Embed cyber risk intelligence into your workflows.

Sync ThingsRecon exposure and supplier signals into ServiceNow workflows so teams can see risk insights alongside incidents, change and vulnerability records.

Automate ticket creation and updates from ThingsRecon findings so security events feed directly into ITSM queues for response and tracking.

Connect ThingsRecon alerts to Jira issues so development teams can directly own and remediate exposure that maps to code, APIs and CI/CD artifacts.

Import Ariba supplier metadata into ThingsRecon risk views and push annotated risk flags back into Ariba’s supplier records for faster third‑party risk decisions.

Tie Coupa’s supplier profiles into ThingsRecon’s discovery and proximity scoring so procurement and security share a unified risk picture.

Feed ThingsRecon risk attributes (proximity, evidence, signals) into Archer TPRM modules to drive enterprise third‑party risk scoring and reporting.

Surface real‑time exposure intelligence in OneTrust’s TPRM dashboards by mapping ThingsRecon discovery and evidence into OneTrust risk assessments.

Embed ThingsRecon alerts and external exposure indicators into Remedy or Helix tickets for faster incident escalation and root cause context.

Turn external exposure findings into Zendesk tickets so service and support teams can act on risk issues affecting customer‑facing systems.

Sync ThingsRecon risk events with Freshservice incident records and asset data, enabling contextual exposure tracking directly in IT service workflows.

Pull supplier/financial metadata from Workday ERP into ThingsRecon to correlate business context with technical exposure and vendor risk.

Ingest supplier and supply‑chain entity data from Dynamics 365 to enrich ThingsRecon’s risk model and deliver business‑level impact context.

Export ThingsRecon structured intelligence into Power BI for custom dashboards, cross‑tool analytics, and executive risk reporting.

Stream ThingsRecon discovery and evidence datasets into your Snowflake instance for advanced analytics, correlation with internal assets, and ML workflows.