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Kyndryl Introduces Agentic AI Capability

Kyndryl unveiled a new patented capability in Kyndryl Bridge – the company's Al-powered, open integration platform – that is enabling customers to automatically detect and resolve IT risks before they escalate into business-impacting outages.

"By embedding AI agents in Kyndryl Bridge for proactive risk detection, we are transforming IT operations from reactive outage recovery to proactive, evidence-based prevention," said Xerxes Cooper, Global Leader, Kyndryl Delivery. "Correlating millions of observability signals across applications and deep infrastructure helps our customers see and resolve issues before they ever feel them."

This proactive approach is powered by AI-agent assisted root cause analysis within Kyndryl Bridge, enabled across more than 200,000 customer devices to identify the underlying conditions that commonly precede outages. By accelerating analysis that once required extensive manual investigation, the platform enables teams to surface actionable insights faster – supporting earlier intervention and reducing the impact of complex incidents across hybrid and multi-vendor environments.

At scale, this advanced capability radically reduces the time required to complete root-cause analysis of major IT incidents, allowing organizations to complete reports in hours instead of weeks. Kyndryl experts review and validate the generated insights for operational context and alignment with customer environments.

Kyndryl's new prediction and prevention feature brings evidence-based intelligence to enable predictive failure detection within IT operations by extending unified observability across a customer's full IT landscape.

The patented feature dynamically identifies patterns that matter and validates causal relationships between application slowdowns, infrastructure contention, configuration changes, and operational events. It does so by analyzing and delivering insights into how small anomalies accumulate and propagate across IT layers. This transforms IT operations from reactive recovery to proactive prevention, enabling teams to intervene early and reduce downtime across complex, multi-vendor environments.

This capability handles early detection at scale for 10 million-plus incidents annually and has demonstrated upwards of a 90% reduction in mission-critical production outages for certain customers.

This Kyndryl Bridge patented capability is now fully available to Kyndryl customers.

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Kyndryl Introduces Agentic AI Capability

Kyndryl unveiled a new patented capability in Kyndryl Bridge – the company's Al-powered, open integration platform – that is enabling customers to automatically detect and resolve IT risks before they escalate into business-impacting outages.

"By embedding AI agents in Kyndryl Bridge for proactive risk detection, we are transforming IT operations from reactive outage recovery to proactive, evidence-based prevention," said Xerxes Cooper, Global Leader, Kyndryl Delivery. "Correlating millions of observability signals across applications and deep infrastructure helps our customers see and resolve issues before they ever feel them."

This proactive approach is powered by AI-agent assisted root cause analysis within Kyndryl Bridge, enabled across more than 200,000 customer devices to identify the underlying conditions that commonly precede outages. By accelerating analysis that once required extensive manual investigation, the platform enables teams to surface actionable insights faster – supporting earlier intervention and reducing the impact of complex incidents across hybrid and multi-vendor environments.

At scale, this advanced capability radically reduces the time required to complete root-cause analysis of major IT incidents, allowing organizations to complete reports in hours instead of weeks. Kyndryl experts review and validate the generated insights for operational context and alignment with customer environments.

Kyndryl's new prediction and prevention feature brings evidence-based intelligence to enable predictive failure detection within IT operations by extending unified observability across a customer's full IT landscape.

The patented feature dynamically identifies patterns that matter and validates causal relationships between application slowdowns, infrastructure contention, configuration changes, and operational events. It does so by analyzing and delivering insights into how small anomalies accumulate and propagate across IT layers. This transforms IT operations from reactive recovery to proactive prevention, enabling teams to intervene early and reduce downtime across complex, multi-vendor environments.

This capability handles early detection at scale for 10 million-plus incidents annually and has demonstrated upwards of a 90% reduction in mission-critical production outages for certain customers.

This Kyndryl Bridge patented capability is now fully available to Kyndryl customers.

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Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...

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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 ...

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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 ... 

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