Read.ai
Cybersecurity statistics about read.ai
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Automotive applications faced a 91% attack rate in 2026.
89% of employees say they feel safe reporting mistakes in organizations that prioritize cybersecurity as a culture.
19% of cybersecurity leaders report their organizations have an integrated and culture-embedded approach in place to manage human-related cybersecurity risk.
58% of cybersecurity leaders report that AI agents are already taking actions within organizational workflows.
52% of organizations report their use of AI is unapproved or ungoverned.
86% of employees say deepfake content is so realistic that it is harder to know what to trust.
64% of employees say it is possible that they could be tricked by AI-enabled attacks.
58% of cybersecurity leaders say mistakes during everyday work have had the greatest impact on their organization’s cybersecurity in the past 12 months.
42% of cybersecurity leaders identify AI-enabled attacks as a key driver of future human-related cybersecurity risks.
Over a third of employees commonly source their own agentic AI tools when options are unavailable or restrictive.
Operations runs just 18% of its AI activity on enterprise plans.
74.6% of all AI use at work has a clear business purpose.
Malicious npm packages surged 451% year-over-year.
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.