Tokenization replaces sensitive data, such as credit card numbers, Aadhaar numbers or PII information, with randomly generated tokens. This ensures that the actual data is never exposed, reducing the risk of data breaches and unauthorized access.

By tokenizing sensitive data, the attack surface is significantly reduced because the original data is not stored or exposed in most systems. Even if a breach occurs, the stolen tokens are of no use without access to the tokenization system.

DDM complements tokenization by allowing organizations to control the visibility of sensitive data in real-time. Only authorized users can see the actual data, while others see masked or obfuscated values. This helps protect data privacy and restrict access to sensitive information.

Tokenization and DDM assist organizations in complying with Data protection regulations such as GDPR, HIPAA, PCI DSS, and RBI, SEBI, IRDA Guidelines. These technologies help organizations meet requirements for Data protection, data privacy, and access controls.

Tokenization retains the format of the original data, which can be essential for applications that require data to remain in a specific format or structure.

Tokenization systems can scale to handle large volumes of sensitive data, making them suitable for organizations with diverse Data protection needs.

Tokenization can be applied to various data types and use cases, including databases, payment systems, and cloud services. This adaptability makes it efficient for securing data across different platforms.

DDM allows organizations to define granular access controls, ensuring that only authorized users see the actual data. This fine-grained control limits the risk of data exposure.

The security of tokenization relies on the protection of encryption keys and tokenization algorithms. Organizations can employ robust key management practices, including hardware security modules (HSMs), to safeguard encryption keys.

Tokenization and DDM solutions are often designed to have minimal impact on system performance. This ensures that Data protection measures do not compromise the speed and responsiveness of applications.

Tokenization and DDM solutions typically provide auditing and reporting capabilities, allowing organizations to track access to sensitive data and demonstrate compliance with Data protection regulations during audits.

Tokenization can be implemented in various ways to suit different use cases. Organizations can tokenize specific data elements or entire datasets, depending on their needs.

Many tokenization and DDM solutions are designed to be seamlessly integrated into existing applications and databases, reducing the complexity of implementation.