Insider risk
We've curated 69 cybersecurity statistics about Insider risk to help you understand how employee behaviors and unintentional mistakes are becoming critical threats in 2025. Explore how organizations are adapting their practices to mitigate these risks effectively.
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Only 47% of security professionals strongly agree that their existing DLP tools are effective in protecting sensitive data from leaving the organization.
52% of security leaders cite Shadow AI/SaaS application control as a priority for next-generation solutions.
29% of organizations detected between 1 and 5 insider incidents in the past 18 months.
41% of organizations reported financial losses between $1 million and $10 million for their most significant insider incident.
67% of organizations reported a financial impact between $100,000 and $10 million for their most significant incident.
9% of organizations reported losses above $10 million due to their most significant insider incident.
13% of insider incidents involved credit cardholder data.
45% of organizations reported revenue or financial loss as the primary consequence of their most significant insider incident.
43% of organizations reported reputational damage as the primary consequence of their most significant insider incident.
Only 11% of organizations said their most significant insider incident had no significant impact.
35% of security professionals are concerned about employees directly involved in the creation/development of intellectual property.
43% of security professionals are concerned about third-party partners or contractors with access to their environment.
Only 12% of organizations feel fully prepared to detect or respond to sensitive data being shared with GenAI tools.
21% of security professionals are concerned about whistleblowers sharing or exposing data.
When asked which egress channels for the outflow of sensitive data does your organization worry most about, 69% said email.
45% of respondents are very concerned about sensitive data being shared with generative AI tools like ChatGPT.
Only 26% of organizations feel fully prepared to respond effectively to accidental employee data leaks.
Only 14% of organizations feel fully confident in their insider threat detection capabilities.
Only 18% of organizations report achieving Maturity Level 3 (Optimized: Unified strategy, cross-functional governance, behavioral analytics, and integrated enforcement).
49% say tool complexity is the biggest barrier to maturing their insider risk program.