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MastercardPatent grant

Mastercard was granted a patent for assessing payment-tokenization risk.

Source: Autobound Signal API · 113 signals tracked for Mastercard · updated

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What happened

In October 2026 Mastercard patented a method for evaluating tokenization requests before approving card use with a particular merchant in digital payment systems.

Source

Abstract

Methods and systems for determining risk associated with tokenization of payment cards are disclosed. The method performed by a server system includes receiving a tokenization request message requesting for a tokenization of a payment card of a cardholder for a particular merchant from a token requester. The tokenization request message includes card credential information. Further, the method includes accessing a cardholder-token feature set corresponding to the cardholder and a token requester feature set corresponding to the token requester from a database associated with the server system based, at least in part, on the card credential information. Furthermore, the method includes generating, by a Machine Learning (ML) model associated with the server system, a risk score indicating a risk corresponding to a transaction associated with the tokenization request message based, at least in part, on the cardholder-token feature set, the token requester feature set, and scoring criteria.

patents.google.com/patent/US12775952Read the full source

Extracted by Autobound

From the Signal API record
Signal
Patent grant

What this signalsA new patent often shows where a company is putting its R&D budget.

Grant date
Oct 27, 2026
Inventors
3
Tech area
business methods / CRM / fintech
Patent number
US12775952

The full record

From the Signal API record

People

  • Sonia GuptaInventor
  • Nikhil TumbdeInventor
  • Siddhartha AsthanaInventor

Details

Primary CPC class
G06Q 20/4016 (Data processing systems for administrative, commercial, financial, managerial or supervisory purposes)
USPTO assignee
Mastercard international incorporated
What the invention does
A server compares cardholder and token-requester information to judge whether turning a payment card into a digital token is safe.

Topics and mentions

Tags

  • Intellectual Property
  • Research & Development
  • Financial Transactions
  • Fraud Protection
  • Risk

Technologies named

  • payment tokenization
  • fraud risk assessment
  • digital payments
  • card security

Extraction

Detected
Oct 30, 2026
signal_type
patents-company
signal_subtype
patentGrant

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The API returns more than this page shows

This page shows a preview. The full patents-company record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.

Company

  • linkedin_urlValue in the API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
Show the full JSONThe record on this page and the API request

GET /v1/signals/efacd6d2-354d-5e85-9f45-310a13b21017 returns this record as JSON. POST /v1/companies/enrich returns every signal for mastercard.com.

{
  "signal_id": "efacd6d2-354d-5e85-9f45-310a13b21017",
  "signal_type": "patents-company",
  "signal_subtype": "patentGrant",
  "detected_at": "2026-10-30T00:37:28+00:00",
  "company": {
    "name": "Mastercard",
    "domain": "mastercard.com"
  },
  "data": {
    "cpc": [
      {
        "code": "G06Q 20/4016",
        "label": "Data processing systems for administrative, commercial, financial, managerial or supervisory purposes"
      },
      {
        "code": "G06Q 20/3825",
        "label": "Data processing systems for administrative, commercial, financial, managerial or supervisory purposes"
      }
    ],
    "tags": [
      "Intellectual Property",
      "Research & Development",
      "Financial Transactions",
      "Fraud Protection",
      "Risk"
    ],
    "detail": "In October 2026 Mastercard patented a method for evaluating tokenization requests before approving card use with a particular merchant in digital payment systems.",
    "summary": "Mastercard was granted a patent for assessing payment-tokenization risk.",
    "event_at": "2026-10-27",
    "inventors": [
      {
        "name": "Sonia Gupta",
        "status": "unresolved",
        "is_primary": true
      },
      {
        "name": "Nikhil Tumbde",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/nikhilt97"
      },
      {
        "name": "Siddhartha Asthana",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/siddasthana"
      }
    ],
    "tech_area": "business methods / CRM / fintech",
    "event_kind": "grant_date",
    "grant_date": "2026-10-27",
    "source_url": "https://patents.google.com/patent/US12775952",
    "cpc_primary": {
      "code": "G06Q 20/4016",
      "label": "Data processing systems for administrative, commercial, financial, managerial or supervisory purposes"
    },
    "patent_title": "Methods and systems for determining risk associated with tokenization of payment cards",
    "patent_number": "US12775952",
    "uspto_assignee": "MASTERCARD INTERNATIONAL INCORPORATED",
    "patent_abstract": "Methods and systems for determining risk associated with tokenization of payment cards are disclosed. The method performed by a server system includes receiving a tokenization request message requesting for a tokenization of a payment card of a cardholder for a particular merchant from a token requester. The tokenization request message includes card credential information. Further, the method includes accessing a cardholder-token feature set corresponding to the cardholder and a token requester feature set corresponding to the token requester from a database associated with the server system based, at least in part, on the card credential information. Furthermore, the method includes generating, by a Machine Learning (ML) model associated with the server system, a risk score indicating a risk corresponding to a transaction associated with the tokenization request message based, at least in part, on the cardholder-token feature set, the token requester feature set, and scoring criteria.",
    "precision_class": "structural",
    "invention_explanation": "A server compares cardholder and token-requester information to judge whether turning a payment card into a digital token is safe.",
    "technologies_mentioned": [
      "payment tokenization",
      "fraud risk assessment",
      "digital payments",
      "card security"
    ]
  }
}

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