IBM secures cloud computing with encryption breakthrough
In the future, businesses could be able to fully analyse encrypted data without any threat to privacy, which could be very useful in the cloud.
IBM has claimed that one of their researchers has solved a problem that has challenged public-key encryption experts for decades how to analyse encrypted data without sacrificing confidentiality.
The company said that the breakthrough could strengthen cloud computing security, as it would enable a cloud computing vendor to "perform computations" on business data such as looking for sales patterns without exposing the original private data.
IBM researcher Craig Gentry formulated the solution, which is called "privacy homomorphism" or "fully homomorphic encryption". He was said to have used a mathematical object called an "ideal lattice" to do it.
IBM said the system could be used to identify spam in encrypted email, protect electronic medical records, and let users look at information from search engines without feeling their privacy was threatened.
"Fully homomorphic encryption is a bit like enabling a layperson to perform flawless neurosurgery while blindfolded, without later remembering the episode," claimed Charles Lickel, vice president of IBM Software Research in a statement.
"We believe this breakthrough will enable businesses to make more informed decisions, based on studied analysis, without compromising privacy," he added.
Click here to read how security is holding back cloud computing.
Sign up today and you will receive a free copy of our Future Focus 2026 report - the leading resource for IT decision-maker insight on priorities and investment areas in AI, security and more.
-
The identity recovery gap: confident on paper, exposed in practiceAI-accelerated attacks weaponize the IAM ecosystem, moving faster than defenders can respond — making identity recoverability a top priority in restoring data and AI trust.
-
Dynatrace acquires observability firm Arize in $915m dealNews The move will see Arize’s AI evaluation capabilities combined with Dynatrace’s production monitoring technology across the AI development lifecycle
-
OpenAI forges closer ties with IBM in enterprise pushNews The duo will combine OpenAI models and products with IBM Consulting expertise
-
CIOs and CTOs are making high-stakes decisions with incomplete information, IBM survey revealsNews Architecture, governance, and investment decisions control how fast organizations can move, what risks they can handle, and which opportunities are viable
-
Put AI to work for IT operationswhitepaper Reduce the cost and complexity of managing hybrid applications
-
AI in the retail industry is spreading beyond the IT departmentNews AI has become a strategic imperative for retailers, delivering marked productivity gains
-
Maximizing contact center operations with generative AI assistants backed by responsible AI principleswhitepaper Reduce the cost and complexity of managing hybrid applications
-
IBM just launched powerful new open source AI models – here’s what you need to knowNews Available under the Apache 2.0 license, IBM's Granite 3.0 models are trained on enterprise data and can out-perform the competition
-
Achieving business outcomes with generative AIWebinar Take your hybrid cloud journey to the next level with generative AI
-
Wimbledon’s new Catch Me Up AI feature promises to keep fans up to date at the tournament – after it irons out some of the wrinklesNews The latest feature to come out of IBM’s partnership with Wimbledon will keep fans engaged from the early stages right through to the final with dynamic player insights