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Shadow AI Security Breaches Will Hit 40% of Companies by 2030, Warns Gartner – December 2025

Author/Source: Fortra See the full link here

Takeaway

This article explains a risk called “shadow AI,” which is when employees use artificial intelligence tools that their company hasn’t approved. You’ll learn how this can lead to security problems and why companies need to manage these tools properly.


Technical Subject Understandability

Intermediate


Analogy/Comparison

Using shadow AI is like employees bringing their own untested tools to work without telling the boss. Even if the tools help them get jobs done, they could accidentally break something important or share secret plans if they aren’t safe and approved.


Why It Matters

Shadow AI is important because it can cause major security problems for companies. The article mentions that Gartner predicts 40% of companies will face data breaches by 2030 because of shadow AI. For example, if an employee uses an unapproved AI tool to summarize secret company documents, that sensitive information could accidentally be stored in an unsafe place or seen by the wrong people.


Related Terms

Shadow AI, Generative AI, Data leakage. Jargon Conversion: Shadow AI means artificial intelligence tools used by workers without their company’s official approval or knowledge. Generative AI is a type of AI that can create new things like stories, pictures, or computer code. Data leakage happens when private company information accidentally gets out to people who shouldn’t see it.

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