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The objective of AI projects is to predict outcomes to enhance decision-making; data collection is a by-product so that models can predict correctly. SecureAI enables this by connecting AI models to previously out-of-reach data to facilitate successful AI training and inference.
SecureAI is a backend to existing AI frameworks that connects to data sources to encrypt needed data and facilitates the AI training or inference but on fully encrypted data mapped to AES-256 for enterprise-grade security. Data is always encrypted during computation to preserve privacy and enable secure data sharing.
Successful AI requires access to the right data at the right time
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Secure AI will integrate into the leading AI frameworks such as:
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How it Works
Using AI frameworks in market today, a data scientist would write an AI algorithm that needs to be trained before it can be put into production.
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For training, models need large amount of diverse data to learn about inputs and outcomes to sharpen its predictive powers. SecureAI will encrypt data from disparate data sources, encrypt the data at source, and facilitate the AI training on the encrypted data. The data is never decrypted during computation.
The data scientist now has a fully trained AI model that can be used to make predictions
With SecureAI, organizations can now easily access more data for AI training and inference, while ensuring compliance with global regulations, protecting against threats, and building trust with their customers.
Value of CipherMode’s Secure AI
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The future is built on data. SecureAI will give you a competitive advantage in building your future.
The Three Components of Secure AI
This node sits on the data source and encrypts data that is used in computation.
CM client is the backend that integrates into leading AI frameworks so that data scientists do not need to learn a new tool. It makes cryptography transparent to the user. How simple!
The administrative console is a centralized dashboard to manage policies and user access.
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