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AI Code Security: Why False Negatives Beat Hallucinations

AI Code Security: Why False Negatives Beat Hallucinations

Sonatype CTO Brian Fox argues that AI coding tools have become more dangerous as they’ve gotten smarter—trading visible hallucinations for silent false negatives that leave vulnerable dependencies undetected. The fix requires grounding AI models in real-time dependency intelligence, not just scanning code after it’s written. ECI Research data confirms AI code governance is the top enterprise security investment priority heading into 2026.

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