AI security is not only about protecting a model after deployment. Compromised training data can ...AI security is not only about protecting a model after deployment. Compromised training data can ...
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AI security is not only about protecting a model after deployment.
Compromised training data can cause a network intrusion model to learn the wrong patterns, miss threats, and create a false sense of security.
Businesses using AI should ask:
• Can the training data be trusted?
• Who can modify the data pipeline?
• Has the model been tested against manipulation?
• Are false negatives reviewed before deployment?
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