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

72% of CISOs express the most concern about discovering data used in AI initiatives.

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

The top three most common security use cases for AI are endpoint security (52%), basic vulnerability scanning (47%), and antivirus/anti-malware (40%)

Only 21% use AI to automate away configuration management and system hardening

Among those security departments that do their own custom AI work, 66% report that they have hired their own internal data science staff within their security teams

35% cited reporting as a security function where AI will provide the most value in the next 3 years

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

100% of those who said their AI is very beneficial and a vital part of their security program have internal data science staff members

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

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

Speed of incident response was used to evaluate AI efficacy by 51% of respondents

Less than half (48%) of organisations express high confidence in controlling sensitive data used for AI/ML training.

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

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

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

Machine learning-based discovery tools often identify 31% more API endpoints than those reported by enterprises.

49% perform a privacy risk assessment to monitor their privacy programs.

Only 11% of AI-powered APIs implemented robust security measures, such as bearer tokens with expiration times.

90% of surveyed executives expect to scale, optimise, or innovate with AI within the next two years.