Project AURIONAI Use-Cases Research & Innovation
tabular

Decision Intelligence Pro

Mastercard card fraud model scoring each transaction in about 50 ms; claims average 20% detection uplift, up to 300%.

Mastercard
Levelmodel
Classtabular
Parametersnot in the notes
Contextnot in the notes
ReleasedFeb 2024
Opennessproprietary
Runs onnot in the notes
Statusnot in the notes

Industry Use Cases

R&D Topics

Deployments

Mastercard
Mastercard issuersproductionglobalFeb 2024

Claimed average 20% detection uplift, up to 300%

Fraud detectioncompany statementcdomagazine.tech
Where this comes from
From G13, the deployment rows of T08 to T10, and the Indonesian-language search of 11 October 2026. An outcome claim is the organisation's own unless the evidence type says independent report.

Identity

Developer
Mastercard
Family
not in the notes
Released
Feb 2024 sourcesnotes
Weights published
–
Record checked
10 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.

Architecture and Size

Architecture
not in the notes Proprietary generative AI; in-house RNN and transformer models referenced; trained on about 125 billion transactions per year
Total parameters
– sources
Active parameters
–
Checkpoint parameters
–
Context length
not in the notes
Input
not in the notes
Output
not in the notes
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).

Openness and Access

Openness
proprietary
Licence
Proprietary sources
Access routes
not in the notes
Where this comes from
The licence file governs over registry tags and aggregator labels.

Deployment

Runs on
not in the notes
Footprint
not in the notes
Runtimes
not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.

Indonesia

Indonesian support
not stated
Regional languages
not in the notes
Jakarta hosting
unknown
Languages
not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.

Benchmark Results

The notes record no benchmark result for this model.

Lineage

The notes record no lineage for this model.

Sources

  1. Mastercard Launches Decision Intelligence Pro, New Generative AI Model for Fraud Detection cdomagazine.tech https://www.cdomagazine.tech/aiml/mastercard-launches-decision-intelligence-pro-new-generative-ai-model-for-fraud-detection

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Decision Intelligence Pro", https://aurion.semai.id/models/mastercard-decision-intelligence-pro/, records of October 2026.