fraud detection

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By: Fiserv     Published Date: Mar 02, 2018
For the past decade, financial institutions have created sophisticated digital platforms for consumers to access, save, share and interact with their financial accounts. As sophisticated as these digital platforms have become, cyber criminals continue to pose an ever-present risk for everyone – from individual consumers to large corporations. In his recent article, 2018 Outlook: Customer Experience and Security Strike a Balance, Andrew Davies, vice president of global market strategy for Fiserv’s Financial Crime Risk Management division, explains how and why security will become a key differentiator for financial institutions as they respond to a changing landscape, which includes: • Global payment initiatives • Open Banking standards • Artificial intelligence and machine learning • Consumer demand for real-time fraud prevention and detection
Tags : cyber crime, financial crime, financial security, customer experience, financial crime risk management, global payments, open banking standards, artificial intelligence, machine learning, fraud prevention, fraud detection
     Fiserv
By: IBM     Published Date: May 02, 2018
Learn what factors to consider in making your business case for digital identity fraud detection.
Tags : identity fraud, security, fraud detection
     IBM
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
By: Intel Corp.     Published Date: Nov 21, 2017
This whitepaper will provide an overview on how powerful computing and software technologies enable real time fraud detection to cut losses and reduce risks.
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     Intel Corp.
By: TIBCO Software     Published Date: Mar 12, 2019
Fraud affects more than just your customers, it fundamentally destroys your reputation and has significant impact on your bottom line. In the first half of 2018, financial fraud from payment cards, cheques and remote banking totaled £358m in the UK alone, resulting from over a million incidents, an increase of more that 50% over the last 4 years. Have a look at this interesting Infographic to find out more.
Tags : fraud, fraud prevention, uk fraud, fraud detection, machine learning
     TIBCO Software
By: TIBCO Software     Published Date: May 20, 2019
The biggest headache for most payment operations teams is cost control — and a large part of it comes from fraud management: Investigation teams waste large amounts of time just assembling the data needed to make decisions. Detection engines are always playing catchup with the latest fraud patterns. Ever changing regulations increase the time and cost required to reach compliance and meet audit standards. Given their scope and impact, replacing core fraud systems is not an option for most firms. But instead of replacing them, you can improve the investigative process with augmented investigation, and improve the detection process by enhancing current systems. This whitepaper describes three ways financial services firms can use TIBCO solutions to lower the cost of investigations through faster results, reduce fraud losses through better detection, and simplify audit and regulatory compliance through centralized access to information.
Tags : compliance, audit, fraud, data, detection, transactions, investigation, cost
     TIBCO Software
By: Oracle     Published Date: Oct 20, 2017
In today’s IT infrastructure, data security can no longer be treated as an afterthought, because billions of dollars are lost each year to computer intrusions and data exposures. This issue is compounded by the aggressive build-out for cloud computing. Big data and machine learning applications that perform tasks such as fraud and intrusion detection, trend detection, and click-stream and social media analysis all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Companies increasingly need to drive the speed of business up, and organizations need to support their customers with real-time data. The task of managing sensitive information while capturing, analyzing, and acting upon massive volumes of data every hour of every day has become critical. These challenges have dramatically changed the way that IT systems are architected, provisioned, and run compared to the past few decades. Most compani
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     Oracle
By: ParAccel     Published Date: Dec 16, 2010
This solution brief explains how Fidelity Information Services (FIS) executives realized that they needed an analytics database solution that could keep up with additional fraud complexity as well as much larger sets of data to improve detection rates.
Tags : paraccel, analytic database, financial fraud analytics, fidelity information services
     ParAccel
By: ParAccel     Published Date: Nov 15, 2010
This solution brief explains how Fidelity Information Services (FIS) executives realized that they needed an analytics database solution that could keep up with additional fraud complexity as well as much larger sets of data to improve detection rates.
Tags : paraccel, analytic database, financial fraud analytics, fidelity information services
     ParAccel
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.
Tags : 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
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.
