The most dangerous AI security vulnerability in your organization isn’t a sophisticated attacker. It’s the gap between what your AI policy says (assuming you have one) and what your employees are actually doing every day. 67% of workers use AI tools, but only 18% of organizations holding a formal AI security policy.

“Most employees are using AI tools we haven’t approved, and they’re using company data to do it.” That’s the gist of Verizon’s 2026 Report on Shadow AI. More than a third of the typical workforce has entered customer data into public AI models, and more than 9 in 10 employees think it poses little or no risk worth worrying about. That perception gap can’t be fixed with a policy document. It requires culture change.

Further proof: over half of insider risk costs can be traced to non-malicious actors. In other words, employees who paste confidential data into an AI chatbot not to steal it, but because it helps them do their job faster. The intent doesn’t change the exposure. Deloitte’s research on AI-ready culture found that when organizations treat AI adoption as a people problem, and not just a technology problem, they see better outcomes and fewer unsanctioned workarounds.

The sectors leaning hardest on AI, including finance, healthcare, transportation, and national security, are also the ones that can least afford a “move fast and hope for the best” approach, making workforce readiness, trust, and AI literacy central to cybersecurity. Organizations that invest in AI change management and trust are significantly more likely to see AI projects outperform expectations, while “move fast” cultures with weak oversight see underperformance and higher risk.