An overview of Federated Learning techniques and their comparison to Secure Multiparty Computation (SMPC).

Learn about homomorphic encryption, how it compares to secure multi-party computation (SMPC), and its benefits and limitations.

Brands on both sides of the pond can look at Meta’s misstep and take the initiative to make sure they don’t follow suit.

Fully Homomorphic Encryption is a groundbreaking invention that enables computation on encrypted data without ever decrypting it.

We're excited to announce our rebrand to Pyte (“private byte”) and the launch of SecureMatch.

The only data collaboration solution that allows full computation on encrypted customer data without the need for decryption.