Real-Time Tokenization Architecture for Synchronized Cloud Access
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Solution Overview
Problem
Existing systems face inefficiencies and complexities in accessing and synchronizing tokenized data across on-premises and off-premises systems, particularly when real-time tokenization is required, leading to delays and security challenges.
Innovation Solution
A system comprising a real-time tokenization server and batch tokenization server, with a token database in a public cloud, enabling real-time and batch tokenization, and a secure API for off-premises access, ensuring synchronized and coherent token databases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If real-time tokenization is implemented for off-premises systems, then data access speed and system responsiveness are improved, but system complexity and synchronization challenges increase
Solution Approach 1:
The system divides tokenization operations into two distinct segments: real-time tokenization for immediate data access needs and batch tokenization for bulk data processing. This segmentation allows each component to be optimized independently, reducing overall system complexity while maintaining high-speed access where required.
Solution Approach 2:
An intermediary synchronization mechanism is introduced between on-premises and off-premises token databases. This mediator handles data coherence automatically, allowing fast off-premises access without requiring complex real-time communication protocols, thus improving speed while managing complexity.
2Stability of the object's composition
If token databases are synchronized across on-premises and off-premises systems, then data coherence is improved, but access delays and synchronization overhead increase
Solution Approach 1:
The system performs preliminary tokenization actions in batch mode before they are needed in real-time operations. By pre-processing bulk tokenization tasks and storing results in both on-premises and off-premises databases in advance, the system ensures data coherence is established beforehand, eliminating the need for time-consuming real-time synchronization during critical access operations.
Data Source
AI summary
Computer-implemented systems and methods for tokenization. The system includes a network, at least one token database coupled to the network, and a real-time tokenization server coupled to the at least one token database via the network. The server is configured to receive a request in real-time, determine one or more payload to be tokenized, and transmit the one or more payload to the at least one token database for tokenization. The at least one token database is configured to tokenize the one or more payload to generate one or more tokens and store an association between each of the one or more payload and respective one or more tokens along with a timestamp. The real-time tokenization server is further configured to receive at least one token from the token database and return the at least one token in response to the request.