Techniques that keep data protected even while it is being processed are making it more realistic to run AI on sensitive information in regulated industries. By combining secure virtual machines with GPUs operating in a protected mode, providers can offer AI services that do not require handing readable data to the processing environment.
Healthcare, law and finance have held back from cloud AI precisely because of rules about exposing personal records, and processing has been the weak point.
What it means: sectors that were effectively locked out of cloud AI by compliance rules now have a credible path in. For businesses in those fields, it is worth asking providers specifically about confidential-computing options, because it can be the difference between an AI project that is allowed and one that is not.