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Shadow AI Use Surges: Executives Lead Unapproved AI Adoption

by Rachel Kim – Technology Editor

Executives Lead the Way in ​Widespread “Shadow ​AI” Use, Report Finds

A new report from UpGuard, released November 10th,​ reveals the pervasive use ⁣of unauthorized AI ⁤platforms – termed ​”shadow AI” – across businesses in multiple sectors. The findings indicate ‌that roughly⁣ one-quarter of workers now consider AI tools their moast ⁤trusted source of ​information, ⁣rivaling their managers and ‌surpassing colleagues and ​search engines.this ⁤trust is notably high among employees ⁤in manufacturing, finance, and healthcare.

This⁤ reliance on AI is directly ⁤linked to ⁢increased shadow AI usage. UpGuard’s research demonstrates that employees who prioritize AI tools as their primary information source are⁤ significantly more likely to incorporate unapproved AI platforms into their daily‌ workflows.

the issue isn’t limited to specific departments. Shadow AI is present across all corporate functions, ⁤though marketing and ⁣sales teams report higher usage rates​ compared to operations ⁤and finance. Surprisingly, the report highlights that executives exhibit the⁢ highest levels of ⁤ regular shadow AI use,‌ while ‌mid-level and low-level employees demonstrate the highest ‍ overall ‌usage ‍rates⁤ (including periodic use).

A key finding for security teams is that employees aren’t using shadow⁤ AI ⁢out ‌of ignorance; they believe⁢ their understanding‌ of AI ⁢security allows⁤ them‍ to manage the ⁢associated⁣ risks. UpGuard found a positive correlation between⁢ self-reported knowledge of AI security requirements and regular use of unapproved tools, suggesting increased awareness doesn’t necessarily translate to policy adherence.

This challenges the ⁢effectiveness of current security awareness training programs, which the ⁢report ⁢suggests “need ‌new approaches in order to succeed.” Fewer than half of surveyed workers reported full knowledge and understanding of their company’s AI usage policies. Despite this, 70% of employees are aware of colleagues inappropriately sharing sensitive‌ data with AI tools‍ – a rate ⁣even higher among security leaders.

The report is based on data collected‍ from ‌two 2024 surveys encompassing 1,500 security ⁤leaders and general employees across the U.S., U.K., Canada, Australia, ‌new⁢ Zealand, Singapore, ⁤and India.

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