Role Mining for IAM

Turn Unstructured Access Into Governed, Audit-Ready Role Models

Without a Structured Role Model, Identity Governance Has No Foundation

Most organizations accumulate entitlements over time without a structured role model. Access is assigned ad hoc, inherited, or copied from outdated templates.

The result is limited transparency into who has what access, why it was granted, and whether it still applies. Recertifications become difficult to defend, audits require manual effort, and IGA programs are built on access data that is hard to trust. Role mining for IAM creates structure from that reality. It establishes a governed foundation for role design, validation, and continuous improvement.

Risk Indicators
  • Access is assigned individually with no reusable role structure
  • Entitlement inventories have grown without clear grouping logic
  • Business teams cannot validate technical access objects
  • SoD conflicts are discovered late in audit or review cycles
  • Provisioning depends on spreadsheets, scripts, or manual workarounds
  • Role ownership is unclear across systems and departments

From Access Noise to a Role Model the Business Can Own

Structured role mining transforms unmanageable entitlement data into governed, business-aligned role models. The result is a foundation that supports compliant provisioning, meaningful access reviews, and stronger identity governance.

Business-Aligned Role Candidates

Discover role candidates based on existing entitlement patterns, organizational context, and functional responsibility.

Clearer Role Transparency

Make role structures easier to understand, review, and refine across IAM and business stakeholders.

Built-In SoD Consideration

Incorporate segregation-of-duties controls directly into the role modeling process.

Stronger Collaboration Between IT and Business

Support structured review and approval workflows without requiring business teams to interpret raw technical data.

A Role Model Ready for Governance

Before role mining, access is often assigned ad hoc, reviewed manually, and difficult to explain. With NEXIS, role models become structured, reviewable, business-owned, and ready to support governed access provisioning.

Roles Aligned to Real Job Functions or Policies

Owned by Business Stakeholders

Compliant from Creation

Ready to Feed Directly into IGA Provisioning

Identity Grid NEXIS Platform

How NEXIS Supports Role Mining

AI-Supported Information Gathering

NEXIS analyzes existing entitlement data to identify patterns and generate role candidates automatically. NICO, the NEXIS Intelligent Co-Pilot, supports this process by comparing identities with peer groups that share similar authorizations and highlighting deviations that may indicate missing roles or data quality issues. Role candidates can be created with the metadata needed for governance from the start, including constraints, required entitlements, and exclusions.

Hybrid Role Modeling

NEXIS supports role models based on RBAC, ABAC, and hybrid approaches. Advanced clustering helps group identities and entitlements by job function, organizational unit, and other relevant attributes so role structures can reflect both business logic and technical reality. This allows organizations to align role design with their existing governance model rather than forcing a one-size-fits-all structure.

HR Data Integration

NEXIS integrates HR data directly into the role creation process so role structures can reflect actual job functions and organizational hierarchies. This helps business departments validate proposed roles more effectively because the model is grounded in operational context, not only technical access data. Standard connectors support fast ingestion from HR systems alongside existing IGA environments.

Cross-Platform SoD Integration

Segregation-of-duties rules are embedded directly into the role modeling process instead of being applied only after roles are designed. This helps prevent conflicting access from being introduced into the role model from the start. NEXIS applies SoD logic across connected systems and IGA environments to support broader governance consistency.

Integration with Existing IGA Environments

NEXIS works as an analytical and modeling layer on top of existing IGA infrastructure. Standard connectors support data ingestion from platforms such as SailPoint, One Identity, SAP, SQL, LDAP, and REST-based environments. Role modeling outputs can then be transferred back into the source IGA environment, allowing NEXIS to support governance design without replacing provisioning functionality.

Quality and Compliance at Creation

NEXIS helps establish governable role structures from creation. Naming conventions, ownership, and meaningful role descriptions can be applied as part of the design process so roles are easier to review, maintain, and audit over time. Combined with Role Lifecycle Management, this supports a continuous governance model from initial discovery through optimization, maintenance, and decommissioning.

With NEXIS, a Role Model is the Starting Point – Not the End Goal

NEXIS Role Mining gives organizations a structured path from unmanaged entitlement data to a governed role model that business teams can understand and own. For IAM programs at an early stage, it creates the foundation for scalable governance. For mature environments, it helps identify what should be cleaned up, optimized, or retired.

Role candidates aligned to job functions and organizational structure

SoD rules embedded from the start of role design

Business owners able to review and approve without technical IAM expertise

Results that feed directly into existing IGA provisioning environments

NEXIS platform screen exemplifying Role Model Simulation

See How NEXIS Turns Entitlement Data Into Governed Role Models

See how NEXIS transforms existing entitlement data into structured, audit-ready role models that support stronger identity governance.