Artificial Intelligence
Cybersecurity statistics about artificial intelligence
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Mozilla CNA Q1 CVE disclosures spiked 164% due to AI-assisted tooling against the Firefox engine.
90% of IT professionals express confidence in AI’s ability to improve monitoring and observability operations
AI-related illicit discussions increased by 1,500% between November and December 2025.
72% of financial institutions are only partially aware of which vendors use AI, and 0% feel extremely confident managing vendor AI.
69% of cybersecurity professionals in North America and Europe at companies with at least 1,000 employees believe that vulnerabilities in AI agents and autonomous systems pose a greater threat to their company's security and identity systems than human misuse of AI (2026).
50% of cybersecurity professionals in North America and Europe at companies with at least 1,000 employees have implemented governance frameworks to address AI-based vulnerabilities (2026).
99% of security operations centers use AI.
28% of cybersecurity professionals in North America and Europe at companies with at least 1,000 employees believe they can prevent a rogue AI agent from causing damage (2026).
90% of security leaders say AI/ML is extremely or very valuable in reducing alert fatigue and improving detection accuracy.
By the end of 2025, AI coding assistants reach a 90% adoption rate across enterprises.
86% of cybersecurity professionals in North America and Europe at companies with at least 1,000 employees agree that AI agents and autonomous systems cannot be fully trusted without unique, dynamic digital identities (2026).
55% of security leaders in North America and Europe at companies with at least 1,000 employees say their C-suite is not taking agentic AI risks seriously enough (2026).
85% of cybersecurity professionals in North America and Europe at companies with at least 1,000 employees expect digital identities for AI agents to be as common as human and machine identities within five years (2026).
By the end of 2025, healthcare and insurance enterprises lag technology and startup sectors in AI coding assistant adoption by 9–12 percentage points due to regulatory requirements.