As networks grow more complex, AI is essential for managing the scale of operations. But left unchecked, AI models can drift, and automated routing changes can lead to unintended consequences. To move from reactive monitoring to AgenticOps, you need a safety net that helps ensure every autonomous action is safe, accurate, and aligned with business goals.
AI needs clear vision to act. The ThousandEyes platform ingests hundreds of billions of daily measurements to baseline performance and detect anomalies in real time across owned and unowned networks. By filtering signal from noise, ThousandEyes provides the visibility needed to help ensure AI systems focus on the specific issues that truly impact the digital experience.
Don’t just guess, know. The ThousandEyes platform correlates telemetry across enterprise, cloud, and Internet layers to help identify the precise source of disruption, empowering AI to understand the "why" behind the issue, helping to speed up resolution.
Move from reactive troubleshooting to proactive resilience with the Cisco AI Assistant integrated into ThousandEyes. Whether it’s rerouting traffic or adjusting QoS, ThousandEyes provides actionable insights to help orchestrate the response needed to minimize impact on users and business operations.
Speed is a liability without certainty. ThousandEyes acts as a continuous validation layer, helping you assess potential impacts before changes are applied and helping to confirm that performance goals are met afterward. It helps ensure AI-driven decisions align with your business intent.
AI assistants are transforming IT operations, but critical monitoring data is often trapped in dashboards and APIs. The Cisco ThousandEyes Model Context Protocol (MCP) Server unlocks that data, providing AI-driven access to ThousandEyes insights through a lightweight, open standard.
With rich troubleshooting tools spanning the entire incident lifecycle, teams can identify issues faster, accelerate resolution, and extend ThousandEyes intelligence across their AI-driven infrastructure.
ThousandEyes is now integrated directly into Cisco AI Canvas, bringing Internet and end-to-end experience visibility into the heart of networking workflows. By surfacing alerts, path intelligence, and endpoint insights in context, NetOps teams can pinpoint issues across owned and unowned environments, without swivel-chair troubleshooting, cutting resolution time significantly.
Pinpoint performance issues across network, cloud, and SaaS with in-context Internet and path visibility.
Correlate alerts and events in near real-time to confirm when ThousandEyes detects an issue.
Isolate root cause from endpoint to application across user devices, local networks, and external dependencies.
Streamline troubleshooting workflows with AI Canvas, driven, context-aware operations.
Reduce MTTR at scale with unified, cross-domain diagnostics.
Experience Metrics transforms fragmented telemetry into a continuous, experience-based signal that humans and agentic agents can act on in real time. Instead of chasing alerts, NetOps teams operate from a trusted source of truth, where intelligent workflows prioritize issues, guide decisions, and trigger actions based on actual user impact. The result is faster resolution, fewer blind spots, and operations that move at machine speed with built-in trust.
Measure actual user experience continuously across wired, wireless, WAN, cloud, and SaaS environments.
Correlate signals across domains to reduce noise and surface what actually impacts users.
Prioritize issues by real user impact with dynamic, experience-based scoring.
Pinpoint root cause faster with cross-domain context tied directly to experience degradation.
Feed actionable insights into Agentic Actions to accelerate remediation and closed-loop operations.
Agentic Actions transforms detection into decisive, human or agent-driven execution, where issues are not just identified, but automatically investigated, prioritized, and resolved. By combining AI-driven correlation with agentic workflows, NetOps teams move from reactive troubleshooting to continuous, closed-loop operations, acting faster, with confidence and built-in control. The result is operations at machine speed, where actions are guided, governed, and validated.
Detect and prioritize issues automatically using AI-driven correlation across domains.
Diagnose root cause with agentic workflows that investigate across network, cloud, and Internet paths.
Execute remediation instantly through guided actions, automation, or autonomous agents.
Validate actions in real time with before-and-after experience outcomes.
Maintain control with built-in governance across automation and agentic operations.
Many of the products and features described herein remain in varying stages of development and will be offered on a when-and-if-available basis. The delivery timeline of these products and features is subject to change at the sole discretion of Cisco, and Cisco will have no liability for delay in the delivery or failure to deliver any of the products or features set forth in this document.
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