Identity Data ReportLast updated July 10, 2026

Non-Human Identity, By the Numbers

Machine identities passed human identities years ago and the gap keeps widening. A few figures that explain why non-human identity has become the leading edge of the IVIP category, sourced from Hydden's own operating data.

The Numbers Behind the NHI Problem

Non-human identity isn't a niche concern inside identity security. By volume, it's the majority of the identity estate most enterprises are trying to govern.

1 Human Identity
50 Machine Identities
20-40%
Of enterprise identities that never pass through IGA at all
5
Core capabilities of an IVIP: discovery, normalization, correlation, graph, intelligence

All figures above reflect Hydden's own analysis of enterprise identity estates across its customer base and are not independently audited third-party statistics.

Why Machine Identities Are Harder to Govern Than Human Ones

A human identity is created through a known process (HR onboarding, an access request, a provisioning ticket) and that process usually leaves a record. A service account, API key, or AI agent credential is frequently created by an engineer solving an immediate problem, with no equivalent record and no obvious owner once that engineer moves teams or leaves.

That asymmetry is why machine identity sprawl compounds instead of self-correcting. Nobody is assigned to notice when a non-human identity should have been decommissioned, because in most organizations, no single system of record was ever built to track it in the first place.

The Pattern

Human identities get decommissioned because someone leaves. Machine identities keep running because nobody is watching for the equivalent signal.

Frequently Asked Questions

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