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Cisco Announces ThousandEyes Connected Devices and Provider Connectivity Assurance

Cisco announced networking innovations that empower service providers to introduce differentiated services and deliver assured, AI-connected experiences at scale.

Cisco’s Agile Services Networking fundamentally evolves how service providers build and operate their networks—opening new ways to monetize the services needed to compete in the AI marketplace. A blueprint for growth, the architecture combines high-speed, feature-rich Silicon One routing, a unified software experience, and converged IP and optics within a single, seamless network. Early adopters of Cisco Agile Services Networking have already vastly improved the performance of their network to cut costs, generate new business, and improve the customer experience.

"The pace of innovation in AI is astounding. Technical breakthroughs are just beginning to translate into new experiences for consumers and applications for businesses that will reshape how the world works and connects,” said Jeetu Patel, Executive Vice President and Chief Product Officer, Cisco. “This shift presents massive opportunities for service providers to grow their businesses and reduce costs by modernizing their infrastructure for AI. Cisco is perfectly positioned to help service providers monetize these new revenue streams, and our Agile Services Networking delivers the silicon, systems, and software innovation they need to thrive."

Cisco expands Agile Services Networking with two new innovations that deliver real-time visibility into both on-network and off-network connectivity for true end-to-end assurance. Combined, these solutions enable visibility from home- and mobile-connected users through to service provider core networks and off-net cloud-delivered services.

  • ThousandEyes Connected Devices: Extends the power of the Cisco ThousandEyes platform to service providers with enhanced visibility across subscriber experiences, from home to off-network services. Now, with insight into last-mile network performance, service providers can mitigate issues before users are impacted and compete on experience, not just speed.
  • Provider Connectivity Assurance: New AI-powered ‘User Experience’ capability enhances mobile service provider network performance. With real-time traffic insights and predictive demand intelligence, service providers can enhance user experience, reduce congestion, maximize speed, and dynamically adjust spectrum usage.   

With enhanced visibility and AI-powered insight, service providers are leveraging assurance for increased customer satisfaction and net promoter scores (NPS), uncovering new opportunities for differentiated services and reducing churn.

Cisco is also introducing new capabilities to its Mobility Services Platform to accelerate revenue growth for service providers, including an application and API ecosystem, and advanced network services for people, spaces, and things — all delivered as a service.

The Latest

While organizations want to take control of their telemetry, building telemetry pipelines from scratch can be a very daunting, complicated task, even when leveraging open-source standards like OpenTelemetry. It requires specialized knowledge across distributed systems, data engineering, and security. This fragmented approach across systems causes higher operational costs; it puts a strain on resources and reduces efficiency as teams have to work with different interfaces and processes ...

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

Enterprises operate different combinations of workloads across cloud, hybrid and multicloud environments. For business-critical workloads, teams need to consider monitoring and observability early so they can detect health issues, investigate failures, and understand operational impact. Organizations place workloads on cloud platforms based on a combination of technical requirements, economics, existing dependencies, organizational standards, and business priorities. Their monitoring priorities therefore depend on what they operate and where those systems run. Those priorities will not look the same for every organization ...

Top-performing businesses prioritize data-driven decision making, enabling leaders to move from intuition and gut feel towards evidence-based judgment. But that judgment is only sound when the data underpinning decisions is accurate. With incident management, data accuracy is particularly important. Long-term revenue, customer trust, and operational stability depend on high-quality data that enables teams to quickly identify and address the root cause of major incidents. Against this backdrop, governance becomes a critical endeavor to ensure the right data drives the right action ...

In MEAN TIME TO INSIGHT Episode 26, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network compliance ... 

Most production autonomous agents do not run in a vacuum. They run inside cloud infrastructure: virtual machines, containers, pods, managed clusters or private servers. That is where most operations teams start monitoring. Is the VM alive? Is the container running? Did the pod restart? Is memory stable? Is CPU too high? Did the health check pass? Those signals are useful. They tell you whether the shell around the agent is alive. They do not tell you whether the agent inside is actually operational ...

