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When Mistral says some closed models scored near zero on a cyber test, it means they were highly vulnerable to malicious attacks or manipulation. These tests assess an AI's resilience against attempts to extract sensitive data, inject harmful instructions, or make the model behave unexpectedly. A low score indicates significant security weaknesses.
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