Individual skill
building-role-mining-for-rbac-optimization
Apply bottom-up and top-down role mining techniques to discover optimal RBAC roles from existing user-permission assignments, reducing role explosion and enforcing least privilege.
internal/tools/skills/data/identity-access-management/building-role-mining-for-rbac-optimization/SKILL.md
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- cybersecurity Repository topic
- security Repository topic
- bug-bounty Repository topic
- automation Repository topic
- autonomous-pentesting Repository topic
- ai-agent Repository topic
- ai-security Repository topic
- ethical-hacking Repository topic
- golang Repository topic
- penetration-testing Repository topic
- rbac Declared skill tag
- role-mining Declared skill tag
- identity-governance Declared skill tag
- access-control Declared skill tag
- least-privilege Declared skill tag
- clustering Declared skill tag
- engineering Derived category
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# Building Role Mining for RBAC Optimization
## Overview
Role mining is the process of analyzing existing user-permission assignments to discover optimal roles for a Role-Based Access Control (RBAC) system. Organizations accumulate excessive permissions over time through job changes, project assignments, and ad-hoc access grants, leading to "role explosion" where thousands of granular roles exist with significant overlap. Role mining uses data analysis -- including clustering algorithms, formal concept analysis, and graph-based methods -- to consolidate permissions into a minimal set of roles that accurately represent business functions while enforcing least privilege.
## When to Use
- When deploying or configuring building role mining for rbac optimization capabilities in your environment
- When establishing security controls aligned to compliance requirements
- When building or improving security architecture for this domain
- When conducting security assessments that require this implementation
