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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