The Pyte blog

The latest news and expert advice on AI, automation, and customer service
Search by tag
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Homomorphic encryption (HE) is a privacy technology that enables computation on encrypted data. This post covers the different types of HE, compares HE to secure multi-party computation (SMPC), and discusses the benefits and limitations of HE. The post also provides guidance on when to consider using HE for a specific use case.

Ilia IIiashenko
April 21, 2023
Read more

Tropt Award

We’re very excited to announce that CipherMode Labs was awarded the inaugural TROPT Privacy Tech Award given to leading privacy-tech startups!

Sadegh Riazi
June 29, 2022

CipherMode Announcement Coming Out of Stealth Mode

CipherMode officially comes out of stealth mode today! This marks the beginning of a long journey in which we strive to fundamentally change how data is being shared and consumed in data-driven projects.

Sadegh Riazi
May 18, 2022

CipherMode Labs Announces $6.7M in Funding and Launches CipherCore

CipherMode Labs introduces a first-of-its-kind platform for building customized applications that can process encrypted data without decrypting the data first.

Sadegh Riazi
May 10, 2022
White Papers

HEAX: An Architecture for Computing on Encrypted Data

With the rapid increase in cloud computing, concerns surrounding data privacy, security, and confidentiality also have been increased significantly. Not only cloud providers are susceptible to internal and external hacks, but also in some scenarios, data owners cannot outsource the computation due to privacy laws such as GDPR, HIPAA, or CCPA. Fully Homomorphic Encryption (FHE) is a groundbreaking invention in cryptography that, unlike traditional cryptosystems, enables computation on encrypted data without ever decrypting it.

Sadegh Riazi
March 16, 2020
No result found.