Learn how to protect against increasing fraud schemes with AI and machine learning tools.
Insights for Fraud, Risk, and Compliance Professionals | Hi Friend, As the new year approaches, safeguarding against fraud, cyber threats, and conflicts becomes crucial. To support your business through these challenges, we've compiled resources: - An eBook focusing on preventing mobile payment fraud in anticipation of the new year.
- Informative blogs covering transaction monitoring, generative AI, and card fraud.
- And more valuable content.
We hope these help you meet your fraud prevention goals! Furthermore, we're thrilled to share that Fraud.net has been honored with a Stevie Award for Women in Business! Find out more about this achievement below. Thank you, Fraud.net | eBook: Take These Steps to Prevent Mobile Payments Fraud | Are you prepared for mobile payments fraud?
Whether it's investing, money transfers, or digital payment processing, billions of dollars funneled through mobile devices create an attractive target for cyber-criminals.
With mobile and contactless payment transaction values expected to triple from $2 trillion in 2020 to $6 trillion in 2024, your fraud management needs to account for this type of popular transaction. In this free eBook, learn: - What mobile payments are.
- The fraud associated with mobile, contactless payments.
- 4 steps to protect your business.
- And more.
| Cathy Ross wins Stevie Award for Thought Leadership | Fraud.net proudly announces the victory of Cathy Ross, its Co-founder and President, as the recipient of a Stevie® Award for Thought Leadership in the 20th Stevie Awards for Women in Business. This marks Ross's second win, following her 2021 win in the same category. Learn more and read her statement on the win. | Transaction Monitoring for Risk Management | Transaction monitoring is a required activity, yet, businesses frequently express frustration with existing approaches. Fortunately, there are new tools that can overcome the deficiencies of their predecessors, such as machine learning and AI. | A Review of Emerging Generative AI Regulation | Generative AI has gained significant attention and is anticipated to become one of the most regulated technologies. With AI tools quickly becoming more popular, companies should pay attention to how their governments choose to regulate this technology. | Card-Not-Present Fraud: Prevention Strategies | Card-not-present (CNP) fraud is expected to make up 73% of card payment fraud losses, and cost companies roughly $40 billion annually. Here are some of the latest prevention strategies and tools you can use to mitigate this risk. | Anti-Money Laundering (AML) is aimed at preventing individuals and organizations from concealing the origins of illegally obtained money. Learn the common tools and strategies for anti-money laundering, as well as how Fraud.net can tailor a solution to meet your specific AML needs: | Want to know what's happening with Fraud.net's product stack, including new AppStore vendors, APIs, and fixes? Read our release notes, typically updated monthly. | Award-winning, end-to-end customizable fraud prevention for enterprises at every point in the customer journey, including application verification and transaction monitoring. Learn how we reduce fraud by 80% for enterprises globally. | Discuss your fraud prevention needs with our solutions team today: | Fraud.net (866) 971 - 2030 1740 Broadway, New York, NY 10019 | |
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