Zama

Zama is a tool for working with fully homomorphic encryption (FHE), letting you run computations on encrypted data without decrypting it.

What it’s used for

• Processing sensitive data while keeping it encrypted end to end
• Building privacy-focused workflows for regulated industries
• Integrating encrypted computation into business applications

Who it’s for

• Developers and data scientists implementing privacy-preserving analytics
• Companies that need strong data confidentiality in production systems
• Teams in finance, healthcare, and the public sector

Implementation notes

• Requires basic cryptography knowledge and solid programming skills
• Integration can take time and typically involves careful study of the documentation
• FHE increases compute and resource usage, which can slow down processing
• Not a good fit if maximum performance is the top priority or if extra compute cost is unacceptable

The core capability is performing operations on encrypted data without exposing the underlying values.