Over a third of organizations worry about sensitive data being used in AI training.

Two-thirds (65%) of organizations have already deployed AI-enhanced data security capabilities to classify data.

Two in five organizations cite data loss via public or enterprise GenAI tools as a top concern.

Respondents reported an average of 11 data loss incidents per year, with some organizations experiencing multiple incidents each month.

42% of organizations attribute their most significant data loss events to compromised users.

32% of organizations attribute their most significant data loss events to malicious insiders.

64% of organizations rely on six or more data security vendors.

32% of organizations flag unsupervised data access by agents as a critical threat.

Just 1% of users are responsible for 76% of data loss events.

96% of organizations surveyed experienced data loss or exposure from misdirected email in the past year.

Resolving a data loss incident can take between one and four weeks for more than one in five organizations (21%).

97% of security and IT pros surveyed believe behavioral AI can help prevent accidental data loss before it occurs.

58% of organizations attribute their most significant data loss events to careless employees or third-party contractors.

48% of organizations experienced encrypted or lost access to data or systems due to ransomware.

Nearly 25% of organizations that experienced a ransomware attack suffered significant disruption or data loss.

24% of victims were affected by publicly released or stolen data, leading to ongoing competitive and compliance risks.

36% of insider incidents involved user credentials.

28.8% of Managed Service Providers (MSPs) have already experienced a client data loss event that could have been prevented with a dedicated solution.

77% of organizations experienced insider-driven data loss in the past 18 months.

• 21% of organizations faced more than 20 insider-related data loss incidents in the past 18 months.