Pyte (fka CipherMode) launches SecureMatch, the only data collaboration solution that allows full computation on encrypted customer data without the need for decryption at any point in the data lifecycle.
Pyte (fka CipherMode) launches SecureMatch, the only data collaboration solution that allows full computation on encrypted customer data without the need for decryption at any point in the data lifecycle.
LOS ANGELES, May 11, 2023 (GLOBE NEWSWIRE) -- Pyte, a leading secure data collaboration software company, today announces the launch of SecureMatch, the only data collaboration solution that allows full computation on encrypted customer data without the need for decryption at any point in the data lifecycle. SecureMatch provides all the benefits of a clean room with a more elegant architecture, enabling a seamless zero-trust process and faster time to insight.
SecureMatch is an on-premise data collaboration solution that can determine match rates between two or more datasets without the need to move the data from the client’s server or cloud environments. This new approach to data collaboration resolves traditional issues with data sharing and allows marketers to adhere to industry regulations around privacy compliance.
"Current clean room and mar-tech collaboration infrastructures are not built for data collaboration in a way that always ensures privacy. Our data collaboration software is industry-first and enables our clients to have complete data sovereignty at all times," said Sadegh Riazi, Founder & CEO of Pyte. “Through the use of Pyte’s privacy-first solution, marketers can be confident that the audiences they are reaching are always private and 100% precisely defined."
SecureMatch enables marketers to match datasets with their data partners more securely than ever before without fear of data leakage, decryption, or inaccuracies due to noise added into the encryption process. The solution is powered by Pyte’s proprietary computation technology that preserves the confidentiality of data during all stages, even the computation itself. SecureMatch can be deployed anywhere, whether in a marketers’ cloud environment or on-premise. Marketers can use SecureMatch via the interface they are most comfortable with, through SecureMatch’s web UI, API, or CLI.
Key features of SecureMatch include:
A global Fortune 100 consumer goods company uses Pyte’s SecureMatch solution to evaluate potential data partners and understand how much their audiences overlap. Once data partners with large overlap percentages are selected, the consumer goods company enriched their 1st party customer data by adding in dozens more attributes, enabling the company to build granular audience segments.
“For marketing teams, making campaign decisions solely on the siloed data available inside their organizations can result in ineffective campaigns. Equally, trying to collect more customer data through external partnerships is fraught with security and compliance issues — even when using data collaboration platforms, such as clean rooms,” said Riazi. “Those risks and compromises are eliminated with Pyte’s SecureMatch software.”
For more information and to get started with SecureMatch, please contact hello@pyte.ai.
LOS ANGELES, May 11, 2023 (GLOBE NEWSWIRE) -- Pyte, a leading secure data collaboration software company, today announces the launch of SecureMatch, the only data collaboration solution that allows full computation on encrypted customer data without the need for decryption at any point in the data lifecycle. SecureMatch provides all the benefits of a clean room with a more elegant architecture, enabling a seamless zero-trust process and faster time to insight.
SecureMatch is an on-premise data collaboration solution that can determine match rates between two or more datasets without the need to move the data from the client’s server or cloud environments. This new approach to data collaboration resolves traditional issues with data sharing and allows marketers to adhere to industry regulations around privacy compliance.
"Current clean room and mar-tech collaboration infrastructures are not built for data collaboration in a way that always ensures privacy. Our data collaboration software is industry-first and enables our clients to have complete data sovereignty at all times," said Sadegh Riazi, Founder & CEO of Pyte. “Through the use of Pyte’s privacy-first solution, marketers can be confident that the audiences they are reaching are always private and 100% precisely defined."
SecureMatch enables marketers to match datasets with their data partners more securely than ever before without fear of data leakage, decryption, or inaccuracies due to noise added into the encryption process. The solution is powered by Pyte’s proprietary computation technology that preserves the confidentiality of data during all stages, even the computation itself. SecureMatch can be deployed anywhere, whether in a marketers’ cloud environment or on-premise. Marketers can use SecureMatch via the interface they are most comfortable with, through SecureMatch’s web UI, API, or CLI.
Key features of SecureMatch include:
A global Fortune 100 consumer goods company uses Pyte’s SecureMatch solution to evaluate potential data partners and understand how much their audiences overlap. Once data partners with large overlap percentages are selected, the consumer goods company enriched their 1st party customer data by adding in dozens more attributes, enabling the company to build granular audience segments.
“For marketing teams, making campaign decisions solely on the siloed data available inside their organizations can result in ineffective campaigns. Equally, trying to collect more customer data through external partnerships is fraught with security and compliance issues — even when using data collaboration platforms, such as clean rooms,” said Riazi. “Those risks and compromises are eliminated with Pyte’s SecureMatch software.”
For more information and to get started with SecureMatch, please contact hello@pyte.ai.
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.
