Access permissions
Access that fits the role
Authorize feature modules and client data separately for different users.
- Manage feature and data permissions separately
- Asset data access includes permission checks
Ginkgo Platform · Data Security
Sensitive-field encryption, access permissions and login verification help family offices manage everyday data access and sharing.
Request a 30-Minute DemoProduct capabilities address who can access data, how users verify their identity, and how sensitive information is stored.
Access permissions
Authorize feature modules and client data separately for different users.
Login verification
Multi-factor authentication supports an additional verification step through account settings.
Field encryption
Sensitive fields, including account names and numbers, support encryption in storage.
Zero data retention for AI model processing and PDF content masking during file ingestion.
All AI model services currently used by Ginkgo operate under zero data retention (ZDR) arrangements.
Mask specified content in bank statement PDFs.
All AI model services currently used by Ginkgo operate under zero data retention (ZDR) arrangements. Data processed by the models is not retained on the model service side.
Feature modules and client data can be authorized separately to match user permissions to their work. Asset data access includes permission checks.
Login supports multi-factor authentication. An additional verification step can be enabled through account settings using TOTP, SMS or email.
Sensitive fields, including account names and numbers, support encryption in storage, alongside permissions for data access.
Encryption keys are managed by Amazon Web Services (AWS). Ginkgo employees do not hold the encryption keys.
Bank statement ingestion supports masking specified content in PDFs.
Explore sensitive-field encryption, access permissions, login verification, zero data retention for AI models and file processing.