building-role-mining-for-rbac-optimization

Mine user-permission data to generate candidate RBAC roles and migration plans.

2|Updated Apr 14, 2026

Search Tags:#migration #rbac #clustering #identity-governance #jaccard #role-mining #formal-concept-analysis

Ready to run

npx skills add https://github.com/Acczdy/MoZiSec --skill building-role-mining-for-rbac-optimization

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: building-role-mining-for-rbac-optimization
Source: https://github.com/Acczdy/MoZiSec/tree/main/iam/.claude/skills/building-role-mining-for-rbac-optimization
Command: npx skills add https://github.com/Acczdy/MoZiSec --skill building-role-mining-for-rbac-optimization

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires numpy, pandas, scikit-learn, and includes scripts (resource) components.

What problem does it solve?

Role-based access control (RBAC) environments often suffer from role explosion and permission sprawl. This Skill helps security and IT teams derive meaningful, least-privilege roles by mining historical user-permission data, reducing complexity and enabling scalable governance.

Core Features & Use Cases

Bottom-up and top-down role mining approaches to discover candidate roles from real access patterns.
Formal Concept Analysis and clustering methods to group users and extract core permissions.
Business alignment and migration planning by mapping mined roles to departments and workflows, with evaluation metrics to guide governance.
Real-world use: normalize current permissions across AD/AWS/Azure to design a compact, auditable RBAC model and support role-based access migrations.

Quick Start

Run the Role Mining Engine on a CSV of user-permission assignments to produce mined roles and a migration plan.

Frequently Asked Questions about building-role-mining-for-rbac-optimization

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I reduce role explosion in RBAC by mining existing user permission data?▼

Role mining reduces role explosion by applying bottom-up clustering, formal concept analysis, and graph-based methods to a user-permission matrix. This extracts core permissions and generates compact candidate roles to enable scalable identity governance.

What is the best way to discover least-privilege RBAC roles from historical access patterns?▼

Discovering least-privilege roles involves applying formal concept analysis and clustering to historical user-permission data. This groups users by access patterns to extract core permissions, producing auditable role definitions and coverage metrics for governance.

Can I normalize permissions across AD, AWS, and Azure to design an auditable RBAC model?▼

You can normalize permissions across environments like AD, AWS, and Azure by feeding a consolidated user-permission CSV into a role mining engine. This processes the data to design a compact, auditable RBAC model and supports role-based access migrations.

How do I generate a migration plan for role-based access control using Python?▼

Generating an RBAC migration plan requires a Python data pipeline using numpy, pandas, and scikit-learn. It processes a user-permission matrix to output role definitions, coverage metrics, and a structured migration plan guiding governance alignment.

Does role mining with formal concept analysis work for diverse organizational contexts?▼

Role mining with formal concept analysis works for diverse organizational contexts by applying bottom-up and top-down approaches. It maps mined roles to departments and workflows, providing evaluation metrics to guide governance across different structures.

What format does the role mining engine require for user-permission assignments?▼

The role mining engine requires a CSV file of user-permission assignments as input. Processing this CSV yields mined role definitions, coverage metrics, and a migration plan to guide identity governance and access normalization.