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 181-200 of 203 results
77% of enterprises agree that IT and sustainability teams are working closely on data management and data erasure tools to meet sustainability goals.
46% of enterprises said improper network configuration was one of the most common ways to lose data.
Enterprises upgrading endpoint devices for AI are upgrading an average of 25% of those devices.
The average increase in compliance investment among businesses is 46%.
42% of enterprises without policies regarding data disposition are rolling out or defining them.
55% of enterprises have policies in place regarding data disposition.
Of enterprises that have deployed AI, 98% have upgraded endpoint devices.
More than half (over 50%) of enterprises are increasing their investment in compliance.
32% of enterprises said ransomware was one of the most common ways to lose data.
In the last three years, 86% of enterprises have experienced a data breach.
More than 50% of enterprises are using AI to help clearly define data retention and sanitization.
Just over a fifth (slightly over 20%) of enterprises said that AI is making compliance more difficult.
Up to 47% of functional devices and drives destroyed for data security reasons are still functional.
25% of laptops and desktops destroyed for data security are still functional.
Only 36% of enterprises were aware of IEEE 2883-2022
59% of enterprises have adopted at least one new security solution at the request of their cyber insurance provider.
Pentesting accounts for 11% of the total IT security budgets of U.S. enterprises.
The average total IT security budget for U.S. enterprises is $1.77 million.
84% said that supply chain vulnerabilities were the most significant threat to their enterprise applications.
12% of enterprises are waiting for security controls to be ready before deploying AI.