Deployed on AWS
Financial Transaction Fraud Detection is a state-of-art ML solution which could detect a potential fraudulent or a high risk transaction.
Overview
The Financial Transaction Fraud Detection System is a machine learning-based solution designed to protect financial integrity and security by identifying suspicious transactions. By analyzing transaction data, this system can recognize potential fraudulent activities and flag them for further investigation. This proactive approach helps mitigate the risks associated with financial fraud, ensuring the safety of customers and businesses alike. With its advanced analytics capabilities, the system adapts to evolving patterns and trends, maintaining a robust defense against fraudulent transactions. This solution provides an essential layer of security in today's fast-paced financial landscape.
Highlights
- This solution safeguards businesses and customers by identifying and flagging suspicious transactions in real-time. Whether it's detecting unauthorized credit card usage, monitoring large-scale transactions for money laundering, or uncovering insider trading activities, this system ensures financial integrity and security.
- The applications for this solution span banking, insurance, e-commerce, investment firms, and even government sectors. From securing online transactions to preventing insurance fraud and safeguarding investment portfolios, this system's machine learning capabilities bolster financial integrity in an increasingly digital world.
- Need more machine learning, deep learning, NLP, and Quantum Computing solutions. Reach out to us at Harman DTS.
Details
Delivery method
Latest version
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.m5.large Inference (Batch) Recommended | Model inference on the ml.m5.large instance type, batch mode | $100.00 |
ml.t2.medium Inference (Real-Time) Recommended | Model inference on the ml.t2.medium instance type, real-time mode | $5.00 |
ml.m4.4xlarge Inference (Batch) | Model inference on the ml.m4.4xlarge instance type, batch mode | $100.00 |
ml.m5.4xlarge Inference (Batch) | Model inference on the ml.m5.4xlarge instance type, batch mode | $100.00 |
ml.m4.16xlarge Inference (Batch) | Model inference on the ml.m4.16xlarge instance type, batch mode | $100.00 |
ml.m5.2xlarge Inference (Batch) | Model inference on the ml.m5.2xlarge instance type, batch mode | $100.00 |
ml.p3.16xlarge Inference (Batch) | Model inference on the ml.p3.16xlarge instance type, batch mode | $100.00 |
ml.m4.2xlarge Inference (Batch) | Model inference on the ml.m4.2xlarge instance type, batch mode | $100.00 |
ml.c5.2xlarge Inference (Batch) | Model inference on the ml.c5.2xlarge instance type, batch mode | $100.00 |
ml.p3.2xlarge Inference (Batch) | Model inference on the ml.p3.2xlarge instance type, batch mode | $100.00 |
Vendor refund policy
We do not provide any usage-related refunds at this time.
Legal
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Delivery details
Amazon SageMaker model
An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
Deploy the model on Amazon SageMaker AI using the following options:
Version release notes
Bug fixes and feature updates
Additional details
Inputs
- Summary
Model input is a json object containing transaction related attributes
- Input MIME type
- application/json
https://github.com/HDTS-user/Financial-Transaction-Fraud-Detection/tree/main/input
https://github.com/HDTS-user/Financial-Transaction-Fraud-Detection/tree/main/input
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
type | Type of transaction | Type: Categorical
Allowed values: CASH-IN, CASH-OUT, DEBIT, PAYMENT, TRANSFER | Yes |
amount | the transaction amount in USD | Type: Continuous | Yes |
oldbalanceOrg | Initial balance in sender's account prior to transaction | Type: Continuous | Yes |
newbalanceOrig | Balance in sender's account after the transaction is processed | Type: Continuous | Yes |
oldbalanceDest | Initial balance in receiver's account prior to transaction | Type: Continuous | Yes |
newbalanceDest | Balance in receiver's account after the transaction is processed | Type: Continuous | Yes |
Resources
Vendor resources
Support
Vendor support
Business hours email support marketplaceSupp@harman.comÂ
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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