AI Detection and Response in BigPanda
BigPanda automates L1 by giving frontline teams the full context to act fast — no rules, no noise, and no expert required.
Full-context detection: Unify observability, ITSM tickets, and third-party dependencies to give L1 teams complete visibility so they can proactively detect incidents before users feel the pain. Reduce duplicate workflows for NOC and service desk teams, improving productivity.
Correlation without rules: Surface patterns, root causes, and incident impact using adaptive, rule-free correlation, no static rules or thresholds to manage, reducing manual L1 work and limiting the length and volume of customer-impacting incidents.
Reduce ITSM costs: Minimize ticket volumes, enhance CMDB quality, and equip incident responders with instant insights from BigPanda to predict and proactively resolve issues before they escalate—all natively in ServiceNow, no upgrade needed.
Built for scale: Process massive event volumes in real time without latency. Deliver instant insight and concurrency across NOC, service desk, and MSPs, even in the largest enterprise environments.
Knowledge reuse: Learn from every incident to reduce rework and improve future triage, diagnosis, and remediation.
Event management
Automatically normalize, filter, and enrich alerts across all infrastructure, application, and services to deliver a unified, full-context view of incidents.
Read Incidents in BigPanda to learn more about the incident management process.
ITSM enrichment
BigPanda updates ITSM tickets with additional alerts that stem from the underlying issue — even if they originate from different sources or checks — to create an accurate and organized representation of affected systems and associated alerts.
Currently BigPanda has standard integrations with ServiceNow and Jira, as well as custom integration infrastructure. Read our documentation on integrating with BigPanda to learn more.
Workflow integration
Integrate with ITSM, ticketing, and automation tools to configure automated workflows that sync with BigPanda incidents.
Learn more about automation options in our Workflow Automation documentation.
Automated incident analysis
Automatically synthesize complex alert data into concise, AI-generated summaries, enabling natural language assessment of incident impact and priority across complex environments and systems. Populate insights in both chat and ITSM tools to accelerate awareness and action at scale.
Learn more about how to speed up incident triage with automatic analysis in the Automated Incident Analysis documentation.
Root cause changes
Correlate incidents with change data to streamline triage and automate the identification of root cause across hybrid-cloud environments.
Learn more about marking suspect changes as matches in the Remediate Incidents documentation, or dig into the logic that drives successful root cause changes in the Root Cause Changes (RCC) documentation.
Similar incidents
Identify historically similar incidents to surface relevant insights on impact, priority, and assignment—so teams can skip redundant analysis and move straight to resolution.
Similar incidents are chosen based on a similarity score. A list of the incidents most similar to the selected incident is generated each time you access the Similar tab within the Incident Details Pane. The score is calculated using similarity categories based on entity, problem, impact, and topology.
Learn more in the Similar Incidents documentation.
Next steps
Explore how AIOps can drive results with our BigPanda AIOps onboarding modules.
Visit BigPanda University to view courses, guides, and receive certifications for BigPanda.
View the Configure BigPanda documentation pages to begin customizing your ADR experience.
View the Navigate BigPanda pages to learn about the layout of the BigPanda UI.