Enterprise
We've curated 203 cybersecurity statistics about Enterprise to help you understand how large organizations are strengthening their defenses against complex threats and adopting advanced technologies to secure their vast networks in 2025.
Showing 1-20 of 203 results
11% of enterprise CISOs have security tools specifically designed to protect AI systems.
75% of CISOs report their enterprises rely on extending controls originally designed for other attack surfaces to cover AI-driven workflows and infrastructure.
78% of enterprises fund AI security through existing security budgets.
21% of enterprises plan to introduce a dedicated AI security budget.
1% of enterprises have a dedicated AI security budget.
78% of provisions are in the public cloud, 61% are in virtualized clusters, 48% are in private cloud, and 32% are at the edge.
71% of financial services enterprises prefer building on existing, open-source tools for AI agent orchestration.
Only 4% of enterprises cite licensing costs as the single biggest catalyst for virtualization.
When shaping future virtualization and private cloud strategies, 70% of enterprises say access to unified backup and cyber‑recovery is very important or business critical.
65% of enterprises are already using AI agents today.
When shaping future virtualization and private cloud strategies, 61% say cross‑platform governance is very important or business critical.
Organizations expect a 33% average expansion in agentic AI adoption in 2026.
Only 5% of enterprises are fully ready to implement planned virtualization changes.
100% of enterprises plan to expand agentic AI adoption in 2026.
81% of enterprises have fully adopted or are actively scaling agentic AI across teams.
Over a quarter of IT decision makers place AI readiness at the top of their priorities.
More than two-thirds of enterprises plan material changes to their virtualization strategy within the next two years.
73% of construction enterprises prefer building on existing, open-source tools for AI agent orchestration.
Budget constraints (28%), technical complexity (24%), migration risk (21%), and skills gaps (20%) are cited by enterprises as the top barriers slowing virtualization progress.
57% of enterprises prefer building on existing, open-source tools rather than starting from scratch for AI agent orchestration.