Read.ai
Cybersecurity statistics about read.ai
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The top 10 countries account for 61% of malicious traffic, down 22% compared to 2024.
Web applications are the most attacked service type at 61%, up from 41% in 2024; remote management protocols account for 15%.
By the end of 2025, AI coding assistants reach a 90% adoption rate across enterprises.
Only one in five cyber security professionals is female.
32% of security professionals identify limited resources as an obstacle to scaling AI and automation.
35% of security professionals identify security and compliance concerns as obstacles to scaling AI and automation.
Code duplication increases from 10.5% to 13.5% when using AI coding assistants.
AI-generated code results in 15–18% more security vulnerabilities per line of code compared to human-written code.
70% of IT and security leaders say they have fully or mostly automated their threat detection and response process.
GitHub Copilot holds a 60–65% market share among AI coding tools.
Manual or repetitive work consumes 44% of security teams' time.
Approximately 21% of AI tool licenses are underutilized.
Data breaches cause immediate anxiety for 60 percent of affected consumers and immediate frustration for 59 percent of affected consumers (2025)
The Identity Theft Resource Center tracks 3,322 data compromises in 2025 (2025)
45% of enterprise organizations say security and DevOps teams are very aligned on tooling and workflows.
AI-generated pull requests wait 4.6 times longer for review than human-written pull requests.
The number of victim notices in 2025 is 278,827,933, a decrease of 79 percentage points from 2024 (1,367,117,021) (2025)
Fifty percent of affected consumers cite immediate financial fraud as their primary fear, and 54 percent of consumers report an increase in targeted phishing attempts after a breach (2025)
85% of cybersecurity professionals in North America and Europe at companies with at least 1,000 employees expect digital identities for AI agents to be as common as human and machine identities within five years (2026).
50% of cybersecurity professionals in North America and Europe at companies with at least 1,000 employees have implemented governance frameworks to address AI-based vulnerabilities (2026).