Ensuring Trustworthy AI and Strengthening Security for sensitive data in the Multimodal Clinical world

Protected multi-modal data fed into AI-driven analytics is the standard now. 

By definition, we are sourcing disparate, but protected data sources and centralizing their analyses, and then distributing reports across many channels. 

There needs to be not only a trusted audit trail through the entire process, but a deeper trust that erroneous changes and risk are understood and transparent; a trustworthy foundation.

Many AI models are considered priceless intellectual property – companies spend millions of dollars building them, and the parameters and model weights are closely guarded secrets. 

The data sets used to train these models are also considered highly confidential and can create a competitive advantage. As a result, data and model owners are looking for ways to protect their data sets, whether at rest, in transit or while in use.

SAS® Viya®, an end-to-end data and AI platform combined with confidential computing offered by Intel® TDX, facilitates these needs into repeatable standards throughout the entire analytic life cycle. 

This comprehensive approach not only enhances trust in AI and the mathematics behind it, but also fortifies the security of clinical analytics for life saving decisions.