Confidential Computing Solutions
Even secured databases need to store data unencrypted and exposed in memory. Anjuna assures that both the database itself and its data operate within the secure confines of a confidential cloud environment. Cryptographically and physically isolating data from malicious processes and bad actors virtually eliminate the chance of a data breach or exfiltration. Enterprises can protect their data in use, at rest, and in transit with a single approach. More importantly, Anjuna protection assures that IT insiders are never over-exposed to data they should not see — simplifying compliance efforts. Anjuna® makes it simple for enterprises to implement Confidential Computing by allowing applications to operate in complete privacy and isolation, instantly and without modification. Anjuna Confidential Computing software supports custom and legacy applications — even packaged software such as databases and machine learning systems. Both on-site and in the cloud, Anjuna’s broad support provides the strongest and most uniform data security across AWS Nitro, Azure, AMD SEV, Intel SGX, and other technologies.
Use Cases for Confidential Computing
Database Protection
Even secured databases need to store data unencrypted and exposed in memory. Anjuna assures that both the database itself and its data operate within the secure confines of a confidential cloud environment. Cryptographically and physically isolating data from malicious processes and bad actors virtually eliminate the chance of a data breach or exfiltration. Enterprises can protect their data in use, at rest, and in transit with a single approach. More importantly, Anjuna protection assures that IT insiders are never over-exposed to data they should not see — simplifying compliance efforts.
Multi-Party Computation (MPC)
Anjuna’s Confidential Computing software allows two or more parties to share data, code, and algorithms without leaking their private data to one another. This is especially useful in such examples where the parties would like to perform computation together such as calculating credit risk scores or analyzing private health care data to develop machine learning and AI models. Data can be simply shared for targeted analysis and a shared output, but each party’s sensitive data is never exposed or put at risk.Original Source Link: https://www.anjuna.io/confidential-computing-solutions-anjuna-security
