77% of organizations report that inference is their dominant AI activity.

Organizations spend a median of $24.5 million annually on AI tools that prevent and respond to downtime.

Only 40% of organizations have a formal AI governance framework in place.

One in three large organizations lack a formal AI governance framework.

All technology leaders report their organization has experienced some form of AI-related downtime.

43% of consumers say they would use AI for cyber security help.

46% of middle market companies have data governance policies for AI.

The median threat actor researched or used AI assistance in 15 different documented techniques, with some Actors leveraging as many as 40 or 50.

90% believe employees are using artificial intelligence in their organization, but only 22% say AI return on investment (ROI) has met or exceeded their expectations.

35% of law firms cite data privacy and security as AI-related concerns.

47% of large organizations do not have full visibility into employee AI tool usage.

67% percent of users are using non-corporate accounts on their corporate devices to access AI services

30% of executives and board members believe AI has increased cyber risk significantly.

Less than 2.5% of the AI-assisted malware observations involved less- common techniques with one or fewer known malware examples.

There is an 82-percentage-point gap between AI belief (91%) and AI deployment readiness (9%) in the U.S.

17% of managers at enterrpises report that AI exceeded expectations.

71% of IT professionals say AI has made their role more demanding.

63% of organizations expect to embed AI as a baseline capability in day-to-day security operations by 2027.

56% of IT professionals say AI has added the responsibility of designing intelligent AI-driven workflows.

65% of IT professionals report that AI reduces manual effort.