application fraud

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By: BAE Systems     Published Date: Dec 29, 2015
Learn about the challenges involved in combating first-party fraud and emerging best practices
Tags : bae systems, applied intelligence, fraud, first-party fraud, financial institution, network analytics, detection, prevention
     BAE Systems
By: Blue Coat Systems     Published Date: Jun 26, 2013
While mobile threats are still largely mischiefware and have not yet broken the device’s security model but instead more focused on for-pay texting scams or stealing personal information, the dangers are still rife. This white paper from BlueCoat examines the mobile threat landscape and the behavioral patterns of mobile users that make them most vulnerable to data loss, malicious applications, fraud and other mobile threats.
Tags : mobile threats, security, malicious applications, data loss prevention, fraud, technology, malware, networking
     Blue Coat Systems
By: Blue Coat Systems     Published Date: Jun 26, 2013
All indicators are up when it comes to mobility: More devices, more users, more budget, and more applications. Business technology leaders must begin planning now for a security paradigm shift, one that will pull together disparate security policies into a single, user-centric, universal policy that can apply to whatever devices and apps employees use. This white paper from BlueCoat explores the new security challenges mobility trends are creating, and how security must change to meet them.
Tags : mobile threats, security, malicious applications, data loss prevention, fraud, technology, malware, storage
     Blue Coat Systems
By: Blue Coat Systems     Published Date: Jul 18, 2013
While mobile threats are still largely mischiefware and have not yet broken the device’s security model but instead more focused on for-pay texting scams or stealing personal information, the dangers are still rife. This white paper from BlueCoat examines the mobile threat landscape and the behavioral patterns of mobile users that make them most vulnerable to data loss, malicious applications, fraud and other mobile threats.
Tags : mobile, malware, security, scams, bluecoat, data loss
     Blue Coat Systems
By: Infosys     Published Date: Jun 14, 2019
The basic promise of blockchain is that it works as a global distributed ledger or database of things we value - everything from money, to creative work and votes - so these can then be managed and transacted in a trusted and secure manner. Yes, blockchain is a young technology, but well past its infancy. Today, the somewhat inflated expectations around the technology have been brought to a more realistic level and we are beginning to see practical applications across the enterprise. Although these are typically in the realm of reducing cost and/or time for transactions, improving product and system security, finding and preventing fraud and counterfeiting and increasing transparency, there are also instances of businesses relying on blockchain to create new revenue streams. Infosys recently commissioned an independent survey of senior executives worldwide. Download the report to read about their findings.
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     Infosys
By: Iovation     Published Date: Sep 25, 2009
Learn what new and innovative techniques and solutions can be used to combat online credit application fraud, and how you can realize a true ROI by reducing losses and increasing operational efficiency within your fraud prevention process.
Tags : iovation, online credit applicants, fraudulent, stolen identities, financial, banking, and credit industries, fraud prevention strategies
     Iovation
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
     Iovation
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: Mitto     Published Date: Jun 09, 2017
A2P (Application to Person) messaging has underpinned this transformation, across a wealth of new use cases and new verticals. Historically, A2P was used for alerts and, as PSMS (Premium SMS), as a billing mechanism and carrier for simple content and services, both for one-off downloads or actions (eg voting) and for recurring payments. The latter use case has declined markedly in the past 5 years, due largely to the transition to an app-based economy, largely driven by card billing and by regulatory action (in markets such as the US and UK) against fraudsters.
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     Mitto
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: Oracle CX     Published Date: Oct 19, 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 companies
Tags : 
     Oracle CX
By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 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.
Tags : 
     Oracle PaaS/IaaS/Hardware
By: SAS     Published Date: Mar 06, 2018
Imagine getting into your car and saying, “Take me to work,” and then enjoying an automated drive as you read the morning news. We are getting very close to that kind of scenario, and companies like Ford expect to have production vehicles in the latter part of 2020. Driverless cars are just one popular example of machine learning. It’s also used in countless applications such as predicting fraud, identifying terrorists, recommending the right products to customers at the right time, and correctly identifying medical symptoms to prescribe appropriate treatments. The concept of machine learning has been around for decades. What’s new is that it can now be applied to huge quantities of data. Cheaper data storage, distributed processing, more powerful computers and new analytical opportunities have dramatically increased interest in machine learning systems. Other reasons for the increased momentum include: maturing capabilities with methods and algorithms refactored to run in memory; the
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     SAS
By: SAS     Published Date: Nov 16, 2018
More account openings are taking place through digital devices and online, giving the access and anonymity fraudsters need to steal or fabricate identities. Since credit fraud often starts with a falsified application, it makes sense to have strong tools to monitor loans and credit lines from that point onward. This paper discusses analytics-driven methods for validating applications and spotting trouble at all three stages of bust-out fraud schemes.
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     SAS
By: SAS     Published Date: Jan 04, 2019
As the pace of business continues to accelerate, forward-looking organizations are beginning to realize that it is not enough to analyze their data; they must also take action on it. To do this, more businesses are beginning to systematically operationalize their analytics as part of a business process. Operationalizing and embedding analytics is about integrating actionable insights into systems and business processes used to make decisions. These systems might be automated or provide manual, actionable insights. Analytics are currently being embedded into dashboards, applications, devices, systems, and databases. Examples run from simple to complex and organizations are at different stages of operational deployment. Newer examples of operational analytics include support for logistics, customer call centers, fraud detection, and recommendation engines to name just a few. Embedding analytics is certainly not new but has been gaining more attention recently as data volumes and the freq
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     SAS
By: UL     Published Date: Sep 12, 2018
Performance textiles and fabrics are rapidly bringing apparel and footwear products into the 21st century. Manufacturers today are innovating at breakneck speed and bringing to the market synthetic textiles and fabrics with enhanced performance characteristics, or that feature embedded fibers or topical applications. This has led to the widespread introduction of advanced performance apparel and footwear that offer you new levels of comfort and safety. At the same time, sorting through claims regarding the performance characteristics of these advanced textiles and fabrics can present real challenges for manufacturers, retailers and you. At a minimum, the myriad of vague, conflicting or unsubstantiated marketing claims and characterizations used to promote these materials often result in frustration and disappointment. And fraudulent representations can unnecessarily expose apparel manufacturers and retail buyers to potentially hazardous chemicals and other risks.
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     UL
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