Sold by: DinoCloud
DinoShield is a Gen AI–powered fraud detection solution for e-commerce. Built on AWS, it analyzes transactions in real time to identify chargebacks, fake returns, and identity theft, helping merchants recover revenue and protect their customers.
Overview
DinoShield combines Generative AI with AWS-native machine learning services to deliver real-time, adaptive protection for online retailers. The system ingests transaction and behavioral data directly from checkout flows, processes them through an ML model hosted on Amazon SageMaker, and returns a fraud/no-fraud decision plus a configurable risk score in milliseconds.
The API-first design allows seamless integration into any e-commerce stack. Merchants can define custom business rules and decide whether to block, flag, or verify a transaction based on the risk score. Results are automatically aggregated into Amazon QuickSight dashboards, enabling teams to monitor fraud trends, analyze KPIs, and generate insights without deep technical expertise. With Amazon Q, business users can explore fraud patterns via natural language queries.
DinoShield adapts to each client: models are trained with historical transaction data, re-trained with analyst feedback, and can be deployed in less than four weeks. Optional modules include explainable AI to show which variables influenced predictions and Gen AI–based reporting for analyst summaries.
Highlights
- AWS-native fraud detection pipeline - Transaction data is scored in real time using custom ML models on Amazon SageMaker, with risk outputs delivered via API and full visualization in QuickSight.
- Adaptive, explainable AI - Models are trained with each merchant’s own data, continuously improve with feedback, and optionally expose the key variables behind each prediction for analyst transparency.
- Highlight 3: Rapid deployment & scalability - Semi-custom setup is live in 2-4 weeks, integrates easily with existing e-commerce systems, and scales across regions and markets with minimal adaptation.
Details
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Pricing
Custom pricing options
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Support
Vendor support
For more information, contact support@dinocloud.co .