AI remains unreliable as one-size-fits-all code security tool, comparison finds

For a paper published in the International Journal of Applied Cryptography, a team compared 11 leading large language models (LLMs) for software security. They found that no single system consistently outperforms its rivals in detecting vulnerabilities. This, they suggest, means organizations must select such tools according to the specific software they are analyzing.

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