Endpoint Security
We've curated 16 cybersecurity statistics about Endpoint security to help you understand how protecting devices like laptops and smartphones from malware and unauthorized access is evolving in 2025.
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92% of organizations have AI installed on at least some local machines with access to SSH and encryption keys.
58% of enterprise CISOs agree that a ransomware incident left endpoints inoperable.
Over the past 12–18 months, 57% of enterprise CISOs report their enterprises experienced an attack that originated on a remote, mobile, or hybrid device.
59% of organizations agree they must take physical possession of an endpoint to remediate and restore the device after an incident.
Remote monitoring and management (RMM) tool abuse accounted for 26% of all detections in monitored SMB environments.
Critical OS patching across PCs running Windows 10 and 11 is behind an average of 127 days, up from 56 days in 2025.
Endpoint security tools fail 20% of the time.
98% of organizations rely on Endpoint Detection and Response (EDR) for ransomware defense.
25% of security leaders trust Endpoint Detection and Response (EDR) to defend against evolving ransomware threats.
42% of respondents surveyed have expert-level skill in endpoint security.
41% of respondents surveyed need significant skill improvement in endpoint security.
95% of respondents indicated that Endpoint security requires significant or moderate improvement.
29% of SMBs have deployed endpoint security.
Endpoint security was a current application of AI in 52% of security tech stacks
Endpoint security (34%), antivirus/anti-malware (31%), and malware analysis (31%) were the security tech categories where AI is thought to be the most overhyped
The top three most common security use cases for AI are endpoint security (52%), basic vulnerability scanning (47%), and antivirus/anti-malware (40%)