When AI meets Tokenization, the integration of the two supercharges their implementations and applicability – and not to mention opportunities – exponentially.

In the case of vault-less tokenization, tokens are stored using an algorithm instead of a secure database to protect private data. The original sensitive information is typically not kept in a ...

VisiQuate, a leader in AI-powered revenue cycle management (RCM), today announced its acquisition of Etyon, a healthcare technology company recognized for its deep RCM machine learning, ...

Tokenization offers advantages over mainstream encryption, ... Secure Hash Algorithms (SHA) are used to protect data by creating a distinct and one-way representation of inputted data.

On the other hand, managing tokenization is a bigger burden than managing a cipher. The tokenization database, with full details, must be constantly secure and ready to respond to queries. In nominal ...

The encryption vs. tokenization battle sometimes seems as fierce as the war between Pepsi and Coke, or the Cubs versus the White Sox. A lot has been written recently about securing data in the ...

Tokenization can come in a number of formats and be driven by everyone from small crypto ... and protocols like Lofty AI can create algorithms that enable fractional ownership for investors ...

A platform, or tokenization system, is created to manage the tokenization process. Secure databases, encryption keys and algorithms for creating and managing tokens are frequently included in this ...