v1.2.0 — Deep Research & Anomaly Detection SDK
This release introduces Deep Research for incident analysis and the first version of our anomaly detection SDK for custom signal ingestion.
Corelayer expands from monitoring into guided investigation and programmable anomaly detection.
Highlights
- Introduced Deep Research to analyze incidents across logs, alerts, and context in one workflow.
- Research outputs now include structured summaries such as what happened, likely root cause, and recommended next steps.
- Launched Anomaly Detection SDK (initial release) for sending custom operational signals into detection pipelines.
- Added better severity-aware routing so high-signal anomalies can be triaged faster.
- Improved collaboration flow between detection, investigation, and issue tracking.
Why this release matters
Teams can now move from detection to explanation faster, while also extending Corelayer with domain-specific anomaly signals through the SDK.