SQLBot secures data through a multi-layered mechanism:
- Workspace segregation
- Complete isolation of resources in different workspaces
- Q&A history, data source configuration independent storage
- Prevention of cross-sectoral data leakage
- Fine-grained authority control
- Based on the RBAC (Role-Based Access Control) model
- Precise control of user access to specific tables
- Support for field-level access restrictions
- authentication and encryption
- Encrypted storage of database connection information
- Support SSL/TLS transmission encryption
- Built-in account password strength checking mechanism
- Audit log
- Complete logging of all query operations
- Support for operational traceability and compliance review
Together, these measures ensure that core enterprise data is not subject to security risks while being conveniently accessed, which is particularly suitable for finance, healthcare, and other industries that are highly sensitive to data.
This answer comes from the articleSQLBot: The Intelligent Bot That Converts Natural Language to SQL QueriesThe
May not be reproduced without permission:AI productivity tools " What specific safeguards does SQLBot have in place for data security?
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