Operational Risk
Cybersecurity statistics about operational risk
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52% of CTOs, CISOs, and CIOs acknowledge having gaps in visibility into production internal tools but cannot fully quantify those gaps.
93% of CTOs, CISOs, and CIOs are concerned about vibe-coded tools running in production.
38% of CTOs, CISOs, and CIOs call vibe-coded tools running in production a top operational risk.
22% of CTOs, CISOs, and CIOs indicate their organizations have had at least one AI-caused production incident.
Approximately 95% of CTOs, CISOs, and CIOs acknowledge at least some gaps in visibility into production internal tools.
19% of organizations report no AI-generated code challenges in the past six months.
78% of organizations report more incidents after deploying AI-generated code in the past 12 months.
Only 25% of organizations running AI today can identify within minutes what actions an AI took.
95% of organizations report unauthorized AI use within their organization.
68% of IT professionals have personally seen AI generate hallucinations with potential operational impact.
91% of organizations that report being "very confident" in their AppSec strategy still experience a production incident that bypasses pre-production controls.
95% of organizations say data challenges have already slowed their AI progress.
Only 29% of organizations running AI today can identify within minutes which systems an AI accessed.
Only 40% of leaders are very confident they can isolate and precisely reverse an agentic AI failure.
58% of cybersecurity leaders say mistakes during everyday work have had the greatest impact on their organization’s cybersecurity in the past 12 months.
65% of organizations report challenges with shadow AI.
43% of enterprises report operational disruption from AI agent-related incidents.
36% of bank leaders cite overreliance on one individual or function as a common gap found in tabletop cybersecurity exercises.
40% of healthcare leaders cite concerns about disrupting clinical workflows or patient care during deployment as a barrier to implementing microsegmentation.
76% of healthcare leaders say it is highly important that a microsegmentation solution avoids disruption to clinical or operational workflows.