Security News > 2021 > December > Deloitte: How sensitive AI data may become more private and secure in 2022
In a report released on Wednesday, consulting firm Deloitte describes two tools that can make AI tasks such as machine learning more private and secure.
There are some technological obstacles to using HE and FL. Processing encrypted data with HE is slower than processing unencrypted data.
Thanks to new and speedier hardware, processing data with HE is now only 20% slower than processing unencrypted data, whereas in the past, it was a trillion times slower, Deloitte said.
These tools may be of particular interest to cloud providers and cloud users, businesses in sensitive industries such as health care and finance, public sector companies that deal with crime and justice, companies that want to exchange data with competitors but still retain their intellectual property and chief information security officers and their teams.
What implications could HE and FL have on your industry as well as similar industries? How would a more secure and private AI affect your company strategically and competitively? To try to answer these questions, monitor the progress of these tools to see how other companies are working with them.
"But while no tools are perfect, HE and FL are valuable additions to the mix. By helping to protect the data that lies at the heart of AI, they can expand AI to more and more powerful uses, with the promise of benefiting individuals, businesses and societies alike."