Tokenize individual data in real time, for operations; or in batch, for bulk.
Safeguard data at the business entity level, with individual "micro-vaults".
Assure GDPR / PCI DSS compliance, by adapting to change on the fly.
Real-time data tokenization tools, based on a data product approach, provide the most secure, operationally efficient, and scalable solution for data tokenization. They deliver a central mechanism for tokenizing and detokenizing data, for both operational and analytical workloads.
Data Product Platform uniquely stores the sensitive data, and corresponding tokens, for each business entity (say, customer) in its own Micro-Database™. Each Micro-Database functions as a "micro-vault" for each customer, individually encrypted with its own 256-bit encryption key.
So, instead of maintaining a single, centralized “mega-vault” for 10 million customers, the platform manages 10 million micro-vaults, one for each customer. This is data security at its most granular level.
With real-time data tokenization tools, enterprises benefit from:
Data tokenization tools are especially relevant today, because the majority of
data breaches are caused by insiders, whether accidentally or intentionally.
Recent reports confirm that:
Encryption alters sensitive data mathematically, however the original pattern remains within the new code, meaning that it can be decrypted. The ability to reverse encrypted data is its Achilles Heel. Although complex algorithms do a great job encrypting sensitive data, ultimately all encrypted data can be reversed, and revealed.
Tokenization can’t be reversed. Data tokenization is the process of permanently substituting sensitive data with random, meaningless placeholders, instead of relying on algorithms, which can ultimately be broken. Data tokenization tools securely stores the original data separately, so even if hackers manage to get to your tokens, your sensitive data is not compromised.
With real-time data tokenization tools, you can:
Continually ingest clean, up-to-date data, from multiple source systems.
Identify, unify, and transform data into individual Micro-Databases.
Ensure mDB data freshness, without impacting underlying systems.
Have it your way, by tokenizing for a specific data product (business entity), for a specific transaction; or in batch, for bulk workloads.
Protect each and every mDB, with its own encryption key and access controls.
Optimize tokenization for operational and analytical systems.
Use our APIs for tokenization and detokenization.
Assure ACID compliance for token management.
Tokenize in milliseconds, no matter how tables are being joined.
Together with data masking, data tokenization tools enables enterprises to comply with increasingly stringent compliance laws, such as the Payment Card Industry Data Security Standard (PCI DSS).
Any business that accepts, transmits, or stores credit card data is required to be PCI DSS-compliant, to protect against fraud and data breaches. Non-compliance could lead to severe penalties and fines, as well as brand damage.
The combination of tokenization tools and data masking tools supports PCI DSS compliance by reducing the amount of PAN (Primary Account Number) data stored in an enterprise’s databases. With a reduced data footprint, enterprises have fewer requirements to contend with, reducing compliance risk, and speeding up audits.
Get a live demo of the K2View platform to assess its fit for your use cases.
Experience the power and flexibility of the K2View platform with a 30-day trial.
Experience the power and flexibility of the K2View platform with a 30-day trial.
