fraud management

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Published By: Attachmate     Published Date: Mar 20, 2013
Insider threats continue to challenge organizations, particularly as BYOD brings complexity to enterprise risk management. The latest Ponemon research highlights recent trends, risk factors and what organizations need to do now to reduce risk.
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luminet, intellinx, enterprise fraud management, fraud management, fraud detection, fraud compliance, failed security audit, enterprise fraud management, fraud management, fraud management tools, fraud detection software, enterprise risk management, attachmate luminet, compliance audit, failed compliance audit, security, storage, data management, business technology
    
Attachmate
Published By: Q1 Labs     Published Date: Feb 02, 2012
WikiLeaks and Stuxnet have illustrated a few fundamental IT Security issues that have underscored the need for Total Security Intelligence to counter advanced threats and to detect anomalous behavior.
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wikileaks, apt, advanced persisent threats, stuxnet, siem, security event management, it network security, security intelligence, it security intelligence, siem solution, siem technology, security monitoring, threat detection, fraud prevention, risk management, security compliance, log management solution, threat detection, fraud prevention, risk management
    
Q1 Labs
Published By: IBM Software     Published Date: Oct 24, 2011
In this technical white paper from IBM, learn how predictive analytics can be used to detect internal and external threats to your organization.
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ibm, predictive analytics, collaboration, insights, integration, automation, smarter, data analysis, ibm data analysis, smarter planet new intelligence, rfid, sensors and actuators, epedigree, track and trace, insurance fraud, data management, data mining, knowledge management, data storage, knowledge management software
    
IBM Software
Published By: IBM     Published Date: Aug 06, 2014
Financial institutions need to consider a broad array of key business case components, beyond fraud loss reduction and fraud-management operating costs, when examining the business ramifications of various fraud-prevention technology approaches.
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ibm, banking, business, fraud-prevention, fraud, technology, security
    
IBM
Published By: IBM     Published Date: Aug 08, 2014
Financial institutions need to consider a broad array of key business case components, beyond fraud loss reduction and fraud-management operating costs, when examining the business ramifications of various fraud-prevention technology approaches.
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technology, fraud prevention, finance, fraud loss reduction
    
IBM
Published By: IBM     Published Date: Jul 15, 2015
Examining the business ramifications of various fraud-prevention technology approaches.
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fraud prevention technology, fraud loss avoidance, customer impact, fraud management costs, security management, malware prevention
    
IBM
Published By: IBM     Published Date: Oct 02, 2015
Financial institutions need to consider a broad array of key business case components, beyond fraud loss reduction and fraud-management operating costs, when examining the business ramifications of various fraud-prevention technology approaches.
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ibm, fraud prevention technology, fraud loss reduction, operating costs, security, it management, knowledge management, enterprise applications
    
IBM
Published By: IBM     Published Date: Jan 07, 2016
Financial institutions need to consider a broad array of key business case components, beyond fraud loss reduction and fraud-management operating costs, when examining the business ramifications of various fraud-prevention technology approaches.
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ibm, fraud, prevention, protection, threat, security
    
IBM
Published By: IBM     Published Date: Apr 04, 2016
Financial institutions need to consider a broad array of key business case components, beyond fraud loss reduction and fraud-management operating costs, when examining the business ramifications of various fraud-prevention technology approaches.
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ibm, fraud loss reduction, fraud management, fraud prevention, security, knowledge management, enterprise applications
    
IBM
Published By: IBM     Published Date: Sep 30, 2016
Financial institutions need to consider a broad array of key business case components, beyond fraud loss reduction and fraud-management operating costs, when examining the business ramifications of various fraud-prevention technology approaches.
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ibm, security, fraud prevention, technology, loss reduction, fraud, fraud management, knowledge management, enterprise applications
    
IBM
Published By: SAS     Published Date: Oct 03, 2018
Risks have intensified as retailers and financial organizations embrace new technologies to meet customer demands for convenience. The rise of mobile and online transactions introduces new risks – and with that, new requirements for fraud mitigation. This paper discusses key steps for fighting back against fraud risk by establishing appropriate and accurate data, analytics and alert management.
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SAS
Published By: NetIQ     Published Date: Jul 07, 2011
Controlling distribution of passwords to highly sensitive environments in no longer enough; learn more about Privileged identity management (PIM) and what you can do to monitor and control your business to finest level of detail possible.
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netiq, pci compliance, file integrity monitoring, fim, report on compliance, roc, audit, forrester, fraud management, pattern recognition
    
NetIQ
Published By: SAS     Published Date: Feb 29, 2012
In this white paper, Ian Henderson of Sword Ciboodle and Retha Keyser of SAS describe what that ideal can look like and how to achieve it.
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sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics, it management, ondemand solutions, performance management, risk management, sas® 9.3, supply chain intelligence, sustainability management
    
SAS
Published By: SAS     Published Date: Mar 01, 2012
Learn about the emerging best practices for mobile BI usage and the framework by which you can assess your own management capabilities for enterprise mobile BI adoption.
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sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics, it management, ondemand solutions, performance management, risk management, sas® 9.3, supply chain intelligence, sustainability management
    
SAS
Published By: NetIQ     Published Date: Jul 21, 2011
Expansion into different markets can be difficult. Read this success story about how NetIQ Directory and Resource Administrator powered NRG Energy and find out what NetIQ can do for you and your business.
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netiq, nrg, nrg energy, pci compliance, file integrity monitoring, fim, report on compliance, roc, audit, forrester, fraud management, pattern recognition
    
