Read.ai
Cybersecurity statistics about read.ai
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Injection (CWE-74) occurrences grew 3,110%.
66% of analyzed CVEs had minimal real-world applicability.
Only 40% of organizations have adopted malicious package detection.
53% of organizations self-host models from sources where malicious payloads have been detected.
45% of IT leaders believe AI has increased cyber risk significantly.
30% of executives and board members believe AI has increased cyber risk significantly.
51% of Americans aged 65 and older are extremely concerned about AI-powered fraud.
On average, organizations recover 72% of affected data following a ransomware attack.
33% of organizations cite regulatory shifts as a top emerging threat.
42% of organizations report limited visibility into all AI tools or models used across the organization.
94% of organizations are beginning to prepare for quantum computing security risks.
In late 2025, 32% of consumers cited payment security as a concern and 26% cited privacy
In Q4 2025, 73% of consumers reported using AI at some point in their shopping journey
40% of organizations say security policies have not yet been updated to address AI-specific risks.
More than 80% of IT and security leaders report AI agents require more manual oversight than they save in efficiency.
80% of IT security professionals believe AI will significantly reduce the number of people required to perform their current roles.
90% of senior cybersecurity decision makers identify public cloud as a top visibility and vulnerability concern.
Anthropic Claude Opus 4.6 detected an average of 46% of attack evidence per MITRE tactic.
78% of senior cybersecurity decision makers indicate that potential visibility gaps or blind spots could slow detection or investigation of malicious activity.
84% of senior cybersecurity decision makers point to IT vulnerabilities as a worrisome bridge into OT/ICS environments.