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

Author/Source: Fortra See the full link here

Takeaway

This article explains a problem called “Shadow AI,” where employees use AI tools without their company’s approval. It warns that this practice could cause many security issues for businesses by 2030 and explains the dangers involved.

Technical Subject Understandability

Intermediate

Analogy/Comparison

Imagine a company has a rule that all tools used for building a product must be checked for safety. Shadow AI is like someone secretly bringing in their own unchecked tools; they might speed up work, but they could also break the product or cause problems for everyone.

Why It Matters

Companies could lose important private information or face cyberattacks because employees are using AI tools that haven’t been approved or secured. For example, the article mentions that by 2026, generative AI could be behind more than 80% of data breaches that happen because of unsafe connections, which is a big increase from 2023.

Related Terms

Shadow AI, Generative AI. Jargon Conversion: Shadow AI is when people at a company use AI tools or services without their employer’s IT or security teams knowing or approving. Generative AI refers to AI models that can create new content, such as writing code, marketing materials, or emails, based on what they’ve learned.