67% percent of users are using non-corporate accounts on their corporate devices to access AI services

46% of middle market companies have data governance policies for AI.

80% of healthcare organizations report moderate to high concern about the cybersecurity risks associated with AI-enabled or AI-assisted medical systems.

59% of IT professionals say AI has added the responsibility of interpreting data and AI-driven insights.

Only 32% of enterprises apply AI and automation to clearly different tasks based on their distinct strengths.

Among IT security professionals who expect AI to reduce required headcount, 46% expect this shift to occur within the next two years.

78% of IT and cybersecurity decision-makers at enterprises say AI delivers greater financial return than automation.

17% of managers at enterrpises report that AI exceeded expectations.

52% of C-suite leaders at enterprises report that AI exceeded expectations.

57% of AI fetcher requests target non-cached content.

87% of enterprises have deployed AI and automation in security operations simultaneously.

71% of small business owners expect AI to make fraud more prevalent.

Among small businesses already targeted, 76% say AI was used in the attack.

Almost one-third of organizations report extensive AI use across most or all threat detection and incident response activities, up from 25% last year.

More than 70% of employees worldwide use AI on a weekly basis.

In 2025, AI generated 82.6% of phishing content.

91% of enterprises experience workflow bottlenecks despite deploying AI and automation.

43% of UK organisations with a defined exit strategy still expect a moderate or significant impact on business continuity if their primary AI provider restricts service access.

67% of UK IT decision makers report having a defined exit strategy if their primary AI provider were to restrict service access.

IT decision makers say the most valuable open source benefits for building trust in AI over the next three years are transparency and easier auditability (87%), more customisation for business and regulatory needs (82%), and greater control over how AI is built and where it runs (80%).