Only 52% of enterprise leaders feel very confident about the security of data travelling across their own networks.

87% of U.S. IT leaders from enterprise organizations are considering changing their current productivity suite to adopt a more unified and secure platform.

88% of organizations encounter deepfake or impersonation attacks at least occasionally.

41% of IT, cybersecurity, risk, and fraud leaders reported that their company has hired and onboarded a fraudulent candidate.

Only 28% of IT, cybersecurity, risk, and fraud leaders consider deepfake-resistant verification tools a priority for identity and access management modernization.

52% of IT, cybersecurity, risk, and fraud leaders are definitely rethinking identity and access management strategies to address AI-driven identity threats.

40% of IT, cybersecurity, risk, and fraud leaders believe their current defenses against AI-driven identity attacks are definitely adequate.

More than 80% of IT, cybersecurity, risk, and fraud leaders rely on phone and video to confirm identities.

45% of IT, cybersecurity, risk, and fraud leaders reported that deepfake or impersonation attacks are frequent occurrences in their organizations.

80% of enterprises reported an improved cybersecurity posture as a result of AI adoption.

98% of enterprises feel confident in their ability to distinguish between human and AI agents.

Over half of enterprises are already using Agentic AI.

Enterprises are dedicating one-third of their cybersecurity budgets to AI.

70% of enterprises warn that Agentic AI will create fundamentally new security risks.

71% of enterprises state it is critical to urgently develop the capability to distinguish between human and AI agents.

45% of enterprises are updating existing frameworks.

35% of enterprises are adopting new frameworks.

40% of enterprises plan to increase cybersecurity staffing.

The median enterprise maps its controls to about seven frameworks.

The median enterprise maps its controls to about 2,700 requirements.