Secure Distribution of Machine Learning Models

Protect your machine learning models with encryption on any platform


Artificial Intelligence has changed our world

Machine learning as part of Artificial Intelligence is not just a technology, it's more and more part of our daily lives. We see how ML is used in almost every sphere of our lives, from voice helpers, IoT and camera analytics to automation processes on the enterprise level. Due to such fast growth the question arises, how to protect commercial ML models and prevent reuse by competitors.


Cross platform framework of securing ML models allows:

  • Keep the encrypted model inside the binaries and decrypt it on the fly before passing it to an inference engine.
  • Get encrypted models from an external source, such as a local file or a web server.
  • Keep the encryption key inside (configured during building).
  • Get the encryption key from outside (as a parameter via the API call).

Would you like to learn more about ML Encryption Framework? Let’s Get In Touch!

It would be great to hear from you!