Read.ai
Cybersecurity statistics about read.ai
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Across the surveyed countries, 64% of organisations report having some or strong governance in place for agentic AI.
Overall visibility over where data is stored, processed and potentially accessible is 97% in Germany and 90% in both the Netherlands and Italy.
89% of UK IT decision makers agree that public policy and regulation should mandate open source principles such as transparency and auditability to help organisations achieve AI sovereignty.
The regional average agreement across EMEA that public policy should mandate open source principles is 77%, with France at 70% and Germany at 72%.
GreyNoise sensors observe eight distinct surges targeting Cisco before the advisory for CVE-2026-20127, with the earliest surge occurring 39 days before disclosure.
SonicWall CVE-2026-0400 experienced six surges with lead times compressing from 37 days to 3 days and peak session volume reaching 69 times the median.
Fortinet CVE-2026-24858 provides one day of warning before disclosure.
More than 80% of fraud prevention, risk, and compliance professionals report that mule activity is detected reactively rather than prevented before suspicious transactions occur.
78% of financial institutions make improving mule account detection a high or top priority over the next 12 months.
94% of organizations say well-connected data, processes, and applications are highly important to successful AI adoption.
27% of organizations say data, processes, and applications are well connected in their organization today.
65% of organizations say their structured data is somewhat or fully prepared for AI use.
19% of enterprises identify unclear code provenance as a top anticipated risk.
30% of enterprises report increased trust in AI since the previous RSA Conference.
46% of organizations cite insufficient data management and governance as a top data challenge.
80% of enterprises were not prepared to meet software supply chain security requirements in 2024.
46% of enterprises use AI-generated code frequently or always.
Only 17% of enterprises have full visibility into their AI-generated code.
89% of enterprises are confident in their ability to secure AI-generated code.
45% of organizations say their AI projects are delivering the outcomes they expected.