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LLMs hit security plateau: Why AI code can't be trusted yet
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Fusion42 · 14 August 2026 · Fusion42 review
Large language models (LLMs) used in AI coding are reaching a security plateau due to limitations in training data quality and lack of access to secure enterprise code, leading to persistent vulnerabilities and a growing volume of AI-generated code that increases software risk.
This Wire brief sits within Fusion42's coverage of AI Frontier Models, Cybersecurity and Enterprise Software.
◆ ◆ The Wire takeaway
AI developers face a security deadlock as new model versions cannot improve safety without better training data, forcing you to invest more in code review tools and manual verification to prevent security breaches.
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1 source · 13 Aug 2026
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