Online 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

AI in Fraud Management: Uses cases, benefits and challenges
sponsored by TechTarget ComputerWeekly.com
EGUIDE: AI is involved in many cybersecurity processes. Now, AI has its sights set on improving the fraud detection and management landscape. In this e-guide, learn about the use cases, as well as the benefits and challenges organisations should keep in mind when implementing AI into their fraud detection and management processes.
Posted: 01 Mar 2023 | Published: 08 Mar 2023

TechTarget ComputerWeekly.com

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

Top 10 enterprise IT in the Benelux region stories of 2019
sponsored by TechTarget ComputerWeekly.com
EGUIDE: The Netherlands is usually seen as a forward-thinking nation when it comes to developing and adopting the latest IT, but it seems its government is not doing particularly well in this respect. Here are Computer Weekly's top enterprise IT in the Benelux region stories of 2019.
Posted: 08 Feb 2021 | Published: 03 Jan 2020

TechTarget ComputerWeekly.com

WagerWorks Takes Fraudsters Out of the Game Using iovation Device Reputation
sponsored by iovation, Inc.
CASE STUDY: In this paper WagerWorks covers how to deal with fraud challenges and resolution requirements of the casino industry.
Posted: 14 Dec 2009 | Published: 11 Dec 2009

iovation, Inc.

Preventing Fraud with Identity & Social Network Analytics: A Guide for Bank Executive
sponsored by IBM
WHITE PAPER: This paper discusses the ways that identify and social network analysis can help you prevent fraud and enable compliance by focusing not only on transactions, but also on person and groups and how they are related. Learn the requirements for a proactive fraud detection systems, and how ongoing data analysis can alert you to the need for action.
Posted: 28 Jul 2011 | Published: 28 Jul 2011

IBM

IBM InfoSphere Guardium Data Redaction
sponsored by IBM
WHITE PAPER: InfoSphere Guardium is a key part of the IBM InfoSphere portfolio. IBM InfoSphere software is an integrated platformfor defining, integrating, protecting and managing trusted information across your systems.
Posted: 13 Apr 2011 | Published: 13 Apr 2011

IBM

Webinar: Addressing ‘The Unlucky Seven’ - Security and Compliance Issues that Matter Most to the Mid-Market
sponsored by ArcSight, an HP Company
WEBCAST: This webinar will go through the most critical challenges faced by mid-market companies, and illustrate how collecting and analyzing event data across the enterprise can address those challenges in the context of budget and staff constraints.
Posted: 04 Mar 2011 | Premiered: Mar 4, 2011

ArcSight, an HP Company

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.

Securities and capital markets
sponsored by IBM
WHITE PAPER: IBM®ILOG®’s business rule management system (BRMS) is widely used by leading investment banks, asset management and mutual fund firms to meet their compliance requirements while adding intelligent decisioning capabilities to applications and processes throughout the trading cycle, and business channels and systems.
Posted: 07 Jul 2011 | Published: 07 Jul 2011

IBM