Catchpoint, the global leader in Internet Performance Monitoring (IPM), announced the launch of two pioneering AI-powered capabilities designed to simplify digital resilience for critical applications: Catchpoint Root Cause Analysis (RCA) and Catchpoint Advisor. These innovations are intended to enhance monitoring posture and deliver immediate insights into IT incidents, eliminating guesswork in incident response.
As organizations increasingly embed AI into critical workflows, treating AI systems as tier-1 applications demands more robust performance monitoring and resilience practices. Slow detection and incomplete monitoring strategies can lead to prolonged outages, revenue loss, and diminished trust from end users. Catchpoint asserts that many companies do not become aware of issues until users complain—highlighting the urgent necessity for proactive monitoring tools for AI-enabled workflows.
Catchpoint Root Cause Analysis quickly identifies outages and isolates the primary service responsible for disruptions, reporting findings clearly without requiring manual inspection of every dependency. Built upon Catchpoint’s Internet Stack Map dependency map and powered by event intelligence, RCA analyzes backend waterfall data to deliver contextualized diagnostics of service failures.
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Key Benefits: Early warning signals; faster detection of problems across complex service stacks. IT teams gain clarity not just that a problem exists, but also what is likely responsible.
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Availability: RCA is offered to all Catchpoint customers at no additional cost.
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Catchpoint Advisor delivers recommendations rooted in best practices, guiding IT operations teams to ensure that monitoring strategies cover critical services and provide visibility needed for resilient performance. As customers employ Stack Map for insight into internal and external service dependencies, Catchpoint’s AI engine suggests appropriate combinations of tests, Internet Sonar coverage, and pre-configured alerts.
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Feature Details: Recommends adding both existing and new tests to cover dependencies; suggests Internet Sonar for monitored and unmonitored services; pre-configures test types (e.g. HTTP Web, Web Chrome (Playwright), SSL, Traceroute, DNS Experience, DNS Direct); identifies gaps in monitoring assets.
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Pricing: Advisory recommendations are included at no cost; charges apply only for any new Sonar services or test additions.
Mehdi Daudi, co-founder and CEO of Catchpoint, stated: “AI should remove complexity, not add to it. With these new AI-powered capabilities, Catchpoint is making it dramatically easier for organizations to achieve proactive visibility across their critical applications. By embedding clear, actionable intelligence, we’re ensuring customers can identify and resolve issues faster than ever before — without guesswork.”
Matt Izzo, Chief Product Officer at Catchpoint, added: “There is a lot of AI-washing in the industry, we do not want to add AI capabilities just to check the box, We have been investing in AI for many years now, with a very clear focus on the practical value of this capabilities: improving resilience of complex distributed applications and making life easier for IT operations teams.”
These capabilities build on Catchpoint’s long-standing investment in AI and complement its existing solutions for monitoring the resilience and performance of AI systems, agents, and infrastructure.
Source: Businesswire