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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?
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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45 voted
51%
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Vectis
