Operations | Monitoring | ITSM | DevOps | Cloud

Effective IT event management is about more than restoring services. Managing and mitigating threats involves a comprehensive approach with five incident response phases: It’s crucial to take a structured approach to addressing disruptive events. Incident response involves multiple phases to minimize the impact and prevent service outages. An “incident” is any event that disrupts normal operations or threatens your information systems.

Cybersecurity today is not just about defending against attacks. It’s about proactively managing risks in a landscape where threats are growing in volume and sophistication. With data volumes rising by 30% in just the past year and the average cost of a data breach now exceeding $4 million, traditional Security Information and Event Management (SIEM) systems are no longer enough.

IT incident management focuses on quickly identifying and resolving IT issues to restore normal service operations. Tracking key performance indicators (KPIs) of incident response is vital in minimizing service disruptions affecting customers and users. With so much data and many things to track, it’s difficult to identify which metrics and KPIs are right to track. What are the right incident response metrics to use to drive meaningful improvements?

The most time-consuming part of incident resolution is a data problem. Who owns this service? What's it made of? What are the dependencies? Where are the run books? Learn how Cortex cuts incident response time and prevents new issues with up-to-date ownership, reliable runbooks, and Scorecards that drive continuous improvement.

Incidents can happen anywhere at any time. They can be small, well-defined, and easily contained. They can be large, messy, and complex, like the major outage we saw recently. Or they can be somewhere in between. When incidents occur, mobilizing and coordinating responders is crucial to restoring service, protecting the customer experience, and mitigating business risks.

Most IT leaders realize that automating repetitive, low-level incident response actions is vital to multiple benefits. To name just a few, these include: In IT, incident response refers to addressing any event that disrupts normal service, application, security operation, or performance. Using AI and machine learning, automation addresses incident analysis, detection, investigation, triage, and response. The question is often identifying where to start or the best approach.

Today marks a particularly challenging day for incident responders across the globe. As many of you may have noticed, a recent update from CrowdStrike has triggered widespread disruptions, causing chaos in various sectors. The ripple effects have been far-reaching and severe: While the technical specifics of the issue might not be the focus here—and indeed, there are experts better suited to dissect the cause—what's crucial is understanding the impact on those who manage such crises.

It's 2 a.m. and your engineering team is sound asleep when suddenly a barrage of alerts start flooding in. A critical service is down and customers are complaining. Your developers scramble to sift through the noise, identify the root cause, and fix the issue—all while racing against the clock to meet tight SLOs.

IT complexity expands every year, nudging up the possibility of unforeseen consequences, such as outages and other disruptions to operations. Runbooks are a great way to ensure your team knows exactly what to do when incidents arise.