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: Sift
How does Sift help detect and prevent account takeover attempts?
How does Sift help detect and prevent account takeover attempts?
Sift’s Account Defense solution helps businesses detect and prevent account takeover by analyzing login and account activity with AI-powered insights, real-time behavioral analysis, and device fingerprinting. Sift evaluates signals such as unusual locations, new and unknown device fingerprints, profile changes, anomalous behavior, login velocity, password and email changes, scripted attacks, and travel distance between sessions.
Sift goes beyond a single login check with robust MFA capabilities, continuous monitoring after login, and precise friction at the session level. Low-code integrations with identity tools help teams strengthen account protection without rebuilding their stack.
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How does Sift help businesses protect the full customer journey from fraud?
Sift protects the full customer journey rather than a single fraud moment in isolation. The Sift platform spans account creation, login, transaction and payment risk, and post-transaction review, with connected data and decisioning across each stage.
Sift unifies a global data network, real-time risk scoring, identity-centric insights, flexible decisioning, investigation, and reporting tools in one system. That gives teams one place to evaluate risk, automate decisions, investigate cases, and improve performance over time.
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How does Sift help reduce friction for trusted users while maintaining security?
Sift reduces friction for trusted users by applying the right level of intervention based on risk. As users move through the journey, Sift evaluates each interaction in real time, introduces additional authentication only when risk crosses a threshold, and lets trusted users move forward with less interruption.
Sift applies precise, risk-based friction rather than blanket authentication. Account Defense combines robust MFA, continuous monitoring after login, and session-level control to help teams respond appropriately across the user journey. The result is lower manual review, less unnecessary authentication, and better customer experience without giving up protection.
Fraud Detection Software Reports
Mid-Market Grid® Report for Fraud Detection
Fall 2026
G2 Report: Grid® Report
Grid® Report for Fraud Detection
Fall 2026
G2 Report: Grid® Report
Enterprise Grid® Report for Fraud Detection
Fall 2026
G2 Report: Grid® Report
Momentum Grid® Report for Fraud Detection
Fall 2026
G2 Report: Momentum Grid® Report
Small-Business Grid® Report for Fraud Detection
Fall 2026
G2 Report: Grid® Report
Enterprise Grid® Report for Fraud Detection
Summer 2026
G2 Report: Grid® Report
Small-Business Grid® Report for Fraud Detection
Summer 2026
G2 Report: Grid® Report
Mid-Market Grid® Report for Fraud Detection
Summer 2026
G2 Report: Grid® Report
Grid® Report for Fraud Detection
Summer 2026
G2 Report: Grid® Report
Momentum Grid® Report for Fraud Detection
Summer 2026
G2 Report: Momentum Grid® Report


