In times of relentless cyberattacks and rampant online fraud, data tokenization is a secure and efficient way to protect sensitive data, allowing organizations to minimizStringent data privacy regulations, the risk of data breaches, and the migration of databases to the public cloud are driving many organizations to implement database encryption. Though most databases offer integrated encryption capabilities, encryption keys must be stored in highly secure HSMs and separately from the data, to align with security best practices and to comply with data security regulations such as the GDPR. Secure key storage is critical, as is an enterprise-scale solution to manage the key lifecycle, access policies, and auditing across an ever-expanding hybrid and multicloud infrastructure. e impact of data breaches, comply with data laws and regulations, and safely work with data.

Data tokenization, also known as Format-Preserving Encryption (FPE), replaces sensitive data sets like PANs, PHI, and PII with surrogate values called tokens. These tokens retain the same format as the original dataset but have no intrinsic value. This approach preserves data integrity and structure while anonymizing and safeguarding it against unauthorized access.