By 2028, enterprises expect 32% of network operations to remain traditionally human-managed.

67% of enterprises say their biggest fear is deploying AI without proper expertise.

90% of enterprises have validated bulk recovery, demonstrating maturity in disaster recovery preparedness.

Nearly 60% of enterprises believe AI-driven networks require a fundamentally different security architecture than traditional networks.

AI agents operate across enterprise workflows: 67% are task automation agents, 52% are research agents, 50% are developer-assist agents, and 50% are security or monitoring agents.

65% of enterprises believe AI-powered defences will outpace AI-powered attacks within five years.

Over 90% of large U.S. companies use AI in daily production operations.

11 device types appear on the riskiest devices list for the first time: Serial-to-IP Converters and Workstations (IT) Printers, Time Clocks, and RFID Readers (IoT) Power Distribution Units (PDUs), I/O Modules, and BACnet Routers (OT) Medication Dispensing Systems, Medical Image Printers, and DICOM Gateways (IoMT)

31% of US IT and security professionals at companies with at least 1,000 employees report their organization does not fully follow the 3-2-1 backup rule.

58% of US IT and security professionals at companies with at least 1,000 employees have adopted Zero Trust principles.

89% of US IT and security professionals at companies with at least 1,000 employees say AI-powered cyberattacks make them more concerned about their organization’s data safety.

79% of US IT and security professionals at companies with at least 1,000 employees say AI-powered attacks gaining access to backups is their top concern.

75% of companies say exposure of legacy data is a quantum security risk and 75% have not yet deployed solutions to address that risk.

60% of companies have not yet deployed or are only planning to deploy solutions to address generative AI data privacy breach risk.

75% of large U.S. companies have not implemented a solution to address quantum security threats to legacy data.

78% of large U.S. companies state that data breaches are the greatest generative AI risk that must be addressed within the next 12 months.

59% of enterprises confirm or suspect the presence of shadow AI within their environments.

12% of large U.S. companies indicate their companies have undergone a transformation.

Routers account for one-third of the most critical vulnerabilities in organizational networks.

57% of large U.S. companies have not implemented countermeasures to address generative AI security concerns.