Tines

32% of security professionals identify limited resources as an obstacle to scaling AI and automation.

35% of security professionals identify security and compliance concerns as obstacles to scaling AI and automation.

Manual or repetitive work consumes 44% of security teams' time.

50% of organizations have formal, active AI policies in place, and 42% are actively developing AI governance frameworks.

99% of security operations centers use AI.

76% of security leaders and practitioners report emotional exhaustion and fatigue.

31% of security professionals identify integration gaps between tools as an obstacle to scaling AI and automation.

92% of security professionals believe intelligent workflows would add value to their organizations.

Top AI-related cybersecurity concerns are data leakage through copilots and agents (22%), third-party and supply chain risks (21%), evolving regulations (20%), shadow AI (18%), and prompt injection attacks (18%).

Security teams anticipate higher productivity (48%), faster response times (41%), and better data accuracy (40%) from intelligent workflows.

Security teams rate AI as highly effective for threat detection (61%), identity and access monitoring (56%), and compliance and policy writing (55%).

77% of security teams regularly rely on AI, automation, or workflow tools.

22% of security teams use 50 to 99 tools.

Only 72% of security teams can perform their jobs without working extended hours

26% of security teams cite AI hallucinations as a hurdle.

One-third of security teams (33%) are satisfied with their team's tools.

27% of security teams cite compliance as a key blocker to AI adoption.

Most (83%) of security leaders report having a healthy work-life balance.

36% of security leaders use AI for summarisation.

42% of security teams would use gained time from automation or AI for training and development.

88% of security teams are meeting or exceeding their performance goals.

20% of security teams cite slower-than-expected implementation as a hurdle.

32% of security leaders use AI for risk assessment

Nearly all security leaders see the potential to connect AI and automation tools across security, IT (98%), and DevOps (97%) functions.

35% of security teams feel their tech stack lacks key functionality.

If security leaders gained time through automation or AI, 43% would use it to focus more on security policy development.

33% of security teams are worried about the time required to train their teams on AI capabilities.

25% of security teams cite secure AI adoption as a hurdle.

Most security teams (55%) typically manage 20 to 49 tools.

23% of security teams use fewer than 20 tools.

24% of security teams struggle with poor integration of their tools.

38% of security teams would use gained time from automation or AI for incident response planning.

95% of security leaders support shared automation across departments.

60% of security teams are small, with fewer than 10 members.

72% of security teams report taking on more work over the past year.

98% of security leaders are embracing AI.

A mere 5% of security leaders believe AI will replace their job outright.