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SpyCloud 2026 Identity Threat Report Finds Non-Human Identities Are Now the Leading Path into the Enterprise
SpyCloud survey of 750 security leaders finds compromised non-human identities are the top enterprise entry point, yet only 36% monitor them.
The 2026 Identity Threat Report surveyed 750 cybersecurity leaders at organizations with 500+ employees across North America and Europe. Compromised non-human identities (31%) were the most cited primary attacker entry point, nearly double phishing (17%), while only 36% of organizations monitor AI agents, service accounts and API keys. 68% of respondents reported identity-based events, averaging eight each, and 91% use AI tools but only 56% have formal governance over their privileges.
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SpyCloud 2026 Identity Threat Report Finds Non-Human Identities Are Now the Leading Path into the Enterprise
SpyCloud's 2026 survey of 750 security leaders finds compromised non-human identities are the top enterprise entry point, yet only 36% monitor them.
SpyCloud's Identity Threat Report, based on a survey of 750 cybersecurity leaders at organizations with 500+ employees, found compromised non-human identities (31%) were nearly twice as likely as phishing (17%) to be the primary attacker entry point. 68% of organizations reported identity-based events averaging eight each, while 95% believe they have visibility into AI and NHI exposures but only 36% actually monitor them. The report also found 91% use AI tools with internal access but only 56% have formal governance, and introduces an Identity Threat Protection Maturity Model.
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Key Reasons Why Identity Fabric Matters in 2026
Identity sprawl and unowned machine identities leave enterprise access unobserved at runtime; identity fabrics aim to close the gap between policy intent and execution.
This sponsored explainer describes identity fabric as an architectural approach connecting identity providers, governance systems, applications, and infrastructure into one observable layer that compares designed access intent with runtime execution. It argues identity sprawl across SaaS, APIs, and cloud workloads, plus unmanaged non-human identities (service accounts, bots, workloads, API keys), leaves overprivileged, dormant, and unowned machine identities unmonitored. IdP-only monitoring misses application-layer attacks, and the piece advocates behavioral visibility and lifecycle governance for secrets and machine identities.
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