DatriseAI-first ETL

Intruder to Klipfolio Integration

AI-first ETL from Intruder into Klipfolio. Governed entities, incremental sync, typed landing tables.

How Datrise loads Intruder into Klipfolio

Datrise syncs Intruder's scans, issues, targets, severities, occurrences, and remediation statuses into Klipfolio as query-ready tables or feeds Klipfolio reads. Flexible or custom fields land in flattened columns for Klips, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables or data feeds, so re-runs update only what changed. Date-partitioned facts for trend Klips. Klipfolio pulls from sources on a refresh interval, so Datrise keeps tables incrementally current to match.

Ideal for real-time KPI dashboards and wallboards.

Endpoints

Intruder: Continuous vulnerability scanning for internet assets.

Klipfolio: Dashboard platform for real-time KPIs and metric wallboards.

How Intruder entities map to Klipfolio

Intruder entityKlipfolio objectNotes
scansintruder_scansid PK · custom fields → flattened columns for Klips
issuesintruder_issuesid PK · linked to intruder_scans
targetsintruder_targetsid PK · linked to intruder_scans
severitiesintruder_severitiesid PK · linked to intruder_scans

FAQ

How does Datrise handle Intruder's custom fields in Klipfolio?

Flexible values are stored as flattened columns for Klips, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Klipfolio types.

How does the Intruder to Klipfolio sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables or data feeds.

Related pipelines

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