Duplicate Identity Detection
Duplicate Identity Detection is the identification of multiple identity records that appear to represent the same person or entity.
Definition
Duplicate Identity Detection is the process of finding cases where several identity records may refer to the same underlying user, rehire, contractor, or digital entity. It is important because duplicate identities can distort certifications, inflate license use, create inconsistent access decisions, and hide access overlap or excess risk.
Why it matters
Duplicate identities undermine governance accuracy and can create hidden access exposure.
The Ariovis perspective
Reliable lifecycle and access decisions depend on trusted identifiers, clearly owned sources and controlled data quality. Automation should not accelerate inconsistent data.
Related services
Common pitfalls
- A common pitfall is detecting duplicates but lacking a clear remediation workflow to merge or retire them.
Related terms
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