Fraud Detection Software Resources

Articles, Glossary Terms, Discussions, and Reports to expand your knowledge on Fraud Detection Software

Resource pages are designed to give you a cross-section of information we have on specific categories. You'll find articles from our experts, feature definitions, discussions from users like you, and reports from industry data.

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Fraud Detection Software Articles

AI in Fintech: Use Cases and Impact

Artificial intelligence (AI) has proven useful to financial services institutions in multiple ways. From detecting potentially fraudulent charges to automating complex credit and loan processes, AI-powered fintech has proven invaluable when it comes to internally engineering value for financial services institutions.

by Patrick Szakiel

Fraud Detection Software Glossary Terms

Fraud Detection

Fraud detection empowers businesses to detect and stop fraud, reducing the financial losses associated with such malicious activities. Learn more about fraud detection, its techniques, and best practices in this G2 guide.

by Amal Joby

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Technology Glossary

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Fraud Detection Software Discussions

Which is the most effective fraud detection software for e-commerce?

With online transactions rising, e-commerce brands are under more pressure than ever to catch fraud without disrupting the customer experience. There are plenty of tools out there—but finding one that balances accuracy, speed, and scalability can be a challenge.Here are some fraud prevention solutions that consistently receive high marks from e-commerce professionals:<a href="https://www.g2.com/products/sift-digital-trust-safety-sift/reviews" rel="noopener noreferrer" target="_blank" style="background-color: rgb(254, 254, 254); color: rgb(31, 95, 136);">Sift</a>Sift leverages real-time machine learning and global data patterns to help merchants flag suspicious behavior early. Its clean dashboard, event-level insights, and automated workflows make it a go-to option for businesses looking to scale securely.<a href="https://www.g2.com/products/seon-fraud-fighters/reviews" rel="noopener noreferrer" target="_blank" style="background-color: rgb(254, 254, 254); color: rgb(36, 111, 158);">SEON</a>Popular among growing online stores, SEON helps detect fraud through digital footprinting and risk scoring, using data like IP, device, and social presence. It’s lightweight, easy to implement, and doesn’t require a dedicated fraud team to get started.<a href="https://www.g2.com/products/riskified/reviews" rel="noopener noreferrer" target="_blank" style="background-color: rgb(254, 254, 254); color: rgb(36, 111, 158);">Riskified</a>Riskified focuses on maximizing order approval while minimizing chargebacks. It uses advanced models to detect threats and helps increase revenue by approving more legitimate transactions that might otherwise be flagged.<a href="https://www.g2.com/products/signifyd/reviews" rel="noopener noreferrer" target="_blank" style="background-color: rgb(254, 254, 254); color: rgb(36, 111, 158);">Signifyd</a>With end-to-end automation and a built-in guarantee against fraud losses, Signifyd offers peace of mind to e-commerce brands. It's especially useful for teams that want less manual review and more coverage for risky transactions.<a href="https://www.g2.com/products/kount/reviews" rel="noopener noreferrer" target="_blank" style="background-color: rgb(254, 254, 254); color: rgb(36, 111, 158);">Kount</a>Kount provides a customizable fraud prevention framework powered by AI and identity trust signals. It’s designed for both flexibility and control—making it a smart fit for online retailers with varying risk tolerance and customer bases.Want to compare more solutions? Check out real user feedback <a href="https://www.g2.com/categories/e-commerce-fraud-protection" rel="noopener noreferrer" target="_blank">here</a>.Would love to hear what others are using—especially if you’ve found a platform that balances protection and customer experience well.

I've had a good experience with Sift for e-commerce fraud detection. It’s been effective at catching suspicious activity early without blocking legitimate customers, and the real-time monitoring makes it easy to stay ahead of potential issues. Definitely worth considering if you're looking for something reliable and scalable.

Answered: Hayata Nakamura on June 3, 2025

Your answer

Question on: Ocrolus

Why are we unable to analyze brokerage/mutual funds account statements?

documents are rejected when uploaded for brokerage accounts/mutual fund accounts

Thank you for your feedback, Heather! We do support portfolio (brokerage/mutual fund) statements via our API, and are working to support those in our web application as well. This support includes net asset value of the account, as well as asset allocation across asset classes to help lenders verify cash deposits and assets. We do not support position (e.g. individual security) or fund-level itemization at this time.

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