73% of respondents cited high implementation and maintenance costs as the top concern, presenting a barrier to AI adoption.

78% of global business and technology leaders reported that their use of artificial intelligence (AI) has helped improve fraud detection and risk management.

56% of global businesses are scaling or fully implementing AI.

85% of small business owners said they are extremely, very, or moderately concerned about rising AI-driven fraud.

40% of small business owners have experienced AI-driven fraud personally.

Small business owners business owners have a generally positive attitude toward AI-based fraud protection at 69%.

50% of small business owners owners report that their financial institutions use AI-powered fraud detection tools.

Nearly all of the organizations surveyed (99%) are in favour of including AI in future SAT tools and workflows.

57% of senior network decision-makers in manufacturing and automotive industries do not believe that AI has been overhyped and state that they are already seeing real benefits across their businesses.

Over 50% of manufacturing and automotive decision-makers see cybersecurity as their top network challenge.

Manufacturers (62%) are already deriving more benefits from AI than other sectors.

96% of organizations see value in using AI to Create dynamic risk scores based on past user behaviour and the types of attacks targeting certain types of users.

69% of enterprise network decision-makers in the manufacturing and automotive sectors are comfortable with increased AI integration in their network operations.

19% of manufacturing and automotive decision-makers think that AI has been overhyped in the short-term but foresee substantial mid- to long-term benefits.

A significant minority (37%) of manufacturing and automotive decision-makers foresee AI causing network costs to rise.

95% of organizations see value in using AI to Automate the creation of training videos.

Over half of respondents (57%) in manufacturing and automotive industries believe AI will reduce their network costs over the next three years.

Automotive leaders suggest that dynamic and adaptive defense mechanisms, and incident response and management, are the areas where AI will have a big impact, with 28% citing each.

Almost one in four (24 percent) of manufacturing and automotive decision-makers say that they are already facing DDoS attacks specifically engineered to circumvent AI-driven cybersecurity defenses.

When asked where they felt AI will have the biggest impact, 32% of manufacturing leaders primarily say real-time detection and response.