Enterprise
Cybersecurity statistics about enterprise
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50% of IT devices in enterprise networks use OpenSSH versions that support PQC
In enterprise networks, IT devices most commonly support PQC on TLS (8%), while specialized devices are again left behind (5.6% for IoT and IoMT, 0.8% for OT)
48% of enterprises have consolidated budget control for physical and digital identity.
50% of enterprises have unified reporting ownership for physical and digital identity.
58% of enterprises say managing digital identity has become more complex over the past two years.
59% of enterprises manage three or more distinct credential and authentication systems.
99% of enterprise decision-makers agree that data sovereignty is critical.
40% of enterprises identify risk assessment and management as a top training priority.
40% of enterprises identify security administration as a top training priority.
44% of enterprises identify cloud computing security as a top training priority.
44% of enterprises identify security analysis as a top training priority.
47% of security leaders at enterprises say AI is the most pressing skill their organization is addressing or planning to address through cybersecurity training.
53% of cybersecurity leaders at enterprises cite time and scheduling constraints as the primary barrier to effective training.
70% of enterprises say training is customized by job role rather than standardized one‑size‑fits‑all programs.
73% of security leaders report their enterprise's cybersecurity training budget has increased over the past 12 months.
77% of enterprises use a mix of in‑house and third‑party providers for cybersecurity workforce development.
86% of security leaders at enterprises say their training programs effectively address changing skills needs.
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.
98% of security leaders at enterprises say professional development is allowed during work hours.
AI coding assistants have 97% adoption among enterprise development teams.