Gartner Report

Confronting the Risks of Shadow AI With Endpoint Application Control

According to a Gartner® survey, 69% of organizations suspect or have evidence that employees are utilizing prohibited, public AI tools. While these tools promise a boost in productivity, "shadow AI" introduces blind spots that bypass standard cybersecurity visibility, leaving corporate credentials, sensitive data, and compliance standing exposed.

Relying on network filters or standard EDR tools alone is no longer enough to secure the modern attack surface. To safely balance innovation with risk reduction, cybersecurity leaders must establish a defense-in-depth approach centered on stricter endpoint execution and privilege controls.

Download the full Gartner® research note to discover how to:

  • Identify the Three Forms of Shadow AI: Uncover how employee productivity tools, unapproved developer extensions, and quietly embedded provider upgrades introduce hidden vulnerabilities.

  • Implement Practical Application Control: Learn why shifting to structured allowlisting minimizes business disruption while completely shutting down high-risk, unsanctioned executions.

  • Reduce SecOps Overhead: Discover how tighter endpoint application management simultaneously curbs shadow AI, defends against ransomware, and mitigates security operations alert fatigue.

Get your copy of the report to build an actionable strategy that transforms endpoint security from loose permissions into a resilient, AI-aware architecture.


Gartner, Shadow AI Demands Stricter Endpoint Application Control, Evgeny Mirolyubov, et al., 25 May 2026
Gartner is a trademark of Gartner, Inc. and/or its affiliates.

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