We’re very excited to announce that CipherMode Labs was awarded the inaugural TROPT Privacy Tech Award given to leading privacy-tech startups!
We’re very excited to announce that CipherMode Labs was awarded the inaugural TROPT Privacy Tech Award given to leading privacy-tech startups! CipherMode was selected as one of eight winners and the only one to boast an open-source secure multiparty computation (SMPC) library that has been downloaded over 10,000 times.
This is a great validation of CipherMode’s direction, advancements in the field of privacy-enhancing technologies, and customer interest. Our aggressive roadmap will deliver on the promise of SMPC to be a world-changing technology in how data is accessed, shared, and used in a fully secure manner while enabling full data usability.
“This is an exciting award for CipherMode and further puts us into the category of privacy-enhancing technologies with real world applications. We’re grateful for TROPT for being included and look forward to showing the world what we can do over the coming years,” said Sadegh Riazi, co-founder and CEO of CipherMode.
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If you’ve ever watched a toddler with a toy attempt to share then you know how hard it is to teach and create a culture of sharing.
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.
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Learn about the importance of "data clean rooms" - a solution that allows for private data sharing and analysis - in this blog post. We discuss the trade-offs involved in choosing between generic third-party solutions and custom open-source options, and how open-source SMC frameworks provide building blocks for custom clean rooms. With open SMC technologies and the right team, any company can achieve a strategic advantage through proprietary, self-governed data analysis and sharing systems that move as fast as - or faster than - vendor options ever will. Join us in exploring the future of data privacy and innovation on companies' terms.
