AI Development
We've curated 7 cybersecurity statistics about AI Development to help you understand how advancements in artificial intelligence are shaping threat detection, automating security responses, and improving overall cybersecurity practices in 2025.
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Of three leading coding agents evaluated (Claude, Codex, and Gemini), Codex finishes with the fewest vulnerabilities and demonstrates stronger remediation behavior during development.
26 of 30 pull requests (87%) introduce at least one vulnerability.
No AI coding agent evaluated (Claude, Codex, and Gemini) produced a fully secure application.
Anthropic's Claude produced the highest number of unresolved high-severity vulnerabilities in the final applications.
Only 20% of dependency versions recommended by AI coding assistants were found to be safe to use in 2025.
44-49% of dependencies imported by AI coding agents contained known security vulnerabilities in 2025.
The proportion of safe dependency recommendations increased from 20% to 57% when AI agents were equipped with security tools in 2025.