The transition from experimental AI projects to operational infrastructure has created a significant divide between deployment speed and risk management. Companies are accelerating their budgets, with 88% of firms planning to invest at least $100,000 over the next two years. However, this financial commitment is shadowed by persistent security vulnerabilities. Nearly three-quarters of respondents acknowledged either a confirmed security incident or a near-miss involving AI tools within the past year, highlighting the fragility of current oversight.
Mid-Market Firms Struggle to Secure Rapid AI Expansion
While 82% of mid-market IT leaders have successfully deployed artificial intelligence into production, only 26% report having the comprehensive governance and scaling frameworks necessary to manage the technology enterprise-wide, according to a new report from Netrio based on a survey of 401 U.S. IT executives.
Al Calabrese, Vice President of AI Services at Netrio, noted that while the industry has shifted from testing to execution, the complexity of implementation remains a primary hurdle. Organizations are prioritizing IT operations and software engineering for their initial AI integration, yet they face significant friction regarding data readiness and internal expertise. With 42% of firms reporting a confirmed security exposure, the focus is shifting toward establishing formal policies and enforced controls to protect sensitive data as these tools become deeply embedded in daily workflows.
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