25% of IT and security leaders say their threat detection and response process is fully automated.

70% of IT and security leaders say they have fully or mostly automated their threat detection and response process.

Only 14% of organizations feel fully confident in their insider threat detection capabilities.

38% of UK IT leaders cited AI-driven threat detection as the most common defence against email-related incidents.

Threat detection/escalation process (27.85%) was among the controls with the highest failure rates in enterprise fraud attacks.

Rural healthcare organisations trail urban ones by 22% in adopting AI-based threat detection.

Over 50% of organizations use AI to detect threats.

Nearly 60% of industrial organizations have low to no confidence in their Operational Technology (OT) and Internet of Things (IoT) threat detection capabilities.

Organizations with a proactive approach to threat intelligence (44%) are considerably more likely to use advanced threat detection technologies over the next 12 months, compared to those with a reactive approach (56%).

Global threat detection volume from APT (Advanced Persistent Threat) actors rose 45% at the beginning of this year.

Automation efforts have decreased respondents' mean time to detect (MTTD) and mean time to respond (MTTR) by 28%, on average.

31% of CISOs are leveraging AI to improve threat detection and response times.

When asked where they felt AI will have the biggest impact, 32% of manufacturing leaders primarily say real-time detection and response.

85% of organizations use AI for threat detection.

53% of cyber resilient organizations are committing significant investment to advanced threat detection.

44% of threat detections originate from the cloud.

56% of threat detections originate from the endpoint.

44% of threat detections originate from the cloud.

53% of organizations plan to adopt AI agents for threat detection.

Traditional API security systems can take 5-10 minutes to detect and remediate threats.