Automate L1 operations

BigPanda AI Detection and Response uses real-time signals and AI agents to help you quickly detect, triage, and resolve issues.

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Automate more, escalate less

Agentic AI can help your L1 teams resolve incidents earlier, eliminate manual and duplicate workflows, and prevent disruptive and costly escalations.

Proactive incident detection

AI detection provides your responders with real-time signals, AI-generated insights, and guided actions. It filters out alert noise by automatically correlating signals, and it detects early indicators of potential issues before they escalate and impact your business.

BigPanda AI-driven correlation filters out noise and surfaces early signals of potential issues before they impact your business

AI agents collect and summarize relevant incident data to help enhance your L1 engineers’ understanding and confidence.

Faster and smarter triage

Agentic triage uses AI agents to automatically gather and summarize relevant incident information from multiple data sources—including recent changes, external observability, service desk activity from ITSM tools, historical incidents, and other ongoing incidents—to triage incidents more efficiently.

Automated incident resolution

AI response empowers L1 teams to resolve incidents quickly. It includes AI-suggested remediation steps based on previously resolved incidents with links to relevant runbooks and knowledge base articles. Only escalates issues when necessary with enriched tickets that enable incident responders to act fast.

Inform L1 teams of the most efficient actions to take during triage and response, verified based on past incident insights with links to relevant runbooks and knowledge base articles.

Take control of incidents before they escalate

“Not only can we see the alerts, but we can evaluate them using correlation that recognizes patterns, connects alerts, and leads to fewer incidents.”

Dan Bartram

Head of Automation and Monitoring
Gamma Communications

“Adding context to enrich alert data leads to more effective prioritization, faster problem resolution, and fewer service disruptions.”

Paul Bevan

IT Infrastructure Research Director
Bloor Research

“BigPanda has enabled us to get more real-time, relevant data about a specific incident. This has significantly reduced our mean time to resolution (MTTR).”

Steve Liegl

Director of Infrastructure and Operations
WEC Energy Group

FAQ

What types of data can I integrate into BigPanda?

The BigPanda IT Knowledge Graph can ingest data from various internal and external sources, including monitoring and observability tools, historical incident records, knowledge bases, runbooks, external observability, and service desk tickets.

How does BigPanda provide additional context for enterprise ITOps?

BigPanda enriches incidents with relevant context by ingesting and normalizing data from diverse sources, including topology, CMDB, and change integrations.

Multidimensional alert correlation and AI incident analysis provide your teams with deeper insights and automate root cause analysis (RCA) for quick, informed decision-making.

BigPanda uses AI agents to gather relevant information from historical incidents, recent changes, external observability, service desk tickets, and other ongoing incidents. It then summarizes the information to provide additional context.

This comprehensive approach provides your teams with a holistic view of your system interconnectivity and operational impacts, enabling them to resolve incidents more efficiently.

What is external observability?

Monitoring and observability tools often fail to detect alerts caused by external factors, such as power outages and weather events.

To provide additional context for greater awareness, BigPanda integrates alerts from external sources, such as social media monitoring, power and weather outage reports, and the status pages of cloud providers and third-party SaaS applications. We call this external observability.

Incorporating external observability data helps teams expand their visibility and eliminate blind spots.

Does the AI learn and adapt?

Yes. AI agents recommend remediation based on incident context by leveraging your institutional and informal knowledge, even if it’s undocumented. Real-time insights enable systems to learn from previously resolved incidents and adapt dynamically, reducing your reliance on manual escalation.

Does BigPanda AI Detection and Response have agentic workflows?

Yes. When an incident occurs, BigPanda AI Detection and Response uses AI agents to gather and analyze relevant data and knowledge sources. The AI agents search through data from other ongoing incidents, service desk tickets, external observability, change correlation, and historical incidents. L1 teams receive an AI-generated incident summary with clear suggested actions for faster triage.