Tokenization, when applied to data security, is the process of substituting a sensitive data element with a non-sensitive equivalent, referred to as a token, that has no intrinsic or exploitable …

Jul 25, 2024 · Tokenization in AI is used to break down data for easier pattern detection. Deep learning models trained on vast quantities of unstructured, unlabeled data are called …

Jul 23, 2025 · But it generally refers to the process of turning financial assets - such as bank deposits, stocks, bonds, funds and even real estate - into crypto assets. This means creating a …

In data security, tokenization is the process of converting sensitive data into a nonsensitive digital replacement, called a token, that maps back to the original. Tokenization can help protect …

Jul 9, 2025 · Data tokenization is a method of protecting sensitive information by replacing it with a non-sensitive equivalent — called a token — that has no exploitable meaning or value …

Mar 28, 2023 · Tokenization is defined as the process of hiding the contents of a dataset by replacing sensitive or private elements with a series of non-sensitive, randomly generated …

Apr 16, 2025 · Data tokenization as a broad term is the process of replacing raw data with a digital representation. In data security, tokenization replaces sensitive data with randomized, …