The Pyte blog

The latest news and expert advice on AI, data collaboration and privacy & security.
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General

Our latest funding milestone will allow Pyte to expand into highly regulated sectors like financial services, healthcare and insurance, aiming to democratize secure data utilization amidst stringent privacy regulations. 

Brynn Moynihan
June 12, 2024
Resources

The Pros and Cons of Federated Learning

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

Ilya Razenshteyn
June 13, 2023
Resources

Homomorphic Encryption: Universality at a Cost

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

June 1, 2023
General

What the Industry Can Learn from Meta's Latest GDPR Fine

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.

Sadegh Riazi
June 1, 2023
White Papers

HEAX: An Architecture for Computing on Encrypted Data

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

Sadegh Riazi
May 23, 2023
General

Introducing Pyte and SecureMatch: Privacy-First Data Collaboration is Here

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

Sadegh Riazi
May 11, 2023
Newsroom

Pyte Launches SecureMatch, First On-Premise Data Collaboration Software Designed For Secure Data-Driven Marketing

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

May 11, 2023
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