DatriseAI-first ETL

Intruder to Airtable Integration

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

How Datrise loads Intruder into Airtable

Datrise syncs Intruder's scans, issues, targets, severities, occurrences, and remediation statuses into Airtable as a table per source entity in your base. Flexible or custom fields land in long-text JSON or linked records for nested data, and timestamps such as created, updated, and status changes are typed as date/dateTime fields.

Sync is incremental: Datrise uses upserts records matched on a stable id field, so re-runs update only what changed. Airtable enforces per-base record and API rate limits, so Datrise batches writes and lands a focused field set.

Ideal for operational workflows and light CRM views in Airtable.

Endpoints

Intruder: Continuous vulnerability scanning for internet assets.

Airtable: Relational spreadsheet destination for ops and go-to-market teams.

How Intruder entities map to Airtable

Intruder entityAirtable objectNotes
scansintruder_scansid PK · custom fields → long-text JSON or linked records for nested data
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 Airtable?

Flexible values are stored as long-text JSON or linked records for nested data, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Airtable types.

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

It runs incrementally — Datrise uses upserts records matched on a stable id field.

Related pipelines

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