Fraud Detection Reports

10 common uses for machine learning applications in business
sponsored by TechTarget ComputerWeekly.com
EGUIDE: Machine learning (ML) enables businesses to perform tasks on a scale previously thought impossible. As a result, many organizations are finding ways to harness ML to not just drive efficiencies but to fuel new business opportunities. Here are 10 applications of ML that are being used to solve problems & deliver tangible business benefits:
Posted: 09 Feb 2023 | Published: 09 Feb 2023

TechTarget ComputerWeekly.com

Ultimate Guide to Incident Response and Management
sponsored by Bottomline Technologies, Inc.
EGUIDE: Incident response (IR) planning should be your top priority to minimize any security vulnerabilities that will allow hackers to invade your network. Take the survey to access the Ultimate Guide to Incident Response and Management.
Posted: 10 Dec 2021 | Published: 28 Oct 2021

All resources sponsored by Bottomline Technologies, Inc.

Fraud management: A perennial business issue
sponsored by TechTarget ComputerWeekly.com
EGUIDE: In this e-guide we will explore the current cyber fraud landscape and look at some organisations in the region that are using technology to overcome the challenges posed by fraudsters.
Posted: 06 Jul 2021 | Published: 06 Jul 2021

TechTarget ComputerWeekly.com

E-Book: Red Flag Rules Compliance
sponsored by Gemalto
EBOOK: SearchFinancialSecurity.com presents a comprehensive guide to Red Flag Rules compliance. Our experts cover all the angles with authoritative technical advice on: using a risk-based approach for compliance; specific examples of red flags; clarification of the guidance; and what industry organizations are doing to help victims.
Posted: 09 Sep 2010 | Published: 09 Sep 2010

Gemalto

Cyberthreats and Risks in the Payment Card Industry
sponsored by Jumio
EGUIDE: Find out how you can prevent and protect your enterprise against fraudsters in the payment card industry.
Posted: 22 Jun 2018 | Published: 20 Jun 2018

Jumio

Entraction Uses Device Reputation to Carry Out "Zero Tolerance" for Fraud
sponsored by iovation, Inc.
CASE STUDY: Entraction has no reservations about the effectiveness and efficiencies that are possible using device fingerprinting paired with device reputation; this is real data pulled from the user's computer, coupled with fact-based evidence of fraud from that computer's past. Read this case study to learn about how Entraction is fighting fraud.
Posted: 09 Jun 2009 | Published: 09 Jun 2009

iovation, Inc.

Who Is Fighting Phishing: An Overview of the Phishing Lifecycle and the Entities Involved
sponsored by MarkMonitor
WHITE PAPER: This white paper addresses the lifecycle of a phishing attack and how different entities--including third-party take down services and law enforcement--are involved in the process of disabling phishing sites.
Posted: 10 Oct 2008 | Published: 09 Oct 2008

MarkMonitor

Fraud management: A perennial business issue
sponsored by TechTarget ComputerWeekly.com
EGUIDE: In this e-guide we will explore the current cyber fraud landscape and look at some organisations in the region that are using technology to overcome the challenges posed by fraudsters.
Posted: 08 Oct 2021 | Published: 08 Oct 2021

TechTarget ComputerWeekly.com

Oracle Fusion Governance, Risk, and Compliance Reduces Fraud and Errors to Improve Performance
sponsored by Oracle Corporation
WHITE PAPER: Oracle Fusion GRC Applications improve bottom-line performance by continuously monitoring transactions and applying advanced forensic analysis and embedded application controls across business processes. Learn how you can detect more incidents and respond faster, preventing problems before they escalate or even occur.
Posted: 11 May 2011 | Published: 11 May 2011

Oracle Corporation

Client Case Study: Bouyges Telecom
sponsored by IBM
WHITE PAPER: In this case study, Bouygues Telecom uses an analysis platform to help it proactively uncover online and in-store fraud by consumers, dealers and organized crime groups, and prevent the subsequent loss of products and revenue.
Posted: 28 Jul 2011 | Published: 28 Jul 2011

IBM