Gartner: Machine Identity Is a Top 6 Cybersecurity Trend

In March 2025, Gartner published its top cybersecurity trends for the year, and Machine Identity Management appeared alongside AI governance and cybersecurity technology optimization as a top-six trend.

The supporting data is revealing: a Gartner survey of 335 IAM leaders found that IAM teams are only responsible for 44% of an organization's machine identities. The remaining 56% are managed by development teams, DevOps, cloud operations, or in many cases nobody at all.

This governance gap is not a minor operational concern. It means that the majority of non-human identities in most organizations exist outside formal security governance. They are created ad hoc, scoped permissively for convenience, rarely rotated, and almost never decommissioned.

Gartner's recognition of machine identity as a top trend validates what the incident data has been showing: NHI compromise is a primary attack vector, and most organizations are fundamentally unprepared.

This follows Gartner's 2024 prediction that by 2027, identity fabric immunity principles would prevent 85% of new attacks and reduce financial breach impact by 80%. The identity fabric concept extends governance beyond humans to cover machines, services, and AI agents under a consistent, contextual, and continuous control framework.

For organizations evaluating their identity architecture maturity, Gartner's trends provide an analyst-validated framework for prioritizing machine identity governance alongside traditional workforce IAM.