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Shadow AI

We've curated 39 cybersecurity statistics about Shadow AI to help you understand how unauthorized AI tools and applications are proliferating in organizations, posing unique risks and challenges in 2025.

Showing 1-20 of 39 results

54% of CIOs say they have discovered unsanctioned 'shadow AI' in use inside their organizations.

Dataiku2/14/2026
Shadow ITAI Governance

61% of organizations report the use of unsanctioned AI tools, creating significant visibility and governance gaps.

JumpCloud2/11/2026
AIAI Tools

56% of employees are unhappy with their company's approach to AI tools, which can drive them toward unsanctioned platforms and creating 'shadow AI' risks.

KnowBe412/13/2025
AI ToolsEmployee Sentiment

69% of IT leaders globally reported lacking a formal tracking system to monitor AI adoption.

Cato Networks12/6/2025
AI GovernanceIT Management

49% of IT leaders globally either don't track AI usage at all or address AI on a reactive basis.

Cato Networks12/6/2025
AI GovernanceIT Management

61% of IT leaders globally found unauthorized AI tools in their environments.

Cato Networks12/6/2025
AI GovernanceIT Management

9% of IT leaders globally believe their organization has a 'highly effective' defense against AI-generated cyber threats.

Cato Networks12/6/2025
AI GovernanceRisk Management

53% of IT leaders globally are highly or extremely concerned about AI security risks.

Cato Networks12/6/2025
AI SecurityIT Management

71% of IT leaders globally identified increasing productivity and efficiency as the primary use case for AI adoption.

Cato Networks12/6/2025
AI AdoptionIT Management

13% of IT leaders globally consider their organization's management of shadow AI risks as 'highly effective'.

Cato Networks12/6/2025
AI GovernanceRisk Management

26% of IT leaders globally have solutions in place to monitor AI usage.

Cato Networks12/6/2025
AI GovernanceIT Management

By 2030, 50% of enterprises are predicted to face delayed AI upgrades and/or rising maintenance costs due to unmanaged generative AI technical debt.

Gartner11/22/2025
2030 predictions

69% of organizations suspect or have evidence that employees are using prohibited public generative AI.

Gartner11/22/2025

By 2030, more than 40% of enterprises are predicted to experience security or compliance incidents linked to unauthorized shadow AI.

Gartner11/22/2025
2030 predictions

75% of security practitioners believe that shadow AI will surpass the risks previously posed by shadow IT in 2025.

Harness11/16/2025
AIShadow IT

16% of employees reported analyzing company data with the help of AI when using AI at work.

1Password11/1/2025
Trust

43% of US employees reported that they have worked on AI-based applications that their employers did not approve

1Password11/1/2025
TrustUS

36% of German employees reported that they have worked on AI-based applications that their employers did not approve

1Password11/1/2025
TrustGerman

27% of employees have used AI-based applications that were not purchased or approved by their company.

1Password11/1/2025
TrustAI policy

16% of employees reported working on performance reviews or hiring using employee data when using AI at work.

1Password11/1/2025
Trust