Homomorphic Encryption Services
Unlock the value of sensitive data without decryption to preserve privacy
Unlock the value of sensitive data without decryption to preserve privacy
Today’s business data is stored across hybrid multicloud environments, exposing it to various security and privacy risks. While encryption provides protection, the sensitive data typically must first be decrypted to access it for computing and business-critical operations. This opens the door to potential compromise of privacy and confidentiality controls. Until now, those vulnerabilities have been the cost of doing business in the cloud and with third parties.
An innovative technology, fully homomorphic encryption (FHE), can help you achieve zero trust by unlocking the value of your data on untrusted domains without needing to decrypt it.
Generate measurable economic benefits by allowing lines of business and third parties to perform big data analytics on encrypted data while maintaining privacy and compliance controls.
Process encrypted data in public and private clouds and third-party environments while maintaining confidentiality controls.
Use AI and machine learning to compute upon encrypted data without exposing sensitive information.
"A simplified path to FHE experimentation is critical to ushering in next-gen privacy controls."
Christopher M. Steffen, CISSP, CISA
Research Director
Enterprise Management Associates (EMA), Inc.
The old approach to data security won’t work in a future that features growing privacy regulation and increased data sharing in uncontrolled environments. Pioneered by IBM Research and built on over a decade of cryptography innovations, IBM Security Homomorphic Encryption Services is a first-of-its-kind security services for FHE.
Learn FHE concepts and develop on a scalable hosting environment on IBM Cloud to begin to build, deploy and run FHE-enabled applications, with our security specialists guiding you along the way.
Get started on your FHE journey without needing to set up a cloud environment to test and deploy your pilot applications, reducing complexity with IBM Security consulting and managed services.
While machine learning (ML) helps create predictive models for conditions ranging from financial transactions fraud to investment outcomes, often regulations and polices prevent organizations from sharing and mining sensitive data. FHE enables the computation of encrypted data with ML models without exposing the information.
Despite the efficiency of cloud in hosting workloads for large clinical trials, privacy risks and healthcare regulations often make it impractical for hospitals to transition to cloud. FHE can improve the acceptance of data-sharing protocols, increase sample sizes in clinical research and accelerate learning from real-world data.
Technology enables large-scale monitoring of how consumers search and access information, but privacy rights make it difficult for organizations to monetize that data. FHE makes it possible to gain insights on consumer behavior while concealing user queries and protecting the individual’s right to privacy.
Learn how to unlock the value of your sensitive data while maintaining privacy and compliance controls.
Introducing a first-of-its-kind security services solution for fully homomorphic encryption.
Protect your enterprise data across hybrid cloud environments, meet privacy regulations and simplify operational complexity.
Learn about the latest FHE developments by IBM Research.
Protect enterprise data and address regulatory compliance with data-centric security solutions and services.
Get started on your FHE journey with IBM Security