat or voice. Even a few milliseconds of latency can impact quality. These interactions move fluidly across clouds, data centers, and APIs—creating new east-west and cross-domain complexity. The challenge now is: how do you evolve operations to support this shift?
• #9: Flexible Deployment Wherever your network operates—cloud, on-prem, hybrid—ThousandEyes meets you there. With unified operations, end-to-end visibility, AI-driven insights, and closed-loop workflows, we support whatever comes next.
• #10: Transition to Platform Let’s look at how we deliver that confidence through multilayered assurance—combining visibility, intelligence, and automation across every layer. Cisco’s Approach to Digital Resilience At Cisco, we define digital resilience as the ability to deliver great experiences—even in the face of disruption. ThousandEyes is core to that strategy. What makes our platform different comes down to three foundational capabilities: End-to-End Visibility: Millions of vantage points and billions of daily measurements, fully integrated across Cisco’s portfolio AI-Driven Intelligence: Automated insights that identify root causes, prioritize critical issues, and guide optimization Closed-Loop Operations: Fast resolution with automated workflows, curated alerts, and integrations via APIs, webhooks, and OpenTelemetry We’re continuously expanding this reach—from LAN and WAN to SaaS, public cloud, and the edge.
• #12: Multi-Cloud Assurance: Cloud Insights for Azure   We’re building on the momentum we’ve seen with Cloud Insights for AWS and extending those capabilities across Azure. The value is the same: giving customers a clearer view into cloud blindspots—one of the most opaque areas of their environment.   Cloud deployments are dynamic and complex. It’s hard for teams to know what’s running where, how it’s performing, or what’s changed. That lack of visibility creates delays, escalations, and missed SLOs.   Cloud Insights automatically discovers cloud infrastructure, detects configuration or operational changes, and correlates those changes with performance issues—so teams can troubleshoot quickly, avoid disruptions, and optimize delivery.   Customers can now monitor AWS and Azure resources with the same depth they expect from ThousandEyes—tracking traffic flows, seeing cloud topologies, and correlating events to network behavior. This is especially valuable in hybrid and multi-cloud environments, where customers manage multiple accounts, services, and dependencies—yet are still responsible for consistent performance.   For partners, this extends assurance into a fast-growing space. You can help customers manage performance across multiple clouds as if they were part of one environment. That means faster root cause analysis, cleaner service mapping, and more reliable operations.   It’s a clear differentiator—no other solution ties cloud inventory, config events, and network telemetry into one experience like this. And it’s a great way to expand ThousandEyes usage across cloud teams and platform owners.
• #13: Mobile Endpoint Agent for Android   Next--an Endpoint Agent for Android devices—especially those used in frontline environments—think scanners in a warehouse, field devices in logistics, mobile checkouts in retail. When these devices freeze or lose connectivity, it doesn’t just impact IT—it disrupts the whole business.   The Android agent brings full visibility into those mobile devices and how they connect to applications, Wi-Fi, or upstream infrastructure. It’s compatible with Zebra and Honeywell devices, supports MDM, and feeds data directly into ThousandEyes.   This is a high-value use case for verticals like retail, logistics, and manufacturing. And with over 4 million eligible devices in market, it’s a major growth opportunity for partners focused on endpoint assurance and mobility.
• #14: Assurance for Industrial IoT (IIoT)   We’ve also extended assurance deeper into industrial networks. As OT environments grow more connected, industrial networks are facing the same visibility challenges we’ve solved in enterprise IT.   ThousandEyes now runs natively on Cisco industrial routers and switches—so customers can monitor performance across manufacturing lines, roadside infrastructure, or critical pipeline systems.   This gives both IT and OT teams a shared view of network health, with built-in telemetry and alerting across hard-to-reach environments.   For partners, this creates new cross-sell motion with existing IIoT customers where assurance can support compliance, uptime, and modernization efforts.
• #15: Advancing Network Assurance   We’re evolving network assurance with a set of new capabilities that give teams stronger visibility, deeper insight, and more control—whether they’re working inside a Cisco environment or across third-party infrastructure.   This release brings together traffic, telemetry, and routing intelligence with a tighter integration into SD-WAN and Catalyst. ThousandEyes now provides clearer SD-WAN path analysis, config-aware traffic views, and AI-powered ISP selection based on real-time performance modeling.   It’s built to cut through the noise. Teams can see how a change in policy or routing affects user experience within seconds. They can pinpoint which provider is introducing latency, or whether a configuration push degraded throughput.   These improvements reduce manual triage, improve planning, and help customers shift from reactive troubleshooting to informed decision-making.   For partners, this creates new ways to activate existing entitlements, drive platform expansion, and bring differentiated value through integration, simplification, and better outcomes.
• #17: ThousandEyes + Splunk Integration   With this release, ThousandEyes and Splunk come together to offer unified visibility across application, infrastructure, and network layers.   This integration connects ThousandEyes intelligence directly into Splunk ITSI and service maps, allowing teams to trace incidents across the full delivery path. They can immediately tell whether a slowdown stems from a service, a dependency, or a network condition.   This supports faster resolution, more focused collaboration, and a stronger understanding of how different domains interact—especially for teams managing distributed environments and third-party services.   For partners, this opens conversations beyond the traditional networking space. It helps you position assurance alongside observability, creates opportunities to support incident response and change management initiatives, and deepens your role with both ThousandEyes and Splunk customers.
• #18: Cisco AI Assistant for ThousandEyes   And finally--the Cisco AI Assistant for ThousandEyes gives users a faster, more guided way to interact with the platform—from setup to analysis to maintenance.   It summarizes test data, explains alerts in plain terms, and helps teams understand what’s happening in their environment without delay. It also provides context-aware answers pulled from documentation and product behavior, which shortens time-to-resolution and lowers reliance on specialists.   This makes ThousandEyes easier to operationalize across more roles—whether it’s a frontline analyst triaging incidents, or an architect planning coverage and test strategies.   Partners benefit through broader adoption across teams, smoother onboarding, and higher overall engagement. The assistant strengthens the platform’s reach and makes it more approachable, especially for organizations scaling their use of assurance.
• #21: Cisco Advantage What makes this possible is our integration across the full stack: Embedded Agents across Catalyst, SD-WAN, and Nexus Experience Insights in Cisco Secure Access Monitoring baked into Webex RoomOS and Control Hub Full observability workflows in Splunk This is assurance, built in—not bolted on.
• #22: JZ to cover Feature videos Cisco Live Announcement Blog Post ThousandEyes Support Community at the end of your slides? We’re trying to push customers to start using it more; link below: cs.co/TESupport