Identity graphs and toxic roles: what IAM teams need to know

TL;DR: Graph-based identity models help organisations map relationships between identities, permissions, systems, and facilities for faster access analysis, role mining, and toxic-role detection, according to Gathid. The governance shift is less about visualisation and more about making complex entitlement paths reviewable before they turn into compliance and security failures.

NHIMG editorial — based on content published by Gathid: graph technology for identity governance and access analysis

Questions worth separating out

Q: How should identity teams use graph technology in access governance?

A: Identity teams should use graph technology to expose how access is inherited, shared, and combined across systems.

Q: Why do toxic role combinations matter in IAM programmes?

A: Toxic role combinations matter because they create access states that violate separation of duties or the principle of least privilege.

Q: How can security teams tell if role mining is actually improving governance?

A: Role mining is working when it reduces exceptions, lowers reviewer effort, and produces roles that match how people actually work.

Practitioner guidance

• Inventory identity relationship sources Identify every authoritative source that contributes identities, entitlements, group memberships, and system relationships, including legacy and air-gapped environments.
• Model inherited access paths Trace how permissions flow through roles, groups, applications, and system dependencies so reviewers can see the full path, not only the final entitlement.
• Target toxic role combinations first Prioritise roles that combine sensitive data access, administrative reach, and separation-of-duties conflicts.

What's in the full article

Gathid's full article covers the operational detail this post intentionally leaves for the source:

• How the Identity Graph models air-gapped, on-premise, cloud, and operational technology access in one structure
• The specific ways graph analysis supports 360° relationship queries and entity-level zoom for investigations
• Examples of how graph-driven role mining can sharpen RBAC and ABAC policy updates as systems change
• How toxic role combinations are surfaced and used to drive remediation and compliance reporting

👉 Read Gathid's analysis of graph technology for identity governance and access analysis →

Identity graphs and toxic roles: what IAM teams need to know?

Explore further

View Full Forum →  |  NHI Foundation Course →