Users and Groups (RBAC Model)
Honeyframe uses a two-axis Role-Based Access Control (RBAC) model that decouples licensing from security permissions.
Permissions Reference
Honeyframe is in the middle of a transition between two authorization layers:
LDAP Configuration
Runtime LDAP integration is Phase 4 of the RBAC rollout. As of v0.0.x, Honeyframe authenticates against honeyframe.users only. There is no LDAP login path, no group sync, and no LDAP-backed attribute mapping in the deployed product.
Audit Logging
Honeyframe maintains a comprehensive audit log of all significant administrative and data access events within the platform. This trail provides organization administrators with the visibility needed for compliance reviews, security investigations, and usage monitoring.
Data Policies
Honeyframe applies column-level masking to query results based on the column's classification, the user's role, and any masking policies attached to the dataset or organization. Masking is enforced post-query in Python so it works uniformly across every connector (PostgreSQL, Oracle, MySQL, MSSQL, etc.) without connector-specific SQL.