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4 Results

Sift logo

Sift

Top Rated

Digital trust and safety platform. Payment fraud, account takeover, content abuse.

Payment fraudAccount securityContent moderationML-powered
4.4(920)
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Forter logo

Forter

E-commerce fraud prevention. Real-time decisions with chargeback guarantee.

Real-timeChargeback guaranteeIdentity networkAutomation
4.5(580)
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Kount logo

Kount

AI-driven fraud prevention from Equifax. Identity trust across channels.

AI/MLIdentity trustChargeback preventionAnalytics
4.3(680)
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Sardine logo

Sardine

Fraud prevention for fintech. Device intelligence and behavior biometrics.

Device intelligenceBehavior biometricsAMLReal-time
4.6(180)
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By Misha Catalano, Founder & Lead Software AnalystLast reviewed May 2026
Data verified May 2026

What is Fraud Detection Software?

Fraud detection software uses machine learning, rule engines, and behavioral analytics to identify and prevent fraudulent transactions, accounts, and activities in real-time. These platforms protect businesses across financial services, e-commerce, insurance, and digital services from fraud losses including payment fraud, account takeover, identity theft, and application fraud. Modern systems analyze hundreds of data points per transaction — device fingerprints, behavioral biometrics, velocity patterns, geographic anomalies, and network relationships — to score fraud risk in milliseconds. They balance fraud prevention with customer friction, aiming to block bad actors while approving legitimate transactions seamlessly. As fraud schemes become more sophisticated, AI-driven detection has replaced static rule-based approaches.

Key Features to Look For

Real-Time Scoring

Score transactions for fraud risk in milliseconds using ML models analyzing hundreds of data signals.

Behavioral Analytics

Detect anomalous user behavior patterns including mouse movements, typing cadence, and navigation paths.

Device Fingerprinting

Identify devices across sessions to detect account sharing, emulation, and suspicious device patterns.

Rule Engine

Create custom rules for velocity limits, geographic restrictions, and business-specific fraud patterns.

Case Management

Queue suspicious transactions for manual review with investigation tools and decision tracking.

Network Analysis

Identify fraud rings by analyzing connections between accounts, devices, addresses, and payment methods.

How Much Does Fraud Detection Cost?

Stripe Radar is included with Stripe processing (2.9% + $0.30). Sift starts at $0.01 per decision. Forter uses custom pricing. Kount (Equifax) uses custom pricing. Riskified charges per approved transaction. Signifyd offers guaranteed fraud protection from 1% of GMV. SEON starts at $299/month. Sardine uses custom pricing. Most e-commerce businesses spend 0.5-2% of transaction volume on fraud prevention.

Frequently Asked Questions

How We Evaluate Fraud Detection

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