A structured, AI-assisted approach to enterprise role mapping
Source system data (users, roles, permissions) is uploaded via CSV or direct connector. Provisum normalizes and validates the data before processing.
Claude analyzes permission patterns across all users and clusters them into security personas — groups of users with similar access profiles. Each persona represents a distinct access pattern.
Personas are mapped to target roles using a least-access algorithm. The AI suggests optimal mappings that minimize excess permissions while maintaining business function coverage.
Every mapping is checked against your SOD rulebook. Between-role and within-role conflicts are identified, classified by severity, and routed to the right resolver.
Mappings flow through a department-scoped approval chain: mapper → approver → compliance. Each step is audited. SOD conflicts must be resolved before approval.
Approved mappings are exported in formats ready for your target system — provisioning CSVs, Excel reports, PDF audit packages, and SOD exception documentation.