AI is primarily being used to identify suspicious behavior (63%) across financial and professional services organizations.

94% of CIOs are actively seeking opportunities to incorporate AI into their business, compared to 89% last year.

86% of CIOs report growing pressure within their organisation to ensure ROI from AI.

Artificial intelligence (AI - 95%), machine learning capabilities (93%), and Internet of Things (IoT - 89%) initiatives are among the most widely adopted emerging technologies over the past 12 months.

57% of security teams find it difficult to enforce policies on training data usage.

83% of Security Engineers/Architects worry most about AI systems understanding data access rights.

Costs were an obstacle for 46% of respondents in effective use of AI.

5% of Security Managers/Directors have low or no confidence in controlling data used for AI training.

Endpoint security was a current application of AI in 52% of security tech stacks

About 16% of security teams say their use of AI has been very beneficial and have made it a core part of their program

Speed of threat detection was used to evaluate AI efficacy by 57% of respondents

Endpoint security (34%), antivirus/anti-malware (31%), and malware analysis (31%) were the security tech categories where AI is thought to be the most overhyped

The majority of organizations (55%) say that they’ve enabled AI in under half the tools in their environments that have it available

39% of firms are using AI to solve data overload problems that stymie vulnerability and exposure management work

Antivirus/anti-malware was a current application of AI in 40% of security tech stacks

Approximately 56% of respondents reported that at least half of their security vendors tout their AI capabilities

55% of Security Managers/Directors added data governance duties for AI training.

Almost 59% of US cybersecurity professionals added new AI data responsibilities in the past year.

Almost 70% of CISOs/CSOs/CTOs have taken on new data discovery responsibilities, specifically for AI initiatives.

Security and privacy risks were a reason for turning off AI functionality, cited by 55%