Fraud Management White Papers

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Securities and capital markets
sponsored by IBM
WHITE PAPER: IBM®ILOG®’s business rule management system (BRMS) is widely used by leading investment banks, asset management and mutual fund firms to meet their compliance requirements while adding intelligent decisioning capabilities to applications and processes throughout the trading cycle, and business channels and systems.
Posted: 07 Jul 2011 | Published: 07 Jul 2011

IBM

8 Essentials of Business Analytics
sponsored by SAS
WHITE PAPER: Leading banks use business analytics to predict and prevent credit fraud, saving millions. Retailers use business analytics to predict the best location for stores and how to stock them. But these advanced business applications tell only part of the story. What's going on inside these market-leading companies that sets them apart?
Posted: 29 Jul 2010 | Published: 29 Jul 2010

SAS

Credit Issuers: Stop Application Fraud At The Source With Device Reputation
sponsored by iovation, Inc.
WHITE PAPER: Read this white paper to learn about new and innovative techniques and solutions can be used to combat fraud, and how you can realize a true return on investment by reducing losses from fraud exposure and increasing operational efficiency within your fraud prevention process.
Posted: 09 Jun 2009 | Published: 09 Jun 2009

iovation, Inc.

Database Security Audit and Protect Critical Databases
sponsored by Imperva
WHITE PAPER: Databases store extraordinarily valuable and confidential data. An increasing number of compliance regulations compel organizations to audit access to this sensitive data and protect it from attack and abuse.
Posted: 04 Feb 2011 | Published: 04 Feb 2011

Imperva

Threat and Fraud Prevention
sponsored by IBM
WHITE PAPER: This white paper explores these features, and the challenges that organizations face related to making sense of information in order to revolutionize their ability to mitigate threat and fraud.
Posted: 26 Jul 2011 | Published: 26 Jul 2011

IBM

Preventing Fraud with Identity & Social Network Analytics: A Guide for Bank Executive
sponsored by IBM
WHITE PAPER: This paper discusses the ways that identify and social network analysis can help you prevent fraud and enable compliance by focusing not only on transactions, but also on person and groups and how they are related. Learn the requirements for a proactive fraud detection systems, and how ongoing data analysis can alert you to the need for action.
Posted: 28 Jul 2011 | Published: 28 Jul 2011

IBM

Online Dating: Keeping Your Members Safe from Online Scams and Predators
sponsored by iovation, Inc.
WHITE PAPER: This whitepaper will help you understand what new and innovative techniques can be used to protect the reputation of your business, keep your members in a safe and trusted environment, while keeping the fraudsters out. Device fingerprinting helps identify the bad guys so sites can eliminate their accounts from the network once and for all.
Posted: 09 Jun 2009 | Published: 09 Jun 2009

iovation, Inc.

IBM InfoSphere Guardium Data Sheet: Managing the Entire Database Security and Compliance Lifecycle
sponsored by IBM
WHITE PAPER: As hacker attacks become more and more frequent, a comprehensive security plan has become of critical importance.  Inside this white paper, learn which security strategies are right for your company. Uncover information about an approach that offers real-time alerts, audit and reporting tools and much more.
Posted: 02 Aug 2011 | Published: 02 Aug 2011

IBM

As data grows, so do the risks: How to improve data and app sec
sponsored by IBM
WHITE PAPER: Access this resource for a cloud solution that uses a combination of hardware, software, and services with advanced technologies to ensure data and application security, while allowing you to focus on business priorities.
Posted: 06 Nov 2013 | Published: 30 Sep 2012

IBM

A "How-To" Guide on Using Cloud Services for Security-Rich Data Backup
sponsored by IBM
WHITE PAPER: Find out how cloud services for security-rich data backup can help your organization avoid the risks involved with data growth.
Posted: 25 Aug 2014 | Published: 30 Sep 2012

IBM