67% of enterprise AI usage occurs through unmanaged personal accounts on corporate devices

86% of organizations have no visibility into how data moves to and from AI tools

45% of employees find workarounds when AI tools are restricted

39% of cybersecurity professionals cite leadership commitment as the top driver of job satisfaction, above compensation and technology investment.

54% of cybersecurity professionals say seeking an apprenticeship, internship, or mentor is among the most valuable steps for anyone entering the field.

Organizations with deeply integrated AI are 40% more likely to report an AI-related incident than organizations still in the exploratory stage.

44.4% of organizations identify automating IT operations as a top AI priority for the next 12 months.

41.0% of organizations identify deploying AI productivity tools as a top AI priority for the next 12 months.

94% of organizations claim they can revoke all physical and logical access within 24 hours of an employee leaving.

48% of enterprises have consolidated budget control for physical and digital identity.

34% of Finance organizations operate fully separate reporting structures for physical and digital identity despite stringent regulatory access-control obligations.

43% of Public Sector organizations experience access revocation failures.

20% of Public Sector credential revocations are performed manually, which is more than double the manual revocation rate in the IT/Technology sector.

65% of organizations report high or expert technical familiarity with passkeys.

35% of organizations experience delays or failures revoking physical or logical access within 24 hours when an employee leaves, with such events occurring in the past two years.

72% of global IT leaders say a lack of real-time data infrastructure is stalling their efforts to scale AI

72% of IT leaders have encountered at least three challenges when scaling AI initiatives

72% of IT leaders report insufficient infrastructure for real-time data processing

66% of IT leaders report uncertainty around data lineage, timeliness, and quality

82% of IT leaders cite AI and machine learning technologies as a key priority