A new approach called Veritas uses a multi-agent security pipeline to enhance reliability in AI-driven code scanning by treating Large Language Models as unreliable machines needing quality control. This method employs two opposing agents—one for expansive recall and another for precise verification—to reduce false positives and negatives, ensuring developers review only credible findings tied to actual code evidence.
Read the full article at Towards AI - Medium
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Ali NematiWritten by Ali
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