Sold by: Fraud.netÂ
Transaction AI is a high-performance transaction monitoring, fraud prevention, and revenue enhancement platform for financial services and digital commerce companies.
Overview
Transaction AI is a high-performance transaction monitoring, fraud prevention, and revenue enhancement platform for financial services and digital commerce companies. It is unique in the market today and only possible by combining the significant serverless, cloud infrastructure capabilities of AWS with the deep experience, proprietary data, modular architecture, and highly-extensible ecosystem provided by Fraud.net.
Transaction AI can detect over 600 fraud vectors, analyzing trillions of identity and behavioral elements, patterns, and connections, all in milliseconds. In addition, the Fraud.net risk intelligence layer on AWS infrastructure and services creates a formidable defense against fraudulent actors - whether outsiders, insiders, or customers.
Fraud.net makes AWS clients safer, smarter, and more profitable. Our AWS-cloud-born fraud management ecosystem enables companies to quickly disrupt hundreds of fraud and AML vectors while improving transaction approval rates to over 99%.
Our modular architecture enables us to uniquely offer 3 options to your enterprise:
- Fully Orchestrated Solution Set, specifically designed for your unique business,
- Augment Incumbent Solutions, transforming legacy systems into modern, AI-infused platforms, or
- Targeted Gap Solution, implemented quickly, stopping specific new forms of fraud before they take hold.
QUESTIONS or REQUESTS for custom orders through private offers? Please contact us directly at sales+aws@fraud.netÂ
Highlights
- Unleash Growth with More Approvals - Reach transaction approval rates of 98%+. Analyze the trillions of identity elements and relationships, and distill the analysis into a high-accuracy, actionable recommendation.
- 8-hour Integration & Day 1 Value - We meet you where you are, connecting with existing data & systems. Improve fraud rates, decision-making, workflows, and profitability the moment you go live.
- Future-proof your Fraud Prevention - Our Appstore enables you to leverage 50+ curated vendors in line to automate your decisions, verifications, challenges, and workflows.
Details
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Delivery method
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 the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months | Overage cost |
|---|---|---|---|
Transaction AI | Transaction monitoring for fraud and AML - up to 500,000 transactions | $10,000.00 |
Vendor refund policy
Refunds available as expressly provided for under warranties and intellectual property indemnity for the applicable Fraud.net Product.
Custom pricing options
Request a private offer to receive a custom quote.
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)Â .
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.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
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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Ease of use
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Positive reviews
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AI generated from product descriptions
Fraud Detection Capability
Capable of detecting over 600 fraud vectors by analyzing trillions of identity and behavioral elements, patterns, and connections in milliseconds
Machine Learning Architecture
Utilizes advanced AI and machine learning algorithms for transaction monitoring and fraud prevention across digital commerce platforms
Risk Intelligence Layer
Provides a comprehensive risk intelligence infrastructure that creates multi-layered defense against fraudulent actors including outsiders, insiders, and customers
Modular Solution Design
Offers flexible deployment options including fully orchestrated solution, legacy system augmentation, and targeted gap solution implementations
Cloud Infrastructure Integration
Leverages serverless cloud infrastructure capabilities to enable high-performance transaction monitoring and analysis
Identity Verification
Advanced machine learning algorithms for real-time digital identity authentication and fraud detection
Transaction Risk Assessment
Instant decision-making system for evaluating transaction trustworthiness across multiple digital commerce interactions
Fraud Prevention Mechanism
Integrated multi-layered protection against account takeovers, fake accounts, and fraudulent transaction attempts
Payment Optimization Technology
Intelligent system for improving transaction authorization rates and reducing payment friction across issuing banks and card networks
Abuse Detection Framework
Comprehensive solution for identifying and preventing policy violations including coupon misuse, fraudulent returns, and unauthorized reseller activities
Machine Learning Fraud Detection
Advanced machine learning algorithms analyze user behavior, device characteristics, and network traffic to detect anomalies and identify fraudulent activities
Threat Intelligence
Continuously updated threat intelligence platform with global insights from Digital Crime Resistance Centers to track emerging cyber threats
Behavioral Analytics
Multi-dimensional user behavior analysis that distinguishes legitimate users from potential fraudsters across digital channels
Real-time Anomaly Detection
AI-driven technology capable of identifying suspicious patterns and potential fraud incidents in real-time across web, mobile applications, and APIs
Device and Network Characterization
Comprehensive analysis of device characteristics and network traffic to establish baseline user behavior and detect potential security risks
Standard contract
No
Customer reviews
0 ratings
0 AWS reviews
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5 external reviews
Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
Information Technology and Services
Make the Switch.
Reviewed on Jun 06, 2019
Review provided by G2
What do you like best about the product?
