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    TrustDecision ARGUS® Fraud Detection System

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    Deployed on AWS
    The real-time anti-fraud system uses big data, AI, hyper-converged computing, and time-series learning to monitor transaction risks in finance, payment, and Internet sectors. It analyzes user transaction patterns, device fingerprints, and risk profiles to provide early warnings and control for high-risk transactions in real time.

    Overview

    The real-time anti-fraud transaction system relies on technologies such as big data, artificial intelligence, hyper-converged computing, and time-sequence learning to conduct real-time monitoring of transaction risks faced in business scenarios in the fields of finance, payment, and the Internet. Based on the characteristics of the user's historical and current transaction behaviour, combined with the device fingerprint technology and risk profile data, to achieve effective early warning and control of real-time risky transactions.

    This product is recommended to be launched on either of these 2 T2 instance types: T2 instances are burstable performance types with a CPU credit system, ideal for variable workloads.

    • T2.large (2 vCPUs, 8 GiB RAM) suits lightweight web apps, dev/test environments, small databases and low-frequency batch jobs, offering lower cost for light, intermittent workloads.
    • T2.xlarge (4 vCPUs, 16 GiB RAM) works for medium-traffic web apps, multi-service deployment, growing databases and lightweight data analytics, delivering higher concurrency and memory for more demanding burst workloads.

    Highlights

    • Stability and Horizontal Scalability:AI-powered engine with <50ms latency for real-time decisioning at scale. Horizontal scaling across both software and hardware layers, TPS > 50,000
    • Persistent Device Intelligence:Unique device ID from 150+ attributes to detect tampering, spoofing, and emulator attacks

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    AmazonLinux 2023

    Deployed on AWS
    New

    Introducing multi-product solutions

    You can now purchase comprehensive solutions tailored to use cases and industries.

    Multi-product solutions

    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.
    Financing for AWS Marketplace purchases

    Pricing

    TrustDecision ARGUS® Fraud Detection System

     Info
    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    12-month contract (1)

     Info
    Dimension
    Description
    Cost/12 months
    Annual Billing
    This product adopts an annual billing model, where buyers pay the fee based on a 12-month service cycle to use the product.
    $1,000,000.00

    Vendor refund policy

    Refund Terms: This product does not support refund or subscription cancellation Support Contact: For product usage questions, contact us via email: lei.gao@tongdun.net  or phone: +86-15695889918 (Monday-Friday, 08:00-17:00 UTC+08:00).

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    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

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    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

    Version release notes

    FDS V7.4.0 Release Notes (The First Release Version)

    Additional details

    Usage instructions

    64-bit (x86) Amazon Machine Image (AMI) An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers where you can run applications and workloads, offering combinations of different CPU, memory, storage, and network resources. You can launch any number of instances from any number of different AMIs as needed. For usage instructions You can quickly launch an instance from the AMI and use our product services by following the instructions below. For detailed usage guidelines, please refer to:https://trust-decision2025.s3.us-east-1.amazonaws.com/Product+Launch.pdf  For reference when building the instance, please click the following video link: https://trust-decision2025.s3.us-east-1.amazonaws.com/Operation+video.mov  For reference when verifying the product service, please click the following video link: https://trust-decision2025.s3.us-east-1.amazonaws.com/QuickStart.mov 

    Support

    Vendor support

    Support Hours: Monday-Friday, 08:00-17:00 (UTC+08:00) Support Phone: 15695889918 Support Email: lei.gao@tongdun.net  Support Content: Provide product consultation and Q&A, operation process guidance, as well as technical support for system operation and maintenance.

    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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