Cisco's ThousandEyes Unveils AI-Powered Solution to Predict and Resolve Internet Outages

Cisco's ThousandEyes internet monitoring unit introduced new AI-powered features on Tuesday, designed to significantly improve the prediction and diagnosis of internet outages and disruptions.

The new AI technology, named Digital Experience Assurance (DXA), allows Cisco's networking customers to automatically address network quality issues, moving beyond the current monitoring-focused capabilities of ThousandEyes' software.

"Google Maps of the Internet"

Cisco ThousandEyes refers to itself as the "Google Maps" of the internet due to its comprehensive view of users and applications across any network. Founded 15 years ago, the company has heavily invested in AI in recent years, culminating in the AI-focused enhancements of its platform. These changes aim to provide clients with greater visibility into network quality and resilience.

Joe Vaccaro, vice president and general manager of ThousandEyes, explained that DXA enables clients to resolve issues before they impact users and to predict potential problems, allowing for proactive measures. This capability moves beyond traditional metrics and monitoring towards a closed-loop system that ensures optimal digital experiences.

Enhanced Capabilities

DXA offers businesses the ability to correlate, analyze, diagnose, predict, optimize, and remediate issues with minimal manual intervention. The platform is powered by over 650 billion daily measurements collected globally, providing visibility into both on-premises and cloud environments. It builds on ThousandEyes’ Event Detection technology, which already significantly reduces the time required to detect disruptions.

AI-Generated Internet Status Reports

Vaccaro also mentioned a forthcoming product that will enable users to generate AI-created scripts displaying the status of global ISPs, public cloud, and edge service networks, as well as an application’s network connection. This development will automate tasks currently performed manually, leveraging large language models foundational to generative AI systems like ChatGPT and Google Gemini.

The anticipated release of this new product aligns with the broader industry trend towards AI, exemplified by the rapid success of ChatGPT, which achieved 100 million users shortly after its launch by OpenAI. This trend has driven significant AI advancements across various industries.