Replacing live data with tokens in systems is intended to minimize exposure of sensitive data to those applications, stores, people and processes, reducing risk of compromise or accidental exposure and unauthorized access to sensitive data.
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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.
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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.
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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 outside of its intended system.
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Tokenization is a data security technique that replaces sensitive information—such as personally identifiable information (PII), payment card numbers, or health records—with a non-sensitive placeholder called a token.
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A tokenization system links the original data to a token but does not provide any way to decipher the token and reveal the original data. This is in contrast to encryption systems, which allow data to be deciphered using a secret key.
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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, nonsensitive substitutes, called tokens, that have no traceable relationship back to the original data.
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What is Tokenization? Tokenization is a non-algorithmic approach to data obfuscation that swaps sensitive data for tokens. For example, if you tokenize a customer’s name, like “John”, it gets replaced by an obfuscated (or tokenized) string like “A12KTX”.
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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.
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Data tokenization is the process of protecting sensitive data by replacing it with unique identification symbols, known as tokens. These tokens have no meaningful value on their own and cannot be reverse-engineered to reveal the original confidential data.
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In the world of data security and payment processing, tokenization is the practice of protecting sensitive data by replacing it with a token — a unique and nonsensitive string of symbols randomly generated by an algorithm that has no meaning or exploitable value.
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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. These tokens can be as small as characters or as long as words.
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Tokenization is the process of converting sensitive data into a non-sensitive equivalent, referred to as a token. This token can be used in place of the original data without compromising its security.
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What is data tokenization, and how does it compare to data encryption? The process of turning sensitive data into a token or distinctive identifier while maintaining its value and link to...
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Data tokenization is a technique that has gained significant attention as a way to enhance data security and privacy. Similar to data masking, data tokenization serves as a technique for anonymizing data by obscuring sensitive information, making it unusable for potential attackers.
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Tokenization substitutes sensitive data with surrogate values called tokens, which can then be used to represent the original (or raw) sensitive value. It is sometimes referred to as...
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Data tokenization is a data protection method that replaces sensitive information with a unique, non-sensitive substitute known as a token. The token has no meaningful value or relation to the original data but mimics its format to maintain functionality in databases and applications.
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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. It just points to the original data, which is safely stored elsewhere.
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Data tokenization is a method of data protection that involves replacing sensitive data with a unique identifier or "token". This token acts as a reference to the original data without carrying any sensitive information.
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Tokenization, however, allows data to be transferred among brokers with the click of a button. It makes it simpler for investors to shop around and switch between brokers for the best price. Tokenization does not cut out all middlemen, but it is reshaping the financial industry and reducing the need for certain roles.
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