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 meaning or value. The token is a reference (i.e. identifier) that maps back to the sensitive data through a tokenization system.

Jul 25, 2024 · Tokenization is the process of creating a digital representation of a real thing. Tokenization can also be used to protect sensitive data or to efficiently process large amounts of data. A terracotta soldier figurine emerging from a digital tablet. The soldier looks digitized at it's base but becomes a solid form at it's top.

Nov 22, 2024 · Tokenization breaks text into smaller parts for easier machine analysis, helping machines understand human language. Tokenization, in the realm of Natural Language Processing (NLP) and machine learning, refers to the process of converting a sequence of text into smaller parts, known as tokens.

Dec 20, 2023 · At its heart, tokenization is the process of converting rights to an asset into a digital token on a blockchain. In simpler terms, it's about transforming assets into digital representations that...

Jul 16, 2024 · Tokenization is a fundamental process in Natural Language Processing (NLP) that involves breaking down a stream of text into smaller units called tokens. These tokens can range from individual characters to full words or phrases, depending on the level of granularity required.

Jan 27, 2025 · 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 sensitive information. For example, sensitive data can be mapped to a token and placed in a digital vault for secure storage. The token can then act as ...

May 15, 2024 · Tokenization (also known as data masking/encoding/anonymization) is the process of protecting sensitive data by replacing it with a unique identifier called a token. This token doesn’t hold any useful information by itself.

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 elements (called a token) such that the link between the token values and real values cannot be reverse-engineered.

Dec 3, 2024 · Tokenization of data safeguards credit card numbers and bank account numbers in a virtual vault, so organizations can transmit data via wireless networks safely. For tokenization to be effective, organizations must use a payment gateway to safely store sensitive data.

Tokenization is the process of replacing sensitive data with unique identification symbols that retain all the essential information about the data without compromising its security.