Read.ai
Cybersecurity statistics about read.ai
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177,000 new malicious packages were detected across registries in the last year.
56 malicious extensions were identified on OpenVSX.
Secrets detection is active at just 28% of organizations.
45% of security and DevOps professionals say reviewing and hardening AI-generated code is now a major time drain.
97% of organizations claim they have certified model governance.
In 2025, 27.89% of all adversary infrastructure tracked was hosted in the US, an increase from 23.63% in 2024.
China remained the second largest adversary infrastructure hosting location at 13.55%, down from 17.57% the previous year.
The median threat actor researched or used AI assistance in 15 different documented techniques, with some Actors leveraging as many as 40 or 50.
40% higher click rates make mobile devices the new favorite target.
Only 26% of critical vulnerabilities were fully remediated by organizations in 2025, a drop from the previous year’s 38%.
The median time for full resolution of critical vulnerabilities went up to 43 days, almost two weeks more than the previous year’s 32 days.
69% of ransomware victims didn’t pay.
265 unique automotive-specific vulnerabilities identified in Q1 2026
28% increase in automotive vulnerabilities in Q1 2026 compared to Q4 2025
102% year-on-year increase in automotive vulnerabilities (Q1 2026 vs Q1 2025)
Q1 2026 automotive vulnerabilities span 77 unique CWEs
Q1 2026 automotive vulnerabilities map to 25 distinct TTPs in the Auto-ISAC Automotive Threat Matrix
Web and Local Shell combined for 33% of Q1 2026 automotive attack vectors
In-vehicle and Backend systems accounted for more than 81% of Q1 2026 automotive vulnerability targets
PCA identified 14 unique methods of entry in the Q1 2026 automotive threat landscape