Shadow AI

The Hidden Risk in Your Enterprise

Employees are using AI tools that IT doesn't know about—exposing sensitive data, violating compliance requirements, and creating security blind spots.

44%

of employees use AI in ways that violate company policies

KPMG Shadow AI Report, 2025

57%

have made mistakes at work due to AI errors

KPMG Shadow AI Report, 2025

58%

rely on AI output without verifying accuracy

KPMG Shadow AI Report, 2025

The Growing Threat

69%

of cybersecurity leaders suspect or have confirmed unauthorized AI tools in their organizations

Gartner, 2024

40%

of enterprises projected to experience security or compliance breaches due to Shadow AI by 2030

Gartner, 2024

$5.27M

average cost of breaches involving shadow data—20% longer to contain

IBM Cost of Data Breach Report, 2024

The Risks of Uncontrolled AI

Shadow AI creates vulnerabilities across multiple dimensions of your organization

Data Security Risk

Unauthorized AI tools may transmit, store, or process sensitive information on third-party servers without proper encryption or access controls, increasing the risk of data breaches.

Compliance Violations

Unapproved AI tools can lead to violations of data protection regulations such as GDPR, HIPAA, or CCPA, potentially resulting in significant fines, lawsuits, and reputational damage.

Operational Disruptions

AI tools that haven't been tested within the corporate IT environment may conflict with enterprise systems, produce inaccurate results, or malfunction in critical workflows.

Competitive & IP Risk

Employees inadvertently sharing proprietary code, strategies, or trade secrets with public AI tools creates competitive intelligence risks and potential IP exposure.

Why Shadow AI Happens

Employees want to be productive

AI tools offer immediate productivity gains. When official channels are slow or non-existent, employees find their own solutions—often without understanding the risks.

IT can't keep up with demand

The pace of AI innovation outstrips traditional IT procurement and security review processes, creating a gap between what's available and what's approved.

Blocking doesn't work

When organizations block AI tools, employees find workarounds—using personal devices, VPNs, or simply lying about their usage. The result: zero visibility and even greater risk.

Don't Block AI—Channel It Safely

The solution isn't to ban AI—it's to provide a secure, governed platform that's better than the risky alternatives. One that employees will actually want to use.

Sources

[1]

KPMG

"Shadow AI Is Already Here: Take Control, Reduce Risk, Unleash Innovation" (2025)

View source
[2]

Gartner (via IT Pro)

"40% of enterprises will experience Shadow AI breaches by 2030" (2024)

View source
[3]

IBM

"Cost of a Data Breach Report" (2024)

View source