CybersecurityJuly 24, 2026· via Security Affairs

AI adoption surges but trust gap leaves businesses at risk

AI adoption surges but trust gap leaves businesses at risk

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Businesses are moving fast to integrate artificial intelligence, but a widening trust gap risks undermining their efforts. New research from Thales shows that while 93% of IT leaders plan or have deployed AI, only 23% of consumers trust companies to handle their data with AI—leaving a 70-point discrepancy that demands urgent attention.

The trust equation: transparency over hype

Trust hinges not on AI itself, but on how it’s used and communicated. The Thales Digital Trust Index 2026 Thales Digital Trust Index 2026 reveals that consumers are comfortable with AI in cybersecurity, yet recoil when it acts autonomously on their behalf. Over three-quarters of users (77%) feel uneasy about AI “helpers” managing tasks without clear boundaries. When organizations fail to explain AI’s role, trust erodes: 38% of consumers say AI use makes them less trusting of a company, while only 25% feel more confident.

High stakes, clearer signals

The disconnect isn’t just philosophical—it’s operational. Public skepticism can stall adoption, particularly in sectors like finance or healthcare where decisions carry real-world consequences. Meanwhile, high-profile AI mishaps, like Cursor’s customer support agent that misled users Cursor’s, reinforce fears of unchecked automation. The lesson is simple: visibility trumps innovation. Companies must articulate not just what AI can do, but how it operates, where human oversight remains, and what safeguards are in place.

Why it matters

This isn’t a passing trend—it’s a market reality. Businesses that rush AI deployments without addressing trust risk reputational damage, regulatory scrutiny, and lost customers. The Thales data underscores a critical inflection point: AI’s future hinges on trust, not just capability. For leaders, the takeaway is clear: slow down the rollout to speed up understanding. Transparent communication isn’t optional; it’s the foundation for sustainable AI adoption.


Source: Security Affairs. AI-assisted editorial synthesis — TechnoExpress.

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