Introducing AI Incident Prevention from BigPanda

AI Incident Prevention from BigPanda stops change-related outages before they occur by leveraging risk scores, trend analysis, and guided remediation steps. Manual IT changes are still a leading cause of IT outages and disruptions. BigPanda AI Incident Prevention addresses this by automatically scoring change requests against historical data, flagging high-risk changes before they go live, and surfacing the recurring problems that cause service degradation.

• See how AI-powered change risk scores flag high-risk changes before they reach production.
• Understand how problem management trend analysis uncovers recurring issues driving service degradation.
• Watch how guided remediation steps deliver rollback plans and root-cause fixes at scale.

Key takeaways:

• AI change risk scoring: Analyze each change request against historical change data, similar past changes, and related incidents to generate a risk score with clear reasoning, giving change advisory boards the context they need to take confident action.

• Guided rollback and remediation: BigPanda delivers step-by-step resolution guidance, including rollback plans for high-risk changes. Deliver explainable risk scores with detailed reasoning for each change and suggested proactive steps for change hardening.

• Impact analysis: Use historical insights, affected CIs, and real-time signals to assess the actual probability of impact, rather than basing analysis on human intuition or static rules. Prevent incidents and maximize uptime.

• Change Analytics for decision makers: Uncover patterns and give decision makers actionable insights with dashboards that track performance across changes and contextual incident analysis.

• Powered by the BigPanda IT Knowledge Graph: Unify observability, ITSM, and organizational data to deliver accurate risk scores and eliminate the manual data collection that slows change reviews.

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