CSA Survey Finds DLP Often Detects Data Loss After It Occurs

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Summary

A CSA survey of 433 IT and security professionals found 73% of organizations experienced a confirmed data-loss incident in the past 24 months, while only 16% said DLP blocked their most significant incident before data left the organization.

Key points

  • The online survey was conducted in June and July 2026; Jazz funded the research and co-developed the questionnaire, while CSA independently analyzed and interpreted the data.
  • Only 29% of respondents said they could routinely produce a 30-day report of sensitive data sent to GenAI tools, despite 48% ranking GenAI as a top exfiltration risk.
  • Only 22% strictly block GenAI and 19% strictly block cloud-storage uploads; removable media was strictly blocked by 31%.
  • Fifty-four percent of teams said most DLP alerts they triage are false positives, and 90% reported at least one measurable impact from alert fatigue in the past year.
  • Seventy-one percent reported pushback on DLP enforcement; across all respondents, 54% said enforcement had been softened in some form.

Article Details

Publisher
Cloud Security Alliance (CSA), in collaboration with Jazz
Report Period
June-July 2026
Scope
Survey of data loss prevention practices, data loss incidents, GenAI and cloud-storage risks, and enforcement and alert-fatigue impacts.
Sample Size
433 IT and security professionals; respondents represented organizations ranging from fewer than 1,000 to more than 50,000 employees and were primarily located in the United States and Canada.
Key Statistics
  • 73% of organizations reported at least one confirmed data loss incident in the prior 24 months.
  • 16% said DLP blocked their most significant incident before data left the organization.
  • 48% ranked GenAI as a top exfiltration risk, while 22% said they strictly block GenAI.
  • 90% reported at least one measurable impact from DLP alert fatigue in the past year.
  • 54% of respondents said they softened DLP enforcement in some form.
Recommendations
  • Understand how sensitive data moves through GenAI and other channels so security teams can focus on actual risk without blocking legitimate work.

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