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Honeypotz Inc
New Confidential Machine Learning AISTUDIO FEDERATED Exits Beta 3 months
Honeypotz Inc announced today that their latest Confidential Federated Machine Learning AISTUDIO FEDERATED is exiting beta. New customers can sign up for the full version of the software as of Three months.
Provided by Honeypotz Inc
Data Scientists, CIOs, Data Engineers, Enterprise organizations who need Confidential Federated Machine Learning have a new option designed to meet their needs.
Honeypotz Inc has unveiled AISTUDIO FEDERATED - a Confidential Federated Machine Learning designed specifically for Data Scientists, CIOs, Data Engineers, Enterprise organizations. Interested customers are invited to sign up on the website:
https://signup.aistudio.ml
AISTUDIO FEDERATED has many unique benefits for customers, including:
Secret computing, Privacy-preserving multi-party framework, fully homomorphic encryption, open source AI tools, multi-cloud, any infrastructure and any scale, self-hosted or cloud. - perform computational analysis and machine learning on encrypted data. Provide access to algorithms without revealing secrets.
400+ data source integration, best AI/ML tools, open source packages, Enterprise level SECURITY, Federated Machine Learning - Vendor agnostic without lockup, access any siloed data and scale MLops. Open source AI tools.
Launch MLops in minutes not data, sensitive data protection, Differential Privacy, Governance, Compliance, Auditability - Role based access control, SSO for Enterprise clients. Highest security standards. Zero trust environment.
Vladimir Lialine, Founder of Honeypotz Inc had this to say about the end of the beta and next steps for the company:
"Protecting your customers sensitive data has tremendous benefits for any business in any industry. Be confident in your Data Privacy. "
For those Data Scientists, CIOs, Data Engineers, Enterprise organizations who would like more information, a full rundown of all the features, benefits and functionality can be found on the company website,
https://aistudio.ml
Confidential Federated Machine Learning allows multiple parties to perform data analysis and machine learning computations without knowing the exact content of the data in a zero trust environment. There a few different strategies to develop such a complex solution. Fully homomorphic encryption, secret computing, Differential Privacy,
sharding of secret encryption keys are some of the approaches available on the platform. Depending on the requirements for speed and level of confidentiality clients are able to generate the most appropriate tactics.
Honeypotz Inc
8 The Green STE R, Dover, DE 19901, United States