Webinar: Why network incidents take too long to resolve
Recorded: May 28, 2026, 1:03 p.m.
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Most organizations possess numerous monitoring tools, alerts, and operational data; however, many network incidents still experience prolonged investigation and resolution times. This delay stems from the fact that even when an initial alert is generated, responders face significant bottlenecks when attempting to gather necessary context, identify affected systems, determine ownership, and coordinate actions across disparate systems and teams. These manual coordination efforts inevitably increase downtime and slow the overall recovery process. The webinar, titled "From alert to resolution: Fixing the gaps in network incident response," examines why these investigation processes slow down following the initial alert. The core challenge lies in the transition from rapid detection to effective, coordinated action. The subsequent discussion focuses on leveraging automation and artificial intelligence assisted workflows to significantly accelerate response efforts by reducing the manual investigative workload. The presentation delves into various stages where inefficiencies occur in real-world incident handling. It explores how network incidents typically evolve from the initial alert to tangible service impact and highlights where the critical processes of triage, enrichment, and routing often break down within existing workflows. A key focus is demonstrating how automation and AI can be deployed to automatically enrich alerts with essential network, identity, and threat context, thereby eliminating manual data gathering. Furthermore, the webinar addresses techniques for prioritizing and routing incidents without requiring manual intervention, advocating for a shift from a fragmented response approach to a unified, coordinated resolution across all impacted systems. Ultimately, the goal is to illustrate how solutions, such as those offered by tools like Tines, can connect operational systems and automate repetitive tasks, allowing IT teams to concentrate their efforts on resolving complex issues rather than managing extensive coordination delays. |