Build Identity Connectors in Hours

Connector Studio will soon offer the ability to create connectors based on AI-powered computer vision. Currently, in early access preview, this exciting capability will empower users to rapdily create connectors to applications that don’t have an API, using only plain-English instructions.

Connector Studio is a low-code environment. You can build, map, and deploy connectors using a visual drag-and-drop interface. For more complex transformations, you can still extend with custom logic if needed, but it’s not a requirement.

All connectors are deployed with RBAC controls to restrict who can make changes, and audit logs capture every action for compliance purposes. Data is processed and stored using secure protocols.

Absolutely. You can save connector templates and reuse them across different onboarding or integration projects. This significantly reduces setup time and ensures consistency in mapping and governance.

Most organizations can deploy their first connector in hours, not weeks. Our visual data transformation and mapping tools eliminate the need for custom scripting, reducing both development and testing cycles.

Connector Studio supports a wide range of integration methods including REST, SOAP, JDBC/ODBC, SFTP, and CSV ingestion, along with UI automation via AI-powered RPA. Data formats such as JSON, XML, CSV, and XLSX are all supported for import/export.

Yes. You can apply transformations during data mapping, including attribute renaming, formatting, concatenation, conditional logic, and enrichment from external data sources — all without modifying the source system.

Each connector includes built-in error handling, with retry logic, and detailed logging.

Yes. You can promote connectors across environments while preserving governance policies and audit history. This makes it easy to test new integrations before pushing them live in production.