Node.js
Cybersecurity statistics about node.js
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The Gentlemen ransomware group increased from 35 victims in Q4 2025 to 182 victims in Q1 2026.
56% of IT professionals say AI has added the responsibility of designing intelligent AI-driven workflows.
65% of IT professionals report that AI reduces manual effort.
Fewer than 40% of C-suite leaders agree that formal training is the most critical element for building AI skills.
32% of organizations have already established clearly defined governance or guardrails for AI security tools.
47% of IT professionals say AI has added the responsibility of evaluating and validating AI outputs.
61% of IT professionals report that AI provides faster root cause analysis.
42% of organizations that experienced a cyber incident report customer or constituent disruption.
41% of organizations that experienced a cyber incident report financial loss or revenue impact.
25% of organizations say shadow IT and unauthorized AI tool usage are a primary concern related to employee AI tool use and data security.
49% of organizations increased cybersecurity budgets year-over-year.
63% of senior cybersecurity decision makers anticipate boosting incident response by embedding AI across threat detection and incident response activities.
86% of private healthcare security decision makers report legal and communications challenges when responding to a cyber attack.
89% of senior cybersecurity decision makers report limited executive or board involvement in incident response readiness and decision making.
83% of organizations in crypto and decentralized finance, 79% in retail, and 76% in manufacturing experienced cyber attacks.
99% of bot traffic is unwanted or unverifiable.
Only 1% of bots are verified or wanted.
Every model produced at least one false-positive run by hallucinating vulnerable paths in the OpenNDS real-world task
66% of security practitioners spend more than half their time manually validating findings rather than resolving the underlying vulnerabilities.
69% of security practitioners at mid-sized organizations report growing difficulty keeping up with increased code volume.