Node.js
Cybersecurity statistics about node.js
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Only 38% of technology executives consistently identify the root cause of a downtime incident.
Undisclosed ransomware attacks increased by 2% year-on-year.
Ransomware victims were located in 97 countries in Q1 2026.
Nearly 20% of marketing professionals report it takes an entire quarter to recover brand health after remediation.
98% of organizations with the lowest downtime costs confirm end-to-end visibility is very or extremely important for reducing incidents.
71% of technology executives rate publicly disclosing a data breach as very or prohibitively disruptive, up from 23% in 2024.
90% of tech leaders report increased demand for customer support during downtime.
All technology leaders report their organization has experienced some form of AI-related downtime.
There is an 82-percentage-point gap between AI belief (91%) and AI deployment readiness (9%) in the U.S.
7% of organizations were unable to confirm whether they had been attacked at all in the past year.
52% of global organizations cite legacy infrastructure as a primary blocker to security or AI deployment.
48% of global organizations cite migration complexity as a primary blocker to security or AI deployment.
97% of organizations commit to implementing AI.
57% of organizations report a significant capacity gap in AI security and risk management.
41% of global organizations rank cost as a primary blocker to security or AI deployment.
Capability gaps exist across the AI stack: 57% report gaps in AI security and risk management, 57% in AI operations and monitoring, 54% in cost optimization, and 45% in AI infrastructure expertise.
57% of organizations are upskilling existing staff as the primary response to talent gaps, compared with 49% hiring new technical staff.
More than half of organizations with fewer than 250 employees report having no dedicated security team.
Across the global sample, one in three businesses reported a confirmed cyberattack in the past year.
90% believe employees are using artificial intelligence in their organization, but only 22% say AI return on investment (ROI) has met or exceeded their expectations.