Read.ai
Cybersecurity statistics about read.ai
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39% of enterprises identify over-trust in AI-generated outputs as a leading anticipated risk.
11% of identity crime victims report losses greater than $1,000,000.
52% of campus IT leaders cite cybersecurity and risk exposure as the top network challenge, surpassing network performance and reliability.
67% of campus IT teams are currently understaffed.
61% of higher education institutions experience network disruptions at least monthly.
18% of higher education institutions are fully aligned with Zero Trust principles.
48% of General Counsels say AI's impact hasn’t fully materialized yet.
Nearly half of legal leaders devote up to 40% of their workload to enterprise-wide risk and compliance.
35% of enterprises report limited or no visibility into their AI-generated code.
19% of enterprises identify agentic AI risk as their top AI security challenge.
17% of enterprises identify AI code security as their top AI security challenge.
15% of enterprises identify adversarial AI attacks as their top AI security challenge.
88% of enterprises believed AI could significantly enhance their security visibility in 2025.
86% of enterprises are using AI-generated code in production.
82% of enterprises have unknown AI agents running in their IT infrastructure.
65% of enterprises have experienced at least one AI agent-related incident in the past 12 months.
33% of all business email compromise in higher education is lateral.
Only 21% of enterprises have formal decommissioning processes for AI agents.
In 2025, cybercriminal groups led threat activity in North America with 52%.
48% of organizations cite data security and privacy issues as a top data challenge.