Network Security
We've curated 39 cybersecurity statistics about Network security to help you understand how threats like malware and unauthorized access are being countered through technologies like firewalls and intrusion detection systems in 2025.
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87% of enterprise servers accept inbound RDP or SSH connections from broad internal sources, giving attackers wide access pathways once inside the network.
East–West internal traffic represents more than 70% of a company’s communications and remains unprotected.
80% of enterprise servers are reachable from anywhere inside the network, creating greenfield conditions for ransomware, operational disruption, and full-environment compromise.
24% of organizations can fully inspect AI traffic without impacting performance
49% of organizations expose risky ports and services.
9% of organizations expose SNMP on the public internet.
8% of organizations expose UPnP on the public internet.
When session volume and IP count spike simultaneously, lead time extends to 21 days.
52% of campus IT leaders cite cybersecurity and risk exposure as the top network challenge, surpassing network performance and reliability.
18% of higher education institutions are fully aligned with Zero Trust principles.
68% of IT leaders at higher education institutions want "built-in" security in their network architectures.
Distributed surges average 21.3 days of lead time before disclosure.
Concentrated hosting surges average 7.5 days of lead time before disclosure.
75% of network-layer DDoS attacks last less than one minute.
For network intrusions, unpatched vulnerabilities were the root cause 21% of the time.
Mexico, Brazil, and the United States accounted for 31%, 24%, and 20% of network-layer observed attack traffic, respectively.
For network intrusions, the root cause was not found 34% of the time.
Only 2% of network-layer DDoS attacks extend beyond ten minutes.
Network-layer attacks accounted for 82% of all observed DDoS incidents, a 20% increase from the previous report.
Nearly 60% of enterprises believe AI-driven networks require a fundamentally different security architecture than traditional networks.