64% of security teams have trouble tracking what data feeds their AI systems.

97% of CISOs rate metadata lake technology as either “critical” (36%) or “very valuable” (61%) for solving their data visibility and AI governance issues.

Almost 60% of organisations added new AI data responsibilities in the past year.

Nearly a third of respondents reported that their team spends at least four hours per week training AI models within their own tools or within commercially available AI functionality

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

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

59% of security professionals now have new AI data discovery responsibilities.

46% of firms say that they’re actively trying to use AI to solve false positive issues

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

77% of security teams cannot ensure AI systems respect proper data access rights.

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

False positive and negative rates are the No. 1 way that organizations reported that they evaluate the efficacy of AI in security, named by 66% of respondents

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

79% of security teams struggle to classify sensitive data used in AI/ML systems.

56% cited data protection as a security function where AI will provide the most value in the next 3 years

86% of security teams today utilize some type of AI within their security tool stack

42% cited identity and access management as a security function where AI will provide the most value in the next 3 years

54% of organizations added AI training data governance duties in the past year.

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

56% of security teams say the use of AI has become crucial to their team’s operations