detect fraud

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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
By: Akamai     Published Date: Jun 04, 2010
Predictive analytics have been used by different industries for years to solve difficult problems that range from detecting credit card fraud to determining patient risk levels for medical conditions. It combines data mining and machine-learning technologies to create statistical models based on historical data. It then uses these models to predict future events. Extracting the power from the data requires powerful algorithms behind predictive analytics.
Tags : akamai, predictive, online advertising, tracking pixels, online shopping, in-market, site visitors, performance marketing
     Akamai
By: WNS     Published Date: Apr 06, 2017
In the recent past, a New York City court convicted 13 people including six medical professionals who had, over several years, milked auto insurance companies of millions in fraudulent claims.
Tags : insurance, auto insurance, wns, benefits of wns
     WNS
By: Akamai Technologies Australia     Published Date: Feb 08, 2018
Credential stuffing is on the rise. Bots are getting smarter and malicious actors are getting more confident. Unfortunately, these advanced cyberattacks are also becoming more difficult to detect with standard security controls. Learn more about credential stuffing and how you can protect your business, your brand, and your customers from bots that commit fraudulent activity.
Tags : credential, bots, business, risk, management, security, cyberattacks
     Akamai Technologies Australia
By: IBM     Published Date: May 02, 2017
An interactive white paper describing how to get smart about insider threat prevention - including how to guard against privileged user breaches, stop data breaches before they take hold, and take advantage of global threat intelligence and third-party collaboration. Security breaches are all over the news, and it can be easy to think that all the enemies are outside your organization. But the harsh reality is that more than half of all attacks are caused by either malicious insiders or inadvertent actors.1 In other words, the attacks are instigated by people you’d be likely to trust. And the threats can result in significant financial or reputational losses.
Tags : insider threats, data management, organization management, data analytics, threat detection, risk management, fraud discovery, forensics investigation, incident response
     IBM
By: Teradata     Published Date: Jun 12, 2013
The ever-changing environment has offered fraudsters some tactical advantages to probe for holes in the defenses of financial services companies. Conventional approaches to fraud detection and remediation remain effective to a point, but conventional tools cannot effectively and economically process what is known as big data.
Tags : enterprise risk intelligence, fraud detection, big data, fraud prevention
     Teradata
By: SAP     Published Date: Jul 18, 2016
People on the frontlines of public-sector fraud management have considerable need to detect, monitor and prevent fraud in real time. They recognize that speed in analysis, detection, investigations and simulations is the key to minimizing taxpayer dollars lost to fraud. Read the report to learn more.
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     SAP
By: IBM     Published Date: Apr 26, 2016
New channels and cashless payment ecosystems have created greater risk for financial institutions; the increase in fraudulent activities has compounded the need for more rapid detection and counter measures. Please view this webcast and learn: - The key challenges financial institutions face in rapidly detecting, responding and countering new fraud schemes - The value a cognitive computing approach offers an institution; enabling them to make swifter, more accurate decisions while providing more control and transparency
Tags : ibm, ibm banking industries, risk management, predictive analytics, fraud, cognitive computing
     IBM
By: IBM     Published Date: Jan 26, 2017
The IBM Counter-Fraud Management for Insurance solution is designed to help insurers prevent and intercept attempted fraud while detecting, identifying, and building the case against past fraudulent activity and improper payments.
Tags : ibm, analytics, insurance, counter-fraud management, fraud
     IBM
By: TIBCO Software APAC     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 APAC
By: Intel Corp.     Published Date: Nov 21, 2017
this Whitepaper will provide an overview on personalizing customer experiences to pinpointing undetected fraud, to identifying business efficiencies, Intel's Saffron Natural Intelligence Platform helps financial institutions increase revenue and prevent loss.
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     Intel Corp.
By: TIBCO Software     Published Date: Mar 04, 2019
A perfect storm of legislation, market dynamics, and increasingly sophisticated fraud strategies requires you to be proactive in detecting fraud quicker and more effectively. TIBCO’s Fraud Management Platform allows you to meet ever-increasing requirements faster than traditional in-house development, easier than off-the-shelf systems, and with more control because you’re in charge of priorities, not a vendor. All this is achieved using a single engine that can combine traditional rules with newer predictive analytics models. In this webinar you will learn: Why a fraud management platform is necessary How to gain an understanding of the components of a fraud management platform The benefits of implementing a fraud management platform How the TIBCO platform has helped other companies Unable to attend live? We got you. Register anyway and receive the recording after the event.
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     TIBCO Software
By: Mimecast     Published Date: Apr 18, 2017
"Whaling attacks have risen in recent months and these emails are more difficult to detect because they don’t contain a malicious hyperlink or attachment, and rely solely on social-engineering to trick their targets. In order to combat these attacks, organizations must be aware of the dangers presented by whaling, or CEO fraud, and put the right safeguards in place. Mimecast conducted a whaling attack survey with 500 organizations around the globe and the results were alarming. Read this report to learn: - The five key phases of a whaling attack - How to protect your organization from a whaling attack through company exercises, education, and technology. - What Mimecast is offering to combat these attacks in its industry-leading Targeted Threat Protection service."
Tags : cyber security, cyber fraud, impersonation attacks, ceo fraud, whaling
     Mimecast
By: ArcSight     Published Date: Mar 04, 2009
This document will outline the requirements for an effective fraud mitigation solution. It will detail a solution that considers the entirety of an organization’s fraud mitigation strategy.
Tags : fraud, siem, arcsight, mitigating fraud, intrusion prevention systems, fraudsters, fraud policy, insider threats, mission critical assets, security
     ArcSight
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, business technology
     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: Vertica     Published Date: Mar 15, 2010
Revenue assurance analysts at a top-tier US-based carrier studied this every day. Primarily focused on detecting fraud, revenue sharing contract violations and incomplete revenue collections, they had the need to query and analyze call detail record (CDR) databases that grow by millions of new CDRs every day.
Tags : vertica, ec2, cdr, elastic, saas, dbms, sql, acid transactions, jdbc, odbc, etl, cloud computing, data management, ad-hoc, business intelligence, cloud, cloudbased applications, analytic, saas, dbms
     Vertica
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: Aug 03, 2016
Tax fraud is already prevalent, and fraudsters are more sophisticated and automated than ever. To get ahead of the game in detecting fraud and protecting revenue, tax agencies need to leverage more advanced and predictive analytics. Legacy processes, systems, and attitudes need not stand in the way. To explore the challenges, opportunities, and value of tax fraud analytics, IIA spoke with Deborah Pianko, a Government Fraud Solutions Architect within the SAS Security Intelligence practice.
Tags : finance, tax fraud, security, protecting revenue, opportunities, analytics
     SAS
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
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