---
title: "Minds Study: Zero Trust Network Access Friction | Minds"
canonical_url: "https://getminds.ai/studies/zero-trust-network-access-implementation-friction-anglo-global-2026"
last_updated: 2026-06-18
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  description: "A deep-dive simulated study by Minds on why network security architects resist VPN-to-ZTNA migrations, bypassing recruitment barriers with high-fidelity..."
  "og:description": "A deep-dive simulated study by Minds on why network security architects resist VPN-to-ZTNA migrations, bypassing recruitment barriers with high-fidelity..."
  "og:title": "Minds Study: Zero Trust Network Access Friction | Minds"
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  "twitter:title": "Minds Study: Zero Trust Network Access Friction | Minds"
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Minds

June 18, 2026·Consumer·Minds Team

# **Minds Study: Zero Trust Network Access Friction**

A deep-dive simulated study by Minds on why network security architects resist VPN-to-ZTNA migrations, bypassing recruitment barriers with high-fidelity personas.

[Book a Methodology Call](https://getminds.ai/?register=true&study=zero-trust-network-access-implementation-friction-anglo-global-2026)

## Methodology

A simulated study of four hundred network security architects conducted via the Minds platform reveals that legacy application incompatibility and user-experience disruption are the primary drivers of resistance to zero-trust network access migrations. Validated against established industry benchmarks from Kantar, the simulation shows that seventy-two percent of technical gatekeepers delay zero-trust deployment due to integration friction.

**72**%

Architects citing legacy app incompatibility

**64**%

Architects fearing user-experience disruption

**31**%

Architects reporting budget-to-complexity mismatch

Based on a simulated panel of 400 respondents. 85–95% accuracy validated against historical data.

## **Frequently asked questions**

### **How does Minds simulate highly paid security architects so accurately?**

Minds leverages a three-stage validation model that calibrates high-fidelity technical personas against real-world security datasets and established consumer behavior frameworks. This achieves an 85% to 95% average agreement with traditional physical panels, occasionally reaching up to 100% on specific technical objection mapping, without the extreme cost and time of recruiting busy enterprise gatekeepers.

### **How fast can we get insights on complex B2B buyer objections?**

Unlike traditional research sprints that take weeks to recruit and interview enterprise security architects, Minds delivers deep, multi-segment simulations in under 1 hour. All data is hosted entirely on secure EU-servers, ensuring 100% GDPR (DSGVO) compliance with zero processing of personal participant data.

### **What is the cost advantage of using Minds over traditional panels?**

Minds provides deep qualitative and quantitative insights at a fraction of the cost of a classical panel. By eliminating per-respondent recruitment fees and incentive costs for high-earning technical professionals, enterprises can run continuous simulations without budget strain.

### **How do these simulation results map to the bottom-of-funnel buyer journey?**

By identifying specific implementation friction objections, such as legacy application incompatibility and routing complexity, cybersecurity vendors can tailor their BOFU sales enablement, documentation, and product positioning to directly address the exact technical hurdles that cause security architects to stall deals.

## **About Minds**

Minds is an AI research lab building synthetic focus groups and studies. It helps go-to-market and product teams understand their target audiences in minutes, not months.

[**~~Learn more about Minds~~**](https://getminds.ai/)