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.
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
Explore our Technology Glossary
Browse through dozens of terms to better understand the products you purchase and use everyday.
Fraud Detection Software Discussions
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Question on: ThreatMark
How Does ThreatMark's Solution compare to traditional FDSHow Does ThreatMark's Solution compare to traditional FDS
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Traditional FDS solutions usually consist of various modules (anti-money laundering, case management, fraud network analysis and others). While their functionality in terms of data mining, case management and tuning outmatches ThreatMark’s, the implementation is much more complex and time-consuming.
Traditional solutions are also more difficult to use and require ample internal resources to keep the system optimized. Most importantly, the majority of these solutions rely on signatures and take only transactions into account. For modern threats such as zero-day attacks, social engineering, account and session takeover or man-in-the-browser attacks, this approach is not sufficient. Also it is unable to detect financial malware on users’ devices.
Traditional solutions do not collect behavioral biometrics, either, so there is a limit to their detection rate and number of false positives. Some can analyze certain changes in user behavior, but they do so in a simplified way so it can be easily bypassed by fraudsters in the following ways:
(1) Fraudsters can familiarize a traditional fraud detection system with their devices. They may log in several times from their devices and perform low-risk actions. Eventually, when a fraudulent transfer is initiated, the device and the behavior are not identified as suspicious.
(2) Hackers can use a victim’s device to perform a fraudulent transaction. They may use malware that gives them remote access to a victim’s device and mimic their spending behavior, for example, transfer similar amounts of money.
(3) Fraudsters can use automatic scripts. Malware injects the script into a victim’s session after login, and transfer money to a predefined mule account in the background. The method eliminates the need to steal credentials and access the victim’s account remotely.
ThreatMark AFS has been designed to replace traditional analytical platforms that are not flexible and fast enough to react to emerging threats.
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Question on: Bolt
How do you handle chargebacks? Is there a fee?How do you handle chargebacks? Is there a fee?
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Bolt will fully cover 100% of fraud-related chargeback costs chargebacks. Fraud-related chargebacks are chargebacks where the card owner claims they never authorized the transaction and their card was stolen. Businesses are still responsible for non-fraud-related chargebacks (damaged goods, goods not received, unhappy customers, product not as described, friendly fraud, etc.)
Our full chargeback terms are located here: https://bolt.com/chargeback-terms
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Question on: Bolt
How does Bolt handle security?How does Bolt handle security?
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Bolt’s checkout is fully PCI-DSS compliant, meaning all payment information and cardholder data processed through our platform is encrypted and meets proper compliance standards.
For more information on how Bolt works to protect our merchant and consumers at all times, visit: https://www.bolt.com/security/.
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Fraud Detection Software Reports
Mid-Market Grid® Report for Fraud Detection
Spring 2026
G2 Report: Grid® Report
Grid® Report for Fraud Detection
Spring 2026
G2 Report: Grid® Report
Enterprise Grid® Report for Fraud Detection
Spring 2026
G2 Report: Grid® Report
Momentum Grid® Report for Fraud Detection
Spring 2026
G2 Report: Momentum Grid® Report
Small-Business Grid® Report for Fraud Detection
Spring 2026
G2 Report: Grid® Report
Enterprise Grid® Report for Fraud Detection
Winter 2026
G2 Report: Grid® Report
Small-Business Grid® Report for Fraud Detection
Winter 2026
G2 Report: Grid® Report
Mid-Market Grid® Report for Fraud Detection
Winter 2026
G2 Report: Grid® Report
Grid® Report for Fraud Detection
Winter 2026
G2 Report: Grid® Report
Momentum Grid® Report for Fraud Detection
Winter 2026
G2 Report: Momentum Grid® Report


