LLMs hit security plateau: Why AI code can't be trusted yet

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. Wire is Fusion42's founder-focused intelligence feed: each story is connected to the funds and startups it names — every one with a live profile on Raise or Scout — so founders can follow the capital and the momentum behind the headline rather than just the headline itself. Wire analysis is one of the live surfaces Arthur reasons over.