Improving a consumer's trust level through

Tokenization

Realizing significant advantages in IT efficiency, costs and flexibility

Tokenization involves substituting sensitive cardholder information with tokens that contain no cardholder or card data and are of no value to criminals. Tokenization improves the consumer’s level of trust and helps issuers avoid the expenses associated with notification, loss reimbursement, and legal action. Furthermore, by removing the need to store actual card details, tokenization can reduce the costs and hours associated with compliance requirements.

By eliminating the need to store sensitive information, a successful tokenization strategy could enable merchants to shift many business processes and IT systems to the cloud, realizing significant advantages in IT efficiency, costs and flexibility provided in that environment.

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Our portfolio of services

  • Consult
    • Evaluate business drivers and identify appropriate business use cases to implement tokenization
    • Gap Analysis on compatibility of new products/channels
    • Strategize on roadmap ahead and provide a SME-driven domain edge to thought process
    • Review the use cases to identify gaps in implementation
  • Develop
    • Enable architecting, design and development of tokenization for new products/channels from ground up
    • End-to-End Token Life Cycle Management
    • Design core Tokenization Components like Token Service Interface, Token Vaults, Token Generator
    • Actuate Tokenization business cases like in App payments with Apple Pay
  • Buy/Integrate
    • Evaluate, Implement, Customize, and Integrate a 3rd party TSP solution with current system
    • Build, Test, Implement and Migrate to the composite solution with apt scalability
    • Provide Post-deployment support like Token service interfacing, support for issuers in implementing Tokenization and support
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RS Tokenization Knowledge Framework
(RS-TKF)

  • RS-TKF is a Proprietary Tokenization Knowledge Framework based on the EMVCo specification and enriched with best practices knowledge we have gained in dozens of such implementations worldwide. It consists of validators that serve key reference points for the developed solution and accelerators that improve time to market.

  • The content of RS-TKF is based on the following:
    • 40+ Use cases
    • Message flow and structure
    • Sequence diagrams
    • Component diagrams
    • Internal and external APIs and their associated parameters
    • Class diagrams
    • Integration diagrams
    • Known-error database and FAQs related to tokenization implementation related issues

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