Only 20% of organizations fully monitor employee use of shadow AI.

Only 23.5% of organizations can respond at the speed attackers move.

Nearly 63% of organizations require between one and three days to remediate identified risks.

Organizations with 500 to 999 employees reported a 40.3% breach rate, the highest of any size segment.

41% of senior security and IT leaders at U.S. enterprises with 500+ employees have no defensible, methodology-backed dollar estimate of their identity risk exposure.

In North America, 12% of breached organizations reported losses above $250,000 in the past year.

73% of security leaders report their enterprise's cybersecurity training budget has increased over the past 12 months.

47% of security leaders at enterprises say AI is the most pressing skill their organization is addressing or planning to address through cybersecurity training.

85% of senior security and IT leaders at U.S. enterprises with 500+ employees express concern that AI-accelerated vulnerability discovery is outpacing their organization's ability to prioritize and respond.

In North America, 24% of breached organizations reported losses of at least $100,000 in the past year.

94% of security leaders at enterprises feel they are keeping up or are ahead of the curve in adapting training to emerging technologies and shifting security requirements.

53% of cybersecurity leaders at enterprises cite time and scheduling constraints as the primary barrier to effective training.

44% of enterprises identify cloud computing security as a top training priority.

40% of enterprises identify security administration as a top training priority.

77% of enterprises use a mix of in‑house and third‑party providers for cybersecurity workforce development.

70% of enterprises say training is customized by job role rather than standardized one‑size‑fits‑all programs.

AI coding assistants have 97% adoption among enterprise development teams.

86% of security leaders at enterprises say their training programs effectively address changing skills needs.

48% of development teams experience bottlenecks in code rework related to AI-generated code.

97% of development teams have adopted AI coding assistants.