Homomorphic encryption allows computation over encrypted data without first decrypting it, with partial schemes (additive or multiplicative) and fully homomorphic schemes (arbitrary computation). The report surveys current performance trade-offs and use cases (cloud analytics on sensitive data, secure ML inference).
This control maps to 1 controls across 1 other frameworks. If you already hold one of them, the evidence you collected for it is the starting point here rather than new work.
Every mapping shown was judged rather than inferred from wording similarity, and the ones that failed review are published too. See the coverage reports and what was rejected.
The graph holds this control, the 1 it maps to, and the evidence behind each claim, over MCP and REST.