Translations:IA et cybersécurité/31/en

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  • Standardize the anonymization of data collection, storage and transmission encryption.
  • Implement information leak detection scenarios for the entire data pipeline
  • Provide a specific, isolated training environment with restricted access to libraries for those handling the data sets.
  • Regularly validate the security level of open-source libraries and components used in training and validation environments.
  • Build adversarial datasets with identified risk scenarios to validate model changes
  • Launch models in production in secure enclaves with limited execution rights.
  • Monitor systems for deviations