AI-driven cyberattacks surge, costing billions and generating vulnerable code

A new IBM report indicates that AI-enabled data breaches have increased by 56% year-over-year, now accounting for one in four malicious breaches and costing an average of $6 billion. This trend is exacerbated by advanced AI models chaining vulnerabilities, as seen in a recent breach at Hugging Face involving OpenAI systems. Concurrently, a Veracode report found that AI coding tools generate vulnerable code 44% of the time, highlighting a growing security gap despite advancements in AI capabilities. AI

IMPACT AI is rapidly becoming a dual-use technology, increasing cyberattack sophistication and costs while also introducing vulnerabilities through AI-generated code.

RANK_REASON The cluster reports on a significant increase in AI-enabled cyberattacks and the security risks associated with AI-generated code, based on reports from major entities like IBM and Veracode. [lever_c_demoted from significant: ic=1 ai=1.0]

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• Chris Wysopal
• Claude Opus 4.8
• GLM-5.2
• GPT-5.3-Codex
• GPT-5.5
• Hugging Face
• IBM
• OpenAI
• Ponemon Institute
• Suja Viswesan
• Veracode

• safety
• product

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