It's been a great experience to utilize Fraud.net's offerings. It's a lot more than just a portal to "approve" or "cancel" transactions, as we soon found out. Within a few months, the fraud.net team showed us things we never thought were even correlated as it relates to how to spot both good and bad users. We were then able to take that data and make adjustments to some of our business practices. As a result, we are approving more good orders and getting less chargebacks. Win-win.
What do you dislike about the product?
We migrated from another provider and at first it was frustrating to relearn a new product that had different (and ultimately better) capabilties, especially for an organization-wide transition. We were looking at it from a 'rules-based' solution, instead of a comprehensive fraud solution, so we had to change our mindset. Glad we did.
What problems is the product solving and how is that benefiting you?
We wanted to move away from just writing rules to stop fraud. We wanted to actually get ahead of it and we felt that a technology based/data science oriented solution gave us our best chance to do so. With so much data out there, it was impossible to keep up. Now we have a great solution, that we rely on and trust. And as mentioned above, revenue is up and fraud is down (both of which are great things to say).
Recommendations to others considering the product:
Make sure you have a deployment plan. Fraud.net was really good about helping us scope out what we needed to do and in phases. When your company is making a change like this, it's really important to do technical tests and make sure everything is working well before you fully turn it on. Fraud.net was great about setting expectations and organizing our data.
Marketing and Advertising
Highly recommend.
Reviewed on Jun 04, 2019
Review provided by G2
What do you like best about the product?
Using this on the backend with some of our properties and it's been very helpful.
What do you dislike about the product?
The amount of data available can be overwhelming, so make sure you work with reps to understand and get the best use out of it for your needs.
What problems is the product solving and how is that benefiting you?
We work in publishing and ecommerce so are concerned about the source, quality and validity of our web traffic. Fraud.net helps us identify good and bad traffic, device authentication and malicious bots, helping us with various business, technical and operational issues.
Recommendations to others considering the product:
Give them a call and see what they can uncover for you to help your business.
Health, Wellness and Fitness
Helped my department meet their goals.
Reviewed on May 07, 2019
Review provided by G2
What do you like best about the product?
My team found some really interesting trends after we used it for awhile. The product was pretty easy to use and the training period was minimal. I liked being able to see so much info about a single transaction while keeping my company's data organized.
What do you dislike about the product?
Rule writing can be frustrating, especially for beginners. There were so many options and it was hard to know where to start. Eventually got the hang of it and it was smooth sailing from there.
What problems is the product solving and how is that benefiting you?
Just keeping my company's data organized and easy to digest has been a huge lift for my team's productivity and business decisions. We actually uncovered a new type of fraud that our internal system wouldn't have been able to catch.
Recommendations to others considering the product:
Be sure to know what you want to get out of the product first. We knew Fraud.net was the best fit for us because we had a list of things that we asked each vendor. They were the only ones that could do everything we wanted to. Definitely pays to shop around and we couldn't be happier
Health, Wellness and Fitness
Easy implementation, deep and relevant data provided, makes decisioning a breeze.
Reviewed on Apr 04, 2019
Review provided by G2
What do you like best about the product?
Knowledgeable and helpful team, fast and easy onboarding, rich data with clean interface for efficient management of order reviews. Appreciate the network feature and ability to report fraudsters to the community.
What do you dislike about the product?
Haven't found anything to dislike yet. Works as billed and can do much more than we need right now.
What problems is the product solving and how is that benefiting you?
We had a rash of problems with international crooks trying to submit orders with stolen credit cards, either to steal products or validate the cards. Our payment gateway tools were failing to stop the transactions, so we used Fraud.net's rules engine to identify them and block them from our website. Immediate ROI and time saver.
Recommendations to others considering the product:
Identify your biggest pain point for detecting and preventing fraud and start with that solution from Fraud.net. It will likely help you in short amount of time after which you can add services to help with other areas of your business.
Web A.
Really Comprehensive. Helped identify fraud and make big improvements to our order management system
Reviewed on Mar 28, 2019
Review provided by G2
What do you like best about the product?
I work at a mid-sized e-commerce company and started using the service about 2 years ago. First I just used the api to get a fraud score to feed into our own order management system, but as I got to know Fraudnet's system better, we began using their scoring, case management and automation systems too. Really helpful in getting the initial setup launched, so all around a very pleasant experience in solving an unpleasant problem.
What do you dislike about the product?
Probably worth getting a support plan if you're doing medium volume, since we started without one and the turnaround for email questions was about 24 hours. I think they've gotten better.
What problems is the product solving and how is that benefiting you?
We had a lot of fraud as our volume grew. Our customer service reps weren't able to keep up with the phone calls and manual reviews, so we had Fraud.net come in and score the orders using machine learning so our CSRs would only have to spend a few minutes per review (down from 20 minutes). They knew a lot about e-commerce so the whole process was pretty easy.
Recommendations to others considering the product:
Do some preparation and the process can go really fast. I didn't look at the api documentation or ask for help, so it took me a week longer than it should have, but the whole integration happened in about a month. We programmed the api in less than a day.