We're excited to announce our rebrand to Pyte (“private byte”) and the launch of SecureMatch. Our secure data collaboration software.
We're excited to announce our rebrand to Pyte (“private byte”) and the launch of SecureMatch. Our secure data collaboration software.
We're excited to announce our rebrand to Pyte (“private byte”) and the launch of SecureMatch. Our secure data collaboration software.
We're excited to announce our rebrand to Pyte (“private byte”) and the launch of SecureMatch. Our secure data collaboration software.
Pyte’s mission is to enable data-driven partnerships in a data-first world. We chose the name Pyte to signify our commitment to keeping data private and secure. SecureMatch is our first enterprise product, purpose-built to help marketers collaborate as data privacy laws and consumer expectations evolve.
For years, Pyte has been working behind the scenes to enable data-driven partnerships between some of the world's largest companies. We found that companies were eager to collaborate by sharing data, but privacy, security, and control concerns were barriers. We built SecureMatch to solve this.
SecureMatch is the first completely secure data collaboration software solution. Data is encrypted end-to-end, at-rest and in-transit, so it's never exposed. Companies maintain full control and oversight over their data through built-in access controls and workflow approvals.
With SecureMatch, companies can now:
We make data collaboration secure, precise, and productive. SecureMatch is used by leading global CPG, retail, and experience companies to drive new partnerships, growth opportunities, and a better customer experience.
The new Pyte and SecureMatch are committed to building the foundation for secure data sharing in the modern enterprise. We can't wait to enable more powerful partnerships and help companies realize the full potential of their data.
Learn more at pyte.ai and request a SecureMatch demo today! We're just getting started, and the future of secure data collaboration is bright.
CipherCore introduces a new way of accessing and using data in which data remains confidential and allows for a robust and secure collaboration between many data owners, without disclosing their data to each other.
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.
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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.
