Fraud.net Features

Based on 16 Fraud.net reviews and verified by the G2 Product R&D team. Rates each transaction's risk based on specific factors and their benchmarked scores.

Based on 18 Fraud.net reviews and verified by the G2 Product R&D team. Flags suspicious transactions and either alerts administrators or declines transaction.

Based on 16 Fraud.net reviews and verified by the G2 Product R&D team. Actively gathers data on suspicious purchasing sources and characteristics of common committers of fraud.

Based on 15 Fraud.net reviews and verified by the G2 Product R&D team. Stores data from external or internal sources related to fake accounts, evaluating users for risk.

Based on 19 Fraud.net reviews and verified by the G2 Product R&D team. Finds patterns in common occurrences of fraud to use when evaluating risk of purchasers.

Based on 17 Fraud.net reviews and verified by the G2 Product R&D team. Alerts administrators when fraud is suspected or transactions have been declined.

Based on 17 Fraud.net reviews and verified by the G2 Product R&D team. Constantly monitors system to detect anomalies in real time.

Requires verification of credit card, debit card, and money transfers prior to accepting payments

Monitors for and rids systems of bots suspected of committing fraud.

Constantly monitors system to detect anomalies in real time. This feature was mentioned in 13 Fraud.net reviews.

Alerts administrators when fraud is suspected or transactions have been declined. This feature was mentioned in 11 Fraud.net reviews.

Based on 13 Fraud.net reviews and verified by the G2 Product R&D team. Keeps records of geographic location and IP addresses of fraud suspects.

Based on 14 Fraud.net reviews and verified by the G2 Product R&D team. Tags users suspected of committing fraud and identifies them upon return.

Based on 14 Fraud.net reviews and verified by the G2 Product R&D team. Prevents previous committers of fraud from future transactions.

Based on 11 Fraud.net reviews and verified by the G2 Product R&D team. Monitors for and rids systems of bots suspected of committing fraud.

Stores data from external or internal sources related to fake accounts, evaluating users for risk.

Actively gathers data on suspicious purchasing sources and characteristics of common committers of fraud.

Produces reports detailing trends and vulnerabilities related to payments and fraud.

As reported in 11 Fraud.net reviews. Tags users suspected of committing fraud and identifies them upon return.

As reported in 12 Fraud.net reviews. Rates each transaction's risk based on specific factors and their benchmarked scores.

Prevents previous committers of fraud from future transactions. This feature was mentioned in 13 Fraud.net reviews.

The solution uses intelligent algorithms like fuzzy matching to identify potential risks.

Create watchlists that can include sanctions lists (e.g., Dow Jones, WorldCheck, WorldCompliance, and Accuity).

Score persons and organizations based on their history and risk potential.

Pool data from various sources to auto-populate e-filing of Suspicious Activity Report (SAR) or Currency Transaction Reports (CTR) forms.

Standard workflows to assign workload and to alert users based on predefined triggers.

Manage due dilligence processes such as Customer Due Diligence and Know Your Customer.

Comply with regulations from multiple jurisdictions such as OFAC, UN, EU, OSFI, UK and AUSTRAC or FATCA.

Compliance with fraud and risk management policies created by the company using the solution.

Create behavior models that can be used to detect suspicious behavior.

Simulate and validate scenarios to address multiple types of risks.

Real-time transaction screening to immediately identify potential risks.

Allows users to segment and manage lists of suspicious persons and organizations.

Evaluate the quality and performance of the anti-money laundering activities.

Ability to generate standard reports for compliance purposes such as FATCA/CRS, SARS/STR and SWIFT.

Display suspicious activity by period, risk type, person or organization.

Dashboards to provide real-time data on suspicious transactions, persons, or organizations.

Has integreated AI features to assess and assign risk scores to transactions and customer profiles, enabling prioritized investigations based on potential threat levels.

Uses AI algorithms to identify complex patterns and anomalies in transaction data that may indicate money laundering.

Improves performance based on feedback and experience

Makes informed choices based on available data and objectives

Works across multiple software systems or databases

Improves performance based on feedback and experience

Makes informed choices based on available data and objectives

Monitors both incoming and outgoing payments to detect fraud, such as fake payees, bank accounts, or unathorized users.

Reviews every transaction in real‑time using rules, pre-defined criteria or a combination of signals to block, flag, or allow transactions.

Allows configuring custom rules/thresholds and adjusting sensitivity for different types of transactions.

Uses documents, biometrics, or device fingerprinting to verify that a user is who they claim to be.

Detects unusual login or credential usage and requires additional authentication when a risk is present.

Builds behavioral baselines to detect deviations in transactions and device usage.

Monitors and blocks automated fraud bots, such as creating fake accounts.

Tracks actions of users, rule changes, and other system events in secure logs

Generates customlizable reports for regulatory requirements and ongoing compliance.