Report by Tines
Tines Report Finds Widespread Use of AI in Security Operations, But Manual Work Persists.html
Key Findings
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.