ID Number: G00225572



Magic Quadrant for Web Fraud Detection
29 May 2012
 
Avivah Litan  

The Web fraud detection market grew about 25% in 2011 as unrelenting cyberattacks and data breaches persisted. Smaller vendors drove innovation, and their products were often added on top of existing WFD software from larger vendors to improve overall fraud prevention.





*
Unavailable for individual purchase
For information on how to gain access to this and other documents,
click here.













Contact Gartner




For information on how to gain access to this and other documents, click here.
 You or your organization may already own this document. Register now to find out. Your Gartner Membership Administrator can supply the needed License Key(s).
You will not lose your document during registration.
Sign in here:
Username:

Password:
Forgot your username
or password?







This document is not available as part of your current Gartner subscription. For pricing and availability of the full document, please contact your Gartner account representative. Your account representative can also give you more information about your current subscription and other access options that may be available to you. If you do not have a Gartner account representative, call +1 203 316 1200 for assistance.



© 2012 Gartner, Inc. and/or its Affiliates. All Rights Reserved. Reproduction and distribution of this publication in any form without prior written permission is forbidden. The information contained herein has been obtained from sources believed to be reliable. Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Although Gartner's research may discuss legal issues related to the information technology business, Gartner does not provide legal advice or services and its research should not be construed or used as such. Gartner shall have no liability for errors, omissions or inadequacies in the information contained herein or for interpretations thereof. The opinions expressed herein are subject to change without notice.




Resource Id: 2028615