48% of organizations rate AI as effective in threat detection and hunting for deeper insights and reducing manual workload.

62% of organizations say it is difficult to minimize model and bias risks in language model development.

77% of large U.S. companies are concerned about intellectual property theft as a generative AI security risk.

80% of companies say data privacy breaches are the top generative AI security risk.

58% of organizations say prompt or input risks (e.g., misleading, inaccurate, or harmful responses) are very or extremely difficult to minimize.

33% of consumers say they would avoid using AI for security advice because they don't trust the answers to be accurate.

80% of consumers are worried about using AI tools.

90% of people are worried about AI using their data without consent.

43% of consumers would use AI for cyber security help.

56% of CFOs cite AI and automation as their top financial priority.

70% of retail and hospitality CISOs report that AI has been added to their scope of responsibility.

31% of enterprises fully trust AI-sourced recommendations to influence prioritization decisions

One-third of bank leaders say they do not understand agentic AI at all.

59% of organizations say AI makes it more difficult to comply with privacy and security regulations.

Consumers are ten times more worried about getting bad AI advice than they are about a tool's actual cyber threat risk.

56% of organizations report challenges in managing AI user risks, including the unintended spread of misinformation.

79% of organizations have not yet reached full AI maturity in cybersecurity.

62% of US IT and security professionals at companies with at least 1,000 employees believe AI makes it more likely their company will need to pay a ransom to regain access to its data after an attack.

43% of enterprises have adopted a risk-based strategy to govern AI systems.

Only 1 in 5 enterprises reach AI maturity, where AI in cybersecurity activities is fully deployed and security risks are assessed.