Architecture & Plug-ins
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Domain Registration
Payment Processors
Fraud Module
Parallels Business Automation provides plug-in module support for almost thirty domain registrars worldwide. If a domain registrar that you use is not listed below contract Parallels to build a plug-in for you or you can configure your own using Parallels published APIs.
These domain registrar plug-ins enable you and your resellers to focus on your service, gain flexibility and decrease churn across your web hosting business. Increase efficiency through automation and focus your staff on revenue generating tasks and differentiating your service in the marketplace.
Domain Registration Plugins
Linux
Windows
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Bottle Domains (Australian Style) |
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BulkRegister | |
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CentralNic | |
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DK HostMaster | |
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DNS.be | |
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DNS.pt | |
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Enom | |
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Epag | |
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EURid | |
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GMO (onamae.com) |
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GoDaddy (Wild West Domains) |
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GPT | |
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IEDR | |
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IIS | |
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Joker | |
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Melbourne IT | |
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NicLine | |
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NIC.tr | |
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Nominet | |
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Norid | |
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Nunames | |
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OpenSRS | |
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SRSplus | |
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Switch | |
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tppinternet | |
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UniForum | |
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SIDN | |
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SSL Certificate Providers
Parallels Business Automation provides a plug-in module for eNom SSL certificates. Offering SSL certificate services in combination with domain name registration services makes end users sticky, reduces churn and increases revenue per user.
SSL Certificate Providers
Linux
Windows
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Enom | |
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Parallels Business Automation includes integrated credit card payment functionality, including flexible fraud screening and a wide variety of supported payment gateways.
Providers and resellers can setup and configure a customized set of credit card payments plug-ins, allowing use of multiple merchant accounts for different types of payment methods. Credit card processing can be flexibly configured to perform different types of transactions (pre-auth, sale, void sale) before or after the service provisioning.
The following payment plug-ins are supported in Parallels Business Automation:
Plugin
Linux
Windows
Parallels Operation Automation delivers a comprehensive fraud screening system to automatically monitor online and offline transactions. Fraud screening results are integrated into your workflow process so you can automatically approve orders, manually approve orders, or reject orders depending upon the results of the fraud check. This enables you to decrease churn by catching fraud before accepting the order and implementing the associated services.
Fraud Screening Details
Parallels Operations Automation includes over 20 pre-integrated fraud plug-ins that can be incorporated into your fraud screening process. The plug-ins are used to create fraud screening rules that can be individually weighted and assigned to specific workflows. This flexibility allows you to filter new orders differently from renewal orders and automated orders differently from manual orders.
After the fraud filter screens an order, potentially fraudulent tranactions can be placed into a manual order flow for review. If upon further review, the order is determined to be fraudulent, the reviewer can update the black list of credit cards and accounts with the click of a button. This integration makes it easy to maintain these lists in the regular course of doing business.
Fraud Screening Plug-Ins
The table below is a list of pre-integrated fraud screening plug-ins. Some plug-ins which perform similar functions have been grouped together for presentation purposes.
Providers can integrate their existing fraud checks or write custom plug-ins using the Parallels Operations Automation API. Many Parallels Operations Automation deployments include additional checks which are then made available to help the service provider community fight fraud.
Plug-in Name | Description |
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| Accounts per Credit Card | Checks the number of accounts associated with a single credit card. |
| Black Credit Cards Black Domains Black E-mail Addresses Black IP Addresses Black Phones Black Service Plans |
These plug-ins determine if the order is associated with any of the black lists maintained by the system. Credit cards, domain names, IP addresses, phone numbers, service plans, and e-mail addresses can all be black listed. |
| Cardholder Name | Determines if the payment cardholder's name matches the name of the account owner. |
| Cardholder Address | Determines if the payment cardholder's address matches their billing address. |
| Credit Card per Account | Checks the number of credit cards with a different cardholder name associated with a single customer account. |
| Fraudulent Password | Determines if the password matches a password from a fraudulent account. |
| GeoIP | These plug-ins determine if customer address or payment method address is associated with a potentially fraudulent country. The service provider configures the country list to match his markets. Two control parameters reside in separate plug-ins. |
| Excessive Usage | These plug-ins flag accounts or credit cards which have usage over a threshold determined by the service provider. |
| Login Name | Determines if the login name is associated with a trusted or non-trusted interval. |
| Lower Case Account Information |
Flags orders that are entered with all lower-case letters. |
| Orders Per Account | Determines the number of orders placed from one account. |
| Payment Confirmation | Determines if payments of certain payment systems from certain countries are to be processed manually. |
| Payment Verification | Verifies that the payment method is consistent with the customer's country and authorized by the payment processor. |
| Preauthorization | Submits credit card for pre-authorization on the stage of fraud screening (before creating payment). |
| Subscription Period | Determines if the subscription period exceeds a threshold set by the service provider. |
| Transaction Amount | Determines if a transaction is higher than a threshold determined by the service provider. |
| Zip Code | Verifies zip code parameters associated with US based orders. |
Service providers can build their own fraud plug-ins or integrate other plug-ins if they need to expand the functionality presented above.
