Accelerating Machine Learning Innovation Through Security
To build successful machine learning models, you often need datasets unique to your business. These datasets are extremely valuable assets and need to be secured throughout every step of the machine learning process—including data preparation, training, validation, and inference.
In a typical machine learning project, it can take months to build a secure workflow before you can begin any work on your models. Maintaining executive buy-in means delivering fast results—so anything that shortens security-related delays will help ensure organization-wide commitment to your project and your larger machine learning initiatives.