RSA, The Security Division of EMC, announces the release of RSA Adaptive Authentication Mobile SDK Modules 3.0

Document created by RSA Admin Employee on Oct 6, 2015Last modified by RSA Link Team on Apr 11, 2016
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Summary:

 

RSA Adaptive Authentication Mobile SDK Modules enable mobile application developers to integrate the world-class security of RSA Adaptive Authentication risk-based authentication into mobile applications on device platforms which include Android, BlackBerry,  Apple iOS and Windows Phone. RSA Adaptive Authentication benefits the customer through offering multi-channel fraud protection. By providing a unified view of the end user of web and mobile channels, RSA Adaptive Authentication provides protection and authentication per channel while analyzing behavior and activities across channels.

The Mobile Data Collection Module provides collection methods for mobile device identifiers and mobile device geolocation data that is used for risk assessment in Adaptive Authentication. It is designed to be embedded in the customer mobile application, from where it enables flexible and customizable collection of device identifiers and location information. RSA Adaptive Authentication Mobile SDK Mobile Data Collection Module powers the Mobile Channel Protection Module, an extension of RSA Adaptive Authentication, which compliments the Web Channel Protection Module.

  

 

 

What's New

RSA Adaptive Authentication Mobile SDK Modules v3.0 provides a new Mobile Authentication Module to enable mobile application developers to utilize fingerprint and eye biometric technology for step up authentication purposes. Biometric authentication enables customers to provide end users with ease-of-use, flexibility and security through a variety of innovative authentication methods, that are appropriate for different end users, situations and device types. To ensure maximum privacy protection, all of the biometric data that the SDK collects, remains on the user device. The SDK provides a set of API calls that support initial end-user enrollment and subsequent authentication validation. The Mobile Authentication Module can be integrated within the logical mobile application flows, to provide in-app and on-device simplified biometric authentication methods. 

 

Fingerprint Biometrics 

Fingerprint Biometric Authentication method is available for an end user device that supports fingerprint enrollment. 


Eye Biometrics 

RSA analyzes the end user's eye veins, which are scanned by the device. The end user's eye veins are compared to eye vein samples that were scanned by the genuine end user during the enrollment process and stored on the device. 

 

Documentation. Updated documentation includes the changes and enhancements introduced in this release.

 

 

 

Supported Platforms

Mobile Data Collection Module: 

 

- Android 2.1 and later. The Adaptive Authentication Mobile SDK was tested on version 5.1 (22).

 

- BlackBerry 5.0 to 7.1

 

- iOS 6.0 and later. The Adaptive Authentication Mobile SDK was tested on version 9.0.

 

- Windows Phone 7.0 to 8.1 

 

 

 

Mobile Authentication Module:

- Android. From version 4.1.2 (16) and later. The Adaptive Authentication Mobile SDK was tested on version 5.1 (22).

- iOS. From version 7.0. The Adaptive Authentication Mobile SDK was tested on version 9.0.

 

 

For more information, see the Release Notes.

 

 

Related Products:

 

- RSA Adaptive Authentication (Hosted)

 

- RSA Adaptive Authentication (On-Premise)  

 

 

 

Download Instructions for RSA Adaptive Authentication Mobile SDK Modules 3.0:

 

Register to download the product package and documentation at the following link:

 

https://developer-content.emc.com/downloads/secure_mobile/rsa_adaptive_auth/rsa_aa_labs.html .

 

Note: If you are not logged in to the EMC Community Network (ECN), the login screen is displayed. When you log in, you are redirected to the RSA Mobile SDK - Adaptive Authentication Module registration screen. If this link does not lead to the registration screen, copy the URL directly to the browser. 

 

  

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