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Choose Wisely: AI-Generated Coding Risk Varies, a Lot

ID: 950bf88f-acab-528f-9194-ba68b5c7f9b6

STIX ID: report--950bf88f-acab-528f-9194-ba68b5c7f9b6

Feed Name: Dark Reading

Threat Score
45/100

Date Published: 2026-07-21

Date Updated: 2026-07-21

Author: Alexander Culafi

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Secure Code Warrior's AI Trust Index analyzed 1,760 codebases generated by 16 large language models and across 11 development frameworks, finding an average of 15 vulnerabilities per codebase (4.3 high/critical) and over 27,000 vulnerabilities overall; the report concludes that models exhibit repeatable vulnerability patterns tied to specific frameworks and recommends targeted security gates and training for high-risk environments.

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