78% of Organizations Lack Foundation to Scale AI Safely

New report reveals disconnect between perceived AI maturity and actual IT readiness

Published on Feb. 10, 2026

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A new report from JumpCloud Inc. reveals that while 40% of organizations believe they are AI mature, only 22% possess the objective IT foundation required to scale AI safely. The report warns that a fragmented IT infrastructure is leaving 60% of professionals unable to protect against rapidly evolving threats as nearly every organization moves toward AI.

Why it matters

As AI becomes more ubiquitous, organizations must ensure they have the proper IT infrastructure and security measures in place to scale AI initiatives safely. The report highlights the risks of a "maturity illusion" where organizations overestimate their AI readiness, exposing them to potential data breaches and other security threats.

The details

The report found that 90% of leaders see productivity gains from AI, but 74% remain concerned about security risks, specifically unauthorized data access and AI-generated phishing. Additionally, 61% of organizations report the use of unsanctioned AI tools, creating significant visibility and governance gaps. The solution, according to 85% of IT leaders, is secure identity and access management (IAM) to scale AI safely.

  • The report was released on February 10, 2026.

The players

JumpCloud Inc.

A provider of an AI-powered unified IT management platform designed to secure the modern workforce.

Joel Rennich

Senior vice president of product management at JumpCloud.

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What they’re saying

“The data is clear: AI maturity isn't measured by how fast you deploy, but by how securely you scale.”

— Joel Rennich, Senior vice president, product management (PRNewswire)

What’s next

The report recommends that organizations focus on consolidating identity, device, and access management to turn AI risk into an optimized advantage and ensure the right people and agents have secure access to the right resources at all times.

The takeaway

This report highlights the disconnect between perceived AI maturity and actual IT readiness, underscoring the importance of building a secure and unified IT infrastructure to safely scale AI initiatives and avoid potential security risks.