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.

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

Just 25% of teams use AI to power vulnerability prioritization

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

The top five vulnerability management problems they’re actively trying to solve with AI today were: false positives (49%), overload of data (39%), reliance on manual processes (33%), disparate results from scanning tools (31%), and false negatives (31%)

A scant 6% reported that AI is detrimental to their security program

A lack of transparency and explainability was the top reason for turning off AI functionality, cited by 58%

46% of security teams primarily depend on AI that is embedded in their security tools and delivered by their vendors versus building their own

52% of Security Engineers/Architects have new AI data discovery responsibilities.

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

Sophisticated threat landscape was the most commonly cited security pain point, named by 60% of respondents

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

21% say they apply AI to security through a mix of vendor-led and internal AI.

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

Looking ahead, 70% of organisations will focus on AI/ML data usage governance.

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.

Just 18% have utilized GenAI to speed up summarization and reporting work

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