Fraud detection software helps organizations identify and prevent fraudulent activity by analyzing transactions, user behavior, and system events in real time. It uses machine learning, pattern recognition, and rules-based logic to flag anomalies that may indicate scams, identity theft, or payment fraud. The software often includes alerting, case management, and reporting features to help investigators respond quickly and track incidents. Many solutions integrate with payment systems, CRM platforms, and security tools to provide comprehensive monitoring across channels. By detecting threats early and reducing false positives, fraud detection software protects revenue, reputation, and customer trust. Compare and read user reviews of the best Fraud Detection software for Freelancers currently available using the table below. This list is updated regularly.
Dun & Bradstreet
iDenfy
FUGU Risk
IPQualityScore
Preventor
TurnKey Lender
FraudLabs Pro
Sticky.io
Sensfrx
a neurocom company
Riskified
Stripe
MCP Insight
SHIELD
Greip
Imprint Analytics
Tirreno Technologies Sàrl
Simility
Oversight Systems
Information Active
LexisNexis
ThreatMark
TruNarrative
RISK IDENT
Zum Rails
Mozn
Pipl
MaxMind
Ravelin Technology
Shift Technology