• Service + Support
      • Service

      • Community

      • Documentation

      • Customer Support

      • Platform Status
      • Support

      • Education & Certification

      • Professional Services
  • Login

Automate incident detection with AI

BigPanda AI detection correlates fragmented signals to detect incidents before they escalate.

View the data sheet
Request a demo

Correlate noisy signals to spot issues early

Detect early signs of incidents and quickly surface real issues using AI-driven correlation across observability, service desk, and external service provider dependencies.

Proactively detect issues fast

Correlate alerts and incidents from multiple data sources to identify, contextualize, and resolve incidents before they impact end users.

Empower L1 teams with enriched data about incoming issues, including impact, similar incidents, and related service desk tickets.</p> <p>
Surface operational context to help provide insights to both L1 NOC and service desk teams.

Reduce duplicate workflows

Combine fragmented insights into a normalized view to create unified visibility across L1 service desk and NOC teams, streamlining manual detection and accelerating response.

Improve team efficiency

Deliver immediate context, empowering L1 teams to swiftly identify incidents and eliminating manual alert reviews and unnecessary escalations.

Provide L1 teams with relevant context for each incident to facilitate faster understanding and eventual action.
Eliminate team silos by unifying data from various teams and tools to create a single, normalized view.</p> <p>

Optimize MSP resources

Reduce managed service provider (MSP) workload by minimizing ticket volume and filtering out noise. Correlate data across teams, tools, and external providers to ensure only actionable incidents reach service providers so they remain focused on what matters.

The power of AI detection

Gamma Logo

“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

Cambia Logo

“BigPanda has significantly helped deduplicate, correlate, and automate our process. The enrichment data we process through BigPanda enables us to create more specific and insightful alert tags.”

Mark Peterson

Supervisor IT Operations, Cambia Health Solutions

Chipotle Logo

“BigPanda funnels our alert data, identifies incidents in real-time, and automatically builds out full context tickets so the appropriate team is alerted for incident triage, cutting our mean time to resolution (MTTR) in half.”

Joe Connelly

Director of Monitoring, Observability, and Service Reliability, Chipotle Mexican Grill

FAQ

What is automated detection?

Automated detection uses AI and alert and incident correlation to identify potential IT incidents by analyzing data from multiple sources without relying solely on manual rules or constant tuning.

What types of data can I integrate into BigPanda?

BigPanda can ingest data from various internal and external sources, including internal monitoring and observability tools, historical data such as incident records, knowledge bases, runbooks, external observability, and service desk data.

Can automated AI detection identify issues from external sources outside my IT infrastructure?

Yes. Automated detection can ingest and analyze data from external observability sources, such as public cloud status, weather, and third-party services, to provide a broader view of potential impacts.

Check out more related content

ANALYST REPORT

Gartner® Market Guide for Event Intelligence Solutions, 2025

View the report