NetIQ
Published By: IBM Software     Published Date: Oct 24, 2011
This paper describes how to build a proactive threat and risk strategy based on predictive analytics and provides real life examples of the benefits.
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ibm, predictive analytics, collaboration, insights, integration, automation, smarter, data analysis, ibm data analysis, smarter planet new intelligence, rfid, sensors and actuators, epedigree, track and trace, insurance fraud, data management, data mining, knowledge management, data storage, knowledge management software
    
IBM Software
Published By: CA Technologies     Published Date: Apr 06, 2017
CA Technologies (NASDAQ: CA) creates software that fuels transformation for companies and enables them to seize the opportunities of the application economy. Software is at the heart of every business, in every industry. From planning to development to management and security, CA is working with companies worldwide to change the way we live, transact and communicate—across mobile, private and public cloud, distributed and mainframe environments.
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enterprise security, it security, payment card fraud, risk management, cyber attacks, risk, data protection, threat analytics, integrated mitigation
    
CA Technologies
Published By: TIBCO Software     Published Date: Aug 13, 2018
The combination of legislation, market dynamics, and increasingly sophisticated risk management strategies requires you to be proactive in detecting risks like fraud quicker and more effectively. Dynamic detection systems need to adapt to evolving compliance regulations, scale to deal with growing transaction volumes, detect sophisticated risk specific patterns, and reduce false-positives. TIBCO's Risk Management Accelerator uses a combination of predictive analytics, streaming analytics, and business process management to deliver a powerful and cost-effective system for detecting anomalies. Download this solution brief to learn more.
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TIBCO Software
Published By: IBM     Published Date: Aug 06, 2014
Cybercrime prevention needs to reach beyond fraud prevention. Organizations also need to consider deployment costs, management complexity, impact to customers and regulatory compliance. This document examines seven best practices for achieving effective, sustainable cybercrime prevention.
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ibm, banking, cybercrime, prevention, solution, fraud, security
    
IBM
Published By: IBM     Published Date: Aug 08, 2014
Cybercrime prevention needs to reach beyond fraud prevention. Organizations also need to consider deployment costs, management complexity, impact to customers and regulatory compliance. This document examines seven best practices for achieving effective, sustainable cybercrime prevention.
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fraud prevention, malware detection, threat intelligence, cybercrime, technology
    
IBM
Published By: IBM     Published Date: Nov 04, 2014
Cybercrime prevention needs to reach beyond fraud prevention. Organizations also need to consider deployment costs, management complexity, impact to customers and regulatory compliance. This document examines seven best practices for achieving effective, sustainable cybercrime prevention.
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threat prevention, cybercrime, it security, malware protection
    
IBM
Published By: IBM     Published Date: Jan 18, 2017
Predictive analytics has come of age. Organizations that want to build and sustain competitive advantage now consider this technology to be a core practice. In this white paper, author Eric Siegel, PhD, founder of Predictive Analytics World, reveals seven strategic objectives that can only be fully achieved with predictive analytics. Read this paper to learn how your organization can more effectively: Compete – Secure the most powerful and unique competitive stronghold Grow – Increase sales and retain customers competitively Enforce – Maintain business integrity by managing fraud Improve – Advance your core business capacity competitively Satisfy – Meet today's escalating consumer expectations Learn – Employ today's most advanced analytics ....and finally, render your business intelligence and analytics actionable.
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predictive analytics, increase sales, customer retention, fraud management, consumer expectations
    
IBM
Published By: Attachmate     Published Date: Mar 20, 2013
Traditional fraud detection methods, such as application logging, can’t address the scale and sophistication of today’s threats. Find out how to get the visibility you need to better and manage enterprise risk with Luminet.
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luminet, intellinx, enterprise fraud management, fraud management, fraud detection, fraud compliance, failed security audit, enterprise fraud management, fraud management, fraud management tools, fraud detection software, enterprise risk management, attachmate luminet, compliance audit, failed compliance audit
    
Attachmate
Published By: CyberSource     Published Date: Apr 25, 2019
Download this white paper to find out how you could augment your fraud management with Decision Manager machine learning insights from more than 68 billion annually processed Visa and CyberSource transactions – matched with flexible rules-based fraud strategies. • Detect fraud more accurately with robust data and insights on ever-changing fraud patterns • Protect your bottom line by reducing fraud and chargebacks • Increase acceptance rates with the only fraud solution that uses machine learning to generate and test new rules-based strategies from your historic data …and more.
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CyberSource
Published By: FICO EMEA     Published Date: May 31, 2019
: FICO commissioned an independent research study by TM Forum to look at how global telecommunication providers are using (and plan to use) machine learning and advanced analytics to improve the customer experience in credit risk and beyond. This in-depth report includes key insights from a global survey as well as executive interviews with leading communication service providers such as Telstra, Vodafone, Sky, Globe Telecom, and BT on their vision for leveraging artificial intelligence to stop fraud, better engage customers across channels, improve risk management, and drive collection results. Read this report to understand: o What CSPs see as the biggest drivers for deploying advanced analytics over the next two years o How and where BT, Globe Telecom, Vodafone UK, Sky and Telstra are using analytics, from marketing through origination o The opportunities and pitfalls around financing devices as opposed to or in addition to subsidising them o The scope for analytics to improve c
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csp, advanced analytics, telco, improve credit risk, reduce fraud loss
    
FICO EMEA
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