Data security and privacy are also critical to scaling generative AI responsibly. When it comes time to customize and fine-tune a model, organizations need to know where and how their data is being used. They need to be confident their protected data or intellectual property (IP) is not being used to train a public model and that customer data remains private. Organizations need security, scalability, and privacy to be baked in from the start to be viable for their business applications.
