BigPanda AI Incident Assistant

Activities: Y/M	Diagnostics: Y/M	Provisioning: N/L
Event ontology: P/M	Observability: Y/M	Confidence: Medium

Build style / interface — Web UI with incident console; Slack/ITSM integrations.
What it actually does — Correlates multi-source alerts with change data, proposes next steps, automates comms and post-incident artifacts.
Data / telemetry — Ingest from monitoring, logs, change feeds into an investigation view.
Interoperability — Broad integrations across observability/ITSM/ChatOps.
Deployment model — SaaS.
Notes — Focused on evidence-backed triage and RCA; changes typically routed via external approvals/runbooks.

UKM Snapshots:
ingest Y/M, index Y/M, retrieval Y/M, governance P/M, overall medium

UAM Snapshots:
capture Y/M, sessionization Y/M, verification Y/M, audit P/M, overall medium

UDM Snapshots:
detection Y/M, correlation Y/M, RCA Y/M, overall medium

UOM Snapshots:
multi-signal ingest Y/M, enrichment P/M, overall medium

UEOM Snapshots:
entity/change context P/M, overall medium

UPM Snapshots:
ingest N/L, apply N/L, rollback N/L, overall low

Latest updates — Agentic Incident Assistant announced (May 28, 2025).
Links — Official, AI Incident Assistant, Assistant overview