Tags : 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
     Attachmate
By: IBM     Published Date: Sep 25, 2013
Learn why an Enterprise Fraud Management Platform allows for data to be shared more efficiently while simultaneously applying analytics to prioritize workflows, which will increase productivity per employee and assist insurers in detecting emergent fraud patterns in order to reduce loses.
Tags : investigation management, investigation management team, fraud, enterprise fraud management platform, fraud management, data, analytics, fraud detection, reduce loss, employee productivity, workflow, fraud analytics
     IBM
By: Sift     Published Date: Jul 12, 2019
"As online fraud detection grows in complexity and demand, what qualities should security and risk management leaders look out for in a solution? Get key recommendations for navigating the online fraud detection market from Gartner Research. READ THIS GUIDE TO FIND OUT: Where the online fraud detection market is heading A list of vendors in the online fraud detection space, and their capabilities Recommendation for how to incorporate AI and machine learning into your fraud prevention approach "
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     Sift
By: Microsoft     Published Date: Jul 20, 2018
At its Build conference in May, Microsoft took the wraps off Cosmos DB, the new incarnation of its existing cloud-based Azure DocumentDB NoSQL database. With a nod to the dramatic, Microsoft terms Cosmos DB as its biggest database bet since SQL Server; it is positioning it as its flagship cloud database, suited for use cases ranging from security and fraud detection, to IoT (consumer and industrial), personalization, e-commerce, gaming, social networks, chats, messaging, bots, oil and gas recovery and refining, and smart utility grids. Cosmos DB is a good example of how cloud platform providers are rethinking databases for scalable, elastic environments and commodity infrastructure. The platform that is most comparable is Google Cloud Spanner, but each of these databases is engineered for different purposes: Cosmos DB as a globally distributed operational database and Spanner as a globally distributed SQL-supporting OLTP database. The highlights of Cosmos DB include its flexibility in
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     Microsoft
By: IBM Software     Published Date: Nov 02, 2010
Learn how leading insurance companies are using data mining techniques to target claims with the greatest likelihood of adjustment, improving audit accuracy, and saving time and resources.
Tags : ibm cognos predictive analysis, data mining, insurance fraud detection, analytical technique, prevention
     IBM Software
By: IBM Software     Published Date: Feb 03, 2012
Read this paper to learn how to combine powerful analytical techniques with your existing fraud detection and prevention efforts and deploy results to the people who can use the information to eradicate fraud and recoup money.
Tags : ibm, security, identity management, insurance fraud, data protection, risk management
     IBM Software
By: IBM Software     Published Date: Oct 24, 2011
Read this paper to learn how to combine powerful analytical techniques with your existing fraud detection and prevention efforts.
Tags : 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
By: SAS     Published Date: Apr 25, 2017
For traditional banks, competing in an increasingly digital business environment is a challenge. And it’s getting tougher on several fronts. First, today’s digitally oriented customers expect banks to provide an ever-higher quality experience defined by speed and the flexibility to conduct business across many channels. They’ve grown accustomed to going online and transferring money between accounts, for example, and using their mobile device to make payments and check their account balance. These kinds of experiences have raised the bar in terms of customer expectations – and banks need to keep up, or risk losing customers. This is particularly true of millennial customers, as they have little regard for loyalty, which banks have traditionally relied on to build their business. Once frustrated by inconvenience, they don’t hesitate to switch banks – and thanks to the internet, this is now a fast, painless process.
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     SAS
By: IBM     Published Date: Aug 07, 2012
Insurers lose millions each year through fraudulent claims. Learn how leading insurance companies are using data mining techniques to target claims with the greatest likelihood of adjustment, improving audit accuracy and saving time and resources. Read this paper to learn how to combine powerful analytical techniques with your existing fraud detection and prevention efforts; build models based on previously audited claims and use them to identify potentially fraudulent future claims; ensure adjusters focus on claims most likely to be fraudulent; and deploy results to the people who can use the information to eradicate fraud and recoup money.
