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17/08/2026 4:40 pm
TL;DR: User classification can improve identity risk decisions by grouping employees, contractors, partners, and third parties by relationship, access needs, and login behaviour, according to Saviynt. The governance gap is not classification itself but stale, fragmented, and misaligned access that weakens least privilege across human and external identities.
NHIMG editorial — based on content published by Saviynt: Risky Business: Can User Classification Reveal Risk Insights?
By the numbers:
- 72% of organisations have experienced or suspect they have experienced a breach of non-human identities, 46% confirmed and 26% suspected.
Questions worth separating out
Q: How should security teams classify users for access governance?
A: Start with business relationship, access scope, and expected duration of access.
Q: Why do external identities create more access risk than employees?
A: External identities often arrive through distributed business relationships rather than a central HR source, so their access is easier to overprovision and harder to track.
Q: What do teams get wrong about last login data?
A: They often treat recent activity as proof that access is still appropriate.
Practitioner guidance
- Classify identities by relationship and access need Define employee, contractor, partner, and third-party categories with explicit rules for access scope, review cadence, and removal triggers.
- Use inactivity as a review trigger Set thresholds for dormant accounts and route them into access certification or removal workflows, especially for external identities and temporary project access.
- Correlate duplicate identities before recertification Join accounts across directories, SaaS platforms, and privileged systems so reviewers see the full access footprint of one person instead of fragmented records.
What's in the full article
Saviynt's full blog covers the operational detail this post intentionally leaves for the source:
- How the vendor maps user classification to access governance workflows across employees, contractors, partners, and third parties.
- Examples of last-login-based access review logic and the types of inactive accounts the article says should be removed or reassessed.
- The article's recommended approach to de-duplicating identities across systems so one person's full access footprint can be evaluated.
- The practical differences the vendor draws between employee access patterns and external user access patterns.
👉 Read Saviynt's blog on user classification and identity risk reduction →
User classification and identity risk: what should IAM teams change?
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17/08/2026 4:45 pm
Classification is only useful when it changes governance decisions. The article correctly identifies that different relationships to the business carry different access risks, but classification becomes security theatre if it stays descriptive. Human, contractor, and partner identities need different review cadence, scoping logic, and removal triggers. The practical conclusion is that classification must feed entitlement policy, not just reporting.
A few things that frame the scale:
- 85% of organisations lack full visibility into third-party vendors connected via OAuth apps, according to The State of Non-Human Identity Security.
- The average organisation believes more than 1 in 5 of their non-human identities are insufficiently secured, according to The 2024 ESG Report: Managing Non-Human Identities.
A question worth separating out:
Q: Who should own duplicate identity cleanup and access recertification?
A: Ownership should sit with the business and identity governance teams together, because duplicate identities affect both operational administration and risk decisions. Security can correlate the accounts, but application owners and managers must confirm whether the combined access footprint still matches business need. That is what makes recertification meaningful.
👉 Read our full editorial: User classification sharpens identity risk decisions across extended enterprises