Cisco Announces ThousandEyes Connected Devices and Provider Connectivity Assurance

Cisco announced networking innovations that empower service providers to introduce differentiated services and deliver assured, AI-connected experiences at scale.

Cisco’s Agile Services Networking fundamentally evolves how service providers build and operate their networks—opening new ways to monetize the services needed to compete in the AI marketplace. A blueprint for growth, the architecture combines high-speed, feature-rich Silicon One routing, a unified software experience, and converged IP and optics within a single, seamless network. Early adopters of Cisco Agile Services Networking have already vastly improved the performance of their network to cut costs, generate new business, and improve the customer experience.

"The pace of innovation in AI is astounding. Technical breakthroughs are just beginning to translate into new experiences for consumers and applications for businesses that will reshape how the world works and connects,” said Jeetu Patel, Executive Vice President and Chief Product Officer, Cisco. “This shift presents massive opportunities for service providers to grow their businesses and reduce costs by modernizing their infrastructure for AI. Cisco is perfectly positioned to help service providers monetize these new revenue streams, and our Agile Services Networking delivers the silicon, systems, and software innovation they need to thrive."

Cisco expands Agile Services Networking with two new innovations that deliver real-time visibility into both on-network and off-network connectivity for true end-to-end assurance. Combined, these solutions enable visibility from home- and mobile-connected users through to service provider core networks and off-net cloud-delivered services.

  • ThousandEyes Connected Devices: Extends the power of the Cisco ThousandEyes platform to service providers with enhanced visibility across subscriber experiences, from home to off-network services. Now, with insight into last-mile network performance, service providers can mitigate issues before users are impacted and compete on experience, not just speed.
  • Provider Connectivity Assurance: New AI-powered ‘User Experience’ capability enhances mobile service provider network performance. With real-time traffic insights and predictive demand intelligence, service providers can enhance user experience, reduce congestion, maximize speed, and dynamically adjust spectrum usage.   

With enhanced visibility and AI-powered insight, service providers are leveraging assurance for increased customer satisfaction and net promoter scores (NPS), uncovering new opportunities for differentiated services and reducing churn.

Cisco is also introducing new capabilities to its Mobility Services Platform to accelerate revenue growth for service providers, including an application and API ecosystem, and advanced network services for people, spaces, and things — all delivered as a service.

The Latest

While organizations want to take control of their telemetry, building telemetry pipelines from scratch can be a very daunting, complicated task, even when leveraging open-source standards like OpenTelemetry. It requires specialized knowledge across distributed systems, data engineering, and security. This fragmented approach across systems causes higher operational costs; it puts a strain on resources and reduces efficiency as teams have to work with different interfaces and processes ...

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

Enterprises operate different combinations of workloads across cloud, hybrid and multicloud environments. For business-critical workloads, teams need to consider monitoring and observability early so they can detect health issues, investigate failures, and understand operational impact. Organizations place workloads on cloud platforms based on a combination of technical requirements, economics, existing dependencies, organizational standards, and business priorities. Their monitoring priorities therefore depend on what they operate and where those systems run. Those priorities will not look the same for every organization ...

Top-performing businesses prioritize data-driven decision making, enabling leaders to move from intuition and gut feel towards evidence-based judgment. But that judgment is only sound when the data underpinning decisions is accurate. With incident management, data accuracy is particularly important. Long-term revenue, customer trust, and operational stability depend on high-quality data that enables teams to quickly identify and address the root cause of major incidents. Against this backdrop, governance becomes a critical endeavor to ensure the right data drives the right action ...

In MEAN TIME TO INSIGHT Episode 26, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network compliance ... 

Most production autonomous agents do not run in a vacuum. They run inside cloud infrastructure: virtual machines, containers, pods, managed clusters or private servers. That is where most operations teams start monitoring. Is the VM alive? Is the container running? Did the pod restart? Is memory stable? Is CPU too high? Did the health check pass? Those signals are useful. They tell you whether the shell around the agent is alive. They do not tell you whether the agent inside is actually operational ...