SpyCloud Survey Finds Non-Human Identity Misuse Leads Reported Identity Events

· Original Report (PDF) ↗

Report discovered via Awesome Annual Security Reports.

Summary

SpyCloud’s 2026 survey of 750 security professionals found 68% of organizations reported an identity-based event in the past year. Non-human identity misuse led reported event types, while visibility, governance, and remediation gaps remained common.

Key points

  • The report is based on a June 2026 survey of 750 cybersecurity decision-makers and practitioners across North America, the UK, and selected European markets.
  • Sixty-eight percent of organizations reported an identity-based event in the past year; affected organizations averaged eight events.
  • Non-human identity misuse was the most commonly reported event type (42%); 31% ranked exposed or overprivileged non-human identities as their primary initial access vector.
  • Although 91% of organizations used AI tools or agents with internal access, 56% had formal governance and ownership for AI- and NHI-related privileges.
  • Organizations reporting identity events had less visibility into stolen session cookies (37% versus 50%) and personal devices with corporate access (40% versus 52%) than organizations reporting no such events.
  • Organizations using manual remediation reported more customer or partner trust loss (47% versus 36%) and higher incident response costs (39% versus 32%) than those using more automated workflows.

Article Details

Publisher
SpyCloud
Report Period
Survey conducted June 2026; identity-event findings cover the preceding 12 months.
Scope
Survey benchmarks identity-threat practices at organizations with 500 or more employees across North America, the United Kingdom, and selected European markets.
Sample Size
750 cybersecurity decision-makers and practitioners
Key Statistics
  • 68% of surveyed organizations experienced an identity-based event in the preceding 12 months.
  • Among reported identity-event types, non-human identity misuse or compromise was most common at 42%.
  • 31% of affected organizations identified exposed or overprivileged non-human identities as their most common initial access vector.
  • 91% of organizations used AI tools or agents with internal access, while 56% had formal governance and ownership for AI- and NHI-related privileges.
  • Survey results are reported at a 95% confidence level with a ±3.58% margin of error.
Recommendations
  • Expand continuous identity-exposure monitoring across human and non-human identities, devices, session cookies and tokens, AI tools, and vendors.
  • Automate investigation and remediation workflows, including credential rotation, session and token revocation, and privilege reduction.
  • Establish formal governance and ownership for AI- and NHI-related access.
  • Verify that third-party and vendor identity exposures have been remediated.

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