Tags : data, mining, detect, insurance, fraud, insurers, fraudulent, claims, insurance, data, mining, techniques, audit, analytical, techniques, fraud, detection, it management, data management, data center
     IBM
By: Microsoft Azure     Published Date: Apr 11, 2018
Developing for and in the cloud has never been more dependent on data. Flexibility, performance, security—your applications need a database architecture that matches the innovation of your ideas. Industry analyst Ovum explored how Azure Cosmos DB is positioned to be the flagship database of internet-based products and services, and concluded that Azure Cosmos DB “is the first to open up [cloud] architecture to data that is not restricted by any specific schema, and it is among the most flexible when it comes to specifying consistency.” From security and fraud detection to consumer and industrial IoT, to personalized e-commerce and social and gaming networks, to smart utilities and advanced analytics, Azure Cosmos DB is how Microsoft is structuring the database for the age of cloud. Read the full report to learn how a globally distributed, multi-model data service can support your business objectives. Fill out the short form above to download the free research paper.
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     Microsoft Azure
By: IBM     Published Date: Feb 11, 2015
With the introduction of sophisticated threats such as advanced phishing and malware, authentication can become less effective. Authentication methods can be bypassed by fraudsters and traditional risk-based authentication solutions can cause many users to be unnecessarily challenged and disrupted, yet do not manage to reduce fraud. As fraud rises, there is a strong need for fraud tools that can detect account takeover and fraudulent transactions. IBM® Security Trusteer™ Pinpoint Criminal Detection software offers a next generation approach that helps address the challenges of traditional risk engines.
Tags : criminal fraud detection, authentication methods, ibm, criminal detection software, security, software development
     IBM
By: SAS     Published Date: Mar 06, 2018
The 2016 ACFE Report to the Nations on Occupational Fraud and Abuse analyzed 2,410 occupational fraud cases that caused a total loss of more than $6.3 billion.8 Victim organizations that lacked anti-fraud controls suffered double the amount of median losses. SAS’ unique, hybrid approach to insider threat deterrence – which combines traditional detection methods and investigative methodologies with behavioral analysis – enables complete, continuous monitoring. As a result, government agencies and companies can take pre-emptive action before damaging incidents occur. Equally important, SAS solutions are powerful yet simple to use, reducing the need to hire a cadre of high-end data modelers and analytics specialists. Automation of data integration and analytics processing makes it easy to deploy into daily operations.
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     SAS
By: SAS     Published Date: Mar 06, 2018
Traditional procurement fraud detection methods – manual searches; spreadsheets; and simple slice, dice, filtering and reporting from silo systems – are not keeping pace. Whatever tools and processes are in place now, there’s always the opportunity to evolve to a higher level for more accurate detection – more high-value alerts and fewer false positives.
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     SAS
By: SAS     Published Date: Mar 06, 2018
As explored in this paper, the SAS Fraud Framework supports a complete, modular, enterprise-level program integrity solution that helps payers prevent, detect and manage fraud, waste and abuse across all silos and lines of business. Its fully integrated components offer both top-down and bottom-up functionality for exposing hidden and risky networks. This approach gives payers enhanced detection capabilities, greater insight into case management and improved operational efficiency while decreasing overall cost of ownership. The result is highly effective, early, and even preventative detection of fraud, waste, abuse and corruption that improves operational efficiency and reduces health care costs.
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     SAS
By: Iovation     Published Date: Sep 25, 2009
ReputationManager is a real time fraud management solution and a forensic fraud analysis tool to identify and reduce the impact of online fraud such as chargebacks, stolen credit cards and identity theft, as well as abusive activity such as chat abuse, predatory behavior, and other forms of online harassment. This study illustrates the financial impact of using ReputationManager as part of a financial services organization's online credit card application process.
Tags : iovation, reputationmanager, real time fraud management solution, forensic fraud analysis tool, online fraud, online harassment, fraudulent applications, detection process, tei framework, client site development, vendor selection and testing, reducing fraud exposure, investment risk
     Iovation
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