Internet Fraud 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

Leverage Security Intelligence for Retail
sponsored by IBM
WHITE PAPER: This informative solution brief highlights the challenges and potential solutions that can be implemented to help embrace mobile customers, protect payment and personal data and deliver a secure shopping experience.
Posted: 06 Mar 2014 | Published: 31 Oct 2013

IBM

Better Security Intelligence for the Finance Industry
sponsored by IBM
WHITE PAPER: A security intelligence platform is a key element for fighting the many threats the financial institution faces, and this white papers describes on such platform.
Posted: 19 Dec 2013 | Published: 31 Mar 2013

IBM

The Massachusetts Data Protection Law
sponsored by TechTarget Security
EBOOK: Massachusetts businesses facing down MA 201 CMR 17.00 can meet the challenge with preparation and execution. Read this e-book to learn more about important topics such as identity theft, data breach prevention, mandatory encryption, and getting ahead of the game where Massachusetts data protection law is concerned.
Posted: 18 Jun 2009 | Published: 18 Jun 2009

TechTarget Security

Credit Issuers: Stop Application Fraud At The Source With Device Reputation
sponsored by iovation, Inc.
WHITE PAPER: Read this white paper to learn about new and innovative techniques and solutions can be used to combat fraud, and how you can realize a true return on investment by reducing losses from fraud exposure and increasing operational efficiency within your fraud prevention process.
Posted: 09 Jun 2009 | Published: 09 Jun 2009

iovation, Inc.

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

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

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

As data grows, so do the risks: How to improve data and app sec
sponsored by IBM
WHITE PAPER: Access this resource for a cloud solution that uses a combination of hardware, software, and services with advanced technologies to ensure data and application security, while allowing you to focus on business priorities.
Posted: 06 Nov 2013 | Published: 30 Sep 2012

IBM

Evaluating the True Impact of Fraud on Financial Institution
sponsored by IBM
WHITE PAPER: This guide makes an effective business case for fraud-prevention technology and evaluates the true impact of fraud on various financial institutions.
Posted: 09 Apr 2014 | Published: 31 Dec 2013

IBM