For most developers, fully homomorphic encryption (FHE) application development is uncharted territory. FHE allows you to compute on data without ever decrypting it, which means organizations can pool sensitive data to create smarter machine learning models or build cloud-based encrypted anomaly detection models without ever exposing data in the clear. In practice, building such applications asks you to deal with a host of parameters that aren’t relevant to traditional programming, including noise budgets, polynomial approximations, ciphertext packing, and parameter tradeoffs.