Skip to content
Forest Global Training Partners
Home Services AI Governance AI Risk Encyclopedia Contact Us
AI Risk Encyclopedia AI Use CasesAI RisksAI Hallucinations Topics Entities Sources
  1. Home
  2. AI Risks
  3. The AI approval paradox: Why 2/3 of approved tools fail…

AI Risks October 26, 2025 · Pressat

The AI approval paradox: Why 2/3 of approved tools fail employees - Pressat

Cybernews study reveals only 33% of employees find approved AI tools adequate, while shadow AI usage has surged to 59%, exposing the gap between ...

Read the original at Pressat ↗

Topics
Shadow AICybersecurity
Tracked via
“shadow ai”

Same story, other outlets

  • The Paradox of AI Approval: Exploring Why 2/3 of Approved Tools Do Not Benefit Employees BusinessMole · Oct 26, 2025

Related articles

  • The AI approval paradox: Why 2/3 of approved tools fail employees - DevPro Journal AI Risks · Oct 22, 2025
  • The Paradox of AI Approval: Exploring Why 2/3 of Approved Tools Do Not Benefit Employees AI Risks · Oct 26, 2025
  • Security tools fail to translaterisksfor executives AI Risks · May 08, 2024
  • The Fastest Path to AI Adoption Runs Through Security AI Risks · Jul 23, 2026
  • Shadow AI : 45% of Workers Skip Approved Tools [2026] - Tech Insider AI Risks · Oct 24, 2026
  • Shadow AI - YouTube AI Risks · Jul 02, 2026

AI Risk Encyclopedia is a curated research index from Forest Global Training Partners. Articles belong to their publishers; we link to and summarize them.

Contact