Skip to main content

New Cisco ThousandEyes Capabilities Deliver Digital Experience Assurance

Cisco announced new Cisco ThousandEyes capabilities that deliver Digital Experience Assurance.

By utilizing robust telemetry data and AI-native technology, customers can now achieve digital resilience and transition from reactive to proactive operations by assuring user digital experience across domains for both owned and unowned environments.

“A majority of outages are caused by operator error. To empower our customers to achieve digital resilience, we harness more than 650 billion daily measurements and utilize the power of AI across the global area network to go beyond human-scale operations,” said Jonathan Davidson, EVP and GM, Cisco Networking. “Digital Experience Assurance powered by ThousandEyes enables proactive, automated event remediation and can even correlate configuration histories across owned infrastructure and your public cloud infrastructure with experiences, which can mean the difference between a 4-hour outage and a 4-minute disruption.”

Cisco ThousandEyes collects and processes billions of daily measurements from both customer owned and unowned networks. It provides automated insights, proactive recommendations, and closed-loop operations tailored to customers. Now powering Digital Experience Assurance for Cisco Networking Cloud, ThousandEyes ingests device and telemetry data from across Cisco networking platforms, including Meraki and Catalyst. Leveraging AI, ThousandEyes surfaces insights and recommendations, and automatically feeds them to customers’ domain controllers and management systems. According to a commissioned Total Economic Impact™ study conducted by Forrester Consulting on behalf of Cisco, a composite organization representative of interviewed ThousandEyes customers reported a significant improvement in IT productivity and user experience. Mean time to resolution (MTTR) of issues decreased by 50-80%, and IT team productivity increased by more than 50%.

ThousandEyes Digital Experience Assurance already delivers AI-native assurance capabilities across Cisco Networking, including AI radio resource management (RRM) for Cisco Catalyst wireless, capacity planning for Cisco Catalyst SD-WAN, and device profiling with AI-based signatures for Cisco Identity Services Engine.

The announcements include:

- ThousandEyes Cloud Insights extends end-to-end visibility deep into public cloud environments by providing topological mappings of its customers’ AWS environments, including service connectivity, configuration changes, and traffic characteristics. By correlating cloud infrastructure and services with user experience, application health, and end-to-end network paths, ThousandEyes delivers deep insight for network, SRE, and cloud operations teams, so they can rapidly identify and resolve their most challenging issues.

- ThousandEyes Traffic Insights extends ThousandEyes visibility deeper into on-premises networks by collecting and correlating traffic flows with its synthetics measurements, enabling customers to rapidly detect performance issues and pinpoint them to real traffic bottlenecks and anomalies within their networks. By providing a unified view of external and internal network conditions, customers can streamline their operational workflows and reduce their mean time to identify (MTTI) and remediate issues—regardless of whether they own the network or not.

- ThousandEyes will support flow collection for both Cisco and non-Cisco networking platforms.

- ThousandEyes Endpoint Experience is now enriched with Meraki Wi-Fi and Local Area Network (LAN) telemetry and device information, enabling customers to gain deeper insight into local network issues impacting user experience.

- Meraki Assurance Overview is now powered by ThousandEyes Internet and SaaS visibility, empowering customers with insight into performance beyond their Meraki Wi-Fi and LAN environment to rapidly pinpoint issues across owned and unowned domains.

The Latest

Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...

Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

New Cisco ThousandEyes Capabilities Deliver Digital Experience Assurance

Cisco announced new Cisco ThousandEyes capabilities that deliver Digital Experience Assurance.

By utilizing robust telemetry data and AI-native technology, customers can now achieve digital resilience and transition from reactive to proactive operations by assuring user digital experience across domains for both owned and unowned environments.

“A majority of outages are caused by operator error. To empower our customers to achieve digital resilience, we harness more than 650 billion daily measurements and utilize the power of AI across the global area network to go beyond human-scale operations,” said Jonathan Davidson, EVP and GM, Cisco Networking. “Digital Experience Assurance powered by ThousandEyes enables proactive, automated event remediation and can even correlate configuration histories across owned infrastructure and your public cloud infrastructure with experiences, which can mean the difference between a 4-hour outage and a 4-minute disruption.”

Cisco ThousandEyes collects and processes billions of daily measurements from both customer owned and unowned networks. It provides automated insights, proactive recommendations, and closed-loop operations tailored to customers. Now powering Digital Experience Assurance for Cisco Networking Cloud, ThousandEyes ingests device and telemetry data from across Cisco networking platforms, including Meraki and Catalyst. Leveraging AI, ThousandEyes surfaces insights and recommendations, and automatically feeds them to customers’ domain controllers and management systems. According to a commissioned Total Economic Impact™ study conducted by Forrester Consulting on behalf of Cisco, a composite organization representative of interviewed ThousandEyes customers reported a significant improvement in IT productivity and user experience. Mean time to resolution (MTTR) of issues decreased by 50-80%, and IT team productivity increased by more than 50%.

ThousandEyes Digital Experience Assurance already delivers AI-native assurance capabilities across Cisco Networking, including AI radio resource management (RRM) for Cisco Catalyst wireless, capacity planning for Cisco Catalyst SD-WAN, and device profiling with AI-based signatures for Cisco Identity Services Engine.

The announcements include:

- ThousandEyes Cloud Insights extends end-to-end visibility deep into public cloud environments by providing topological mappings of its customers’ AWS environments, including service connectivity, configuration changes, and traffic characteristics. By correlating cloud infrastructure and services with user experience, application health, and end-to-end network paths, ThousandEyes delivers deep insight for network, SRE, and cloud operations teams, so they can rapidly identify and resolve their most challenging issues.

- ThousandEyes Traffic Insights extends ThousandEyes visibility deeper into on-premises networks by collecting and correlating traffic flows with its synthetics measurements, enabling customers to rapidly detect performance issues and pinpoint them to real traffic bottlenecks and anomalies within their networks. By providing a unified view of external and internal network conditions, customers can streamline their operational workflows and reduce their mean time to identify (MTTI) and remediate issues—regardless of whether they own the network or not.

- ThousandEyes will support flow collection for both Cisco and non-Cisco networking platforms.

- ThousandEyes Endpoint Experience is now enriched with Meraki Wi-Fi and Local Area Network (LAN) telemetry and device information, enabling customers to gain deeper insight into local network issues impacting user experience.

- Meraki Assurance Overview is now powered by ThousandEyes Internet and SaaS visibility, empowering customers with insight into performance beyond their Meraki Wi-Fi and LAN environment to rapidly pinpoint issues across owned and unowned domains.

The Latest

Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...

Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...