Enhanced incident intelligence and AI-based root cause analysis

Incident Intelligence from BigPanda provides powerful Artificial Intelligence and Machine Learning-driven alert correlation to rapidly detect, triage, and resolve incidents.

Data Engineering

Automatically correlate, triage, and investigate interrelated IT incidents

Incident Intelligence identifies patterns and relationships between disparate alerts across your IT environment, giving responders the actionable insights they need to rapidly prioritize and resolve incidents.

Automated alert correlation

Operator-defined or ML-suggested correlation patterns bundle alerts from different components within the IT environment to determine if seemingly isolated alerts are interconnected and part of the same incident.

Holistic incident view

Ingest and enrich incidents with CMDB, change and other topology sources to reveal a comprehensive understanding of an incidents’ scope.

Incident classification and prioritization

Empower your teams to quickly classify and prioritize incidents based on their severity, business impact and potential risk. Create incident tags based on formula calculations to automate and keep prioritization up to date.

AI-driven root cause analysis

BigPanda AI automatically identifies the underlying reason for issues or incidents in complex and dynamic IT environments by Automated Incident Analysis and Root Case Changes to deliver faster incident resolution.

The power of Incident Intelligence

Faster incident detection

“For us, an alert is not actionable unless it comes into BigPanda, is enriched, and is potentially correlated with the other alerts in the system.”

Jon Moss
Head of Software Engineering at Zayo

Real-time incident triage

“BigPanda helps us detect incidents and uncover probable root cause in real-time, which significantly reduces our MTTR.”

Michael Lorenzo
Senior Director of Operations for the Global NOC
at FreeWheel

Reduced escalations and tickets

“With BigPanda we achieved a 94% reduction in alert noise, which allowed us to consolidate our previous 2,500 alerts a day into 150 actionable events.”

Sanjay Chandra
CIO at TiVo


How does incident intelligence help reduce MTTR?

With BigPanda, ITOps teams can dramatically accelerate their IT incident response, triage and resolution times. One example is automated real-time root cause analysis, which is essential when working to reduce incident mean-time-to-resolution.

What is the role of generative AI in IT automation and IT incident response?

Generative AI can automatically analyze and summarize incidents, identify patterns, suggest root causes in real-time, and provide valuable insights to operators. It can also act as a smart assistant for ITOps, SREs, and DevOps teams, greatly reducing stress and improving incident response. Our early adopters have found it greatly reduces the amount of time spent per incident.

How does incident intelligence make AIOps more proactive?

BigPanda offers incident management capabilities as part of our AIOps platform to help IT teams correlate events generated by different components and systems into interconnected, actionable incidents. This helps speed up the process of IT incident management to include incident detection, investigation, and resolution. With BigPanda, IT teams can proactively address incidents before they become outages, automatically determine the causes behind those incidents, and automatically present clear incident details for rapid resolution.

How does BigPanda differ from legacy event management tools?

Legacy event management tools, such as Netcool or CA Spectrum, struggle to adapt to the complexities of modern IT environments, especially supporting the transition to hybrid cloud, microservices, and CI/CD pipelines. Finding skilled professionals to adapt legacy tools to modern settings is exponentially more challenging and expensive, while the cost of maintaining legacy event solutions to support a modern IT environment is a significant concern. To address these and other challenges, BigPanda’s SaaS model, AI and ML and open integration hub allow customers to adapt to the dynamic nature of modern IT environments and support frequent changes in infrastructure and applications.

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