81% were optimistic about AI applicability to dealing with overload of data

Lack of skilled personnel is the biggest obstacle to the effective use of AI in cybersecurity today, cited by 55% of respondents

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

82% were optimistic about AI applicability to sifting through disparate results from scanning tools

Lack of transparency in AI decision making was an obstacle for 46% of respondents in the effective use of AI.

Around 45% say that AI is moderately beneficial and they’re starting to note the benefits

46% of Security Managers/Directors report the lowest confidence in controlling data used for AI training.

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

Just a fraction of respondents said that their tools come trained and/or tuned — 5%

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

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

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

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

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 top use case where security leaders say AI will offer most value is vulnerability and risk management, named by 74% of respondents

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

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

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

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

Just 6% of respondents say that they fully outsource their AI training