Read.ai
Cybersecurity statistics about read.ai
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The manufacturing sector experienced a 61% year-over-year surge in ransomware attacks in 2025, the sharpest growth of any industry.
51% of enterprises say AI adoption is outpacing their ability to properly secure it.
Nearly one in eight phishing attacks that reach student inboxes originate from compromised internal accounts.
61% of enterprises report data exposure from AI agent-related incidents.
In 2025, the Linux Kernel recorded 2,257 reported vulnerabilities, the highest number among projects.
In 2025, stolen credentials were linked to 22% of data breaches.
In 2025, the Lumma infostealer was responsible for 2.2 million dark web listings, roughly 42% of the total.
Fewer than one in fifteen internet-accessible SSH servers globally have adopted quantum-resistant encryption.
In 2025, ransomware groups claimed 7,809 victims, a 27.3% year-over-year increase.
Average claim severity climbed to an all-time high of $221K.
45% of organizations cite an insufficient or unclear data strategy as a top data challenge.
10% of organizations cite a lack of data as a primary issue for AI adoption.
39% of organizations actively using, piloting, or exploring AI say most AI-enabled workflows still rely on separate, standalone tools.
MFA misconfiguration accounted for approximately 26% of all incurred losses in Resilience's manufacturing portfolio.
Wrongful data collection caused 12% of manufacturing claims, driven primarily by website tracking and pixel-related litigation.
AI-driven detection achieves 92.4% accuracy compared to 67% accuracy for human analysts alone.
Only 22% of healthcare and manufacturing security leaders have hands-on experience with modern microsegmentation.
68% of healthcare and manufacturing organizations are pursuing microsegmentation as part of a Zero Trust strategy.
69% of healthcare and manufacturing security leaders demand identity-based controls in any modern solution.
Microsegmentation accounts for 24% of currently deployed Zero Trust initiatives.