SEON. Fraud Fighters Features
What are the features of SEON. Fraud Fighters?
Intelligence
- Transaction Scoring
- Risk Assessment
- Intelligence Reporting
Detection
- Fraud Detection
- Real-Time Monitoring
- Bot Mitigation
- Real-Time Monitoring
- Alerts
Response
- Device Tracking
- Fraud Markers
- Blacklisting
Analysis
- ID Analytics
Administration
- Fraud Markers
- Transaction Scoring
- Blacklisting
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SEON. Fraud Fighters Categories on G2
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Intelligence
Transaction Scoring | Based on 99 SEON. Fraud Fighters reviews and verified by the G2 Product R&D team. Rates each transaction's risk based on specific factors and their benchmarked scores. | 93% (Based on 99 reviews) | |
Risk Assessment | Based on 98 SEON. Fraud Fighters reviews and verified by the G2 Product R&D team. Flags suspicious transactions and either alerts administrators or declines transaction. | 91% (Based on 98 reviews) | |
Intelligence Reporting | Based on 93 SEON. Fraud Fighters reviews and verified by the G2 Product R&D team. Actively gathers data on suspicious purchasing sources and characteristics of common committers of fraud. | 89% (Based on 93 reviews) | |
ID Analytics | Based on 86 SEON. Fraud Fighters 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. | 90% (Based on 86 reviews) |
Detection
Fraud Detection | Based on 98 SEON. Fraud Fighters reviews and verified by the G2 Product R&D team. Finds patterns in common occurrences of fraud to use when evaluating risk of purchasers. | 91% (Based on 98 reviews) | |
Alerts | Based on 85 SEON. Fraud Fighters reviews and verified by the G2 Product R&D team. Alerts administrators when fraud is suspected or transactions have been declined. | 88% (Based on 85 reviews) | |
Real-Time Monitoring | Based on 89 SEON. Fraud Fighters reviews and verified by the G2 Product R&D team. Constantly monitors system to detect anomalies in real time. | 93% (Based on 89 reviews) | |
Bot Mitigation | Based on 112 SEON. Fraud Fighters reviews. Monitors for and rids systems of bots suspected of committing fraud. | 83% (Based on 112 reviews) | |
Real-Time Monitoring | Constantly monitors system to detect anomalies in real time. This feature was mentioned in 124 SEON. Fraud Fighters reviews. | 89% (Based on 124 reviews) | |
Alerts | As reported in 122 SEON. Fraud Fighters reviews. Alerts administrators when fraud is suspected or transactions have been declined. | 88% (Based on 122 reviews) |
Response
Device Tracking | Based on 95 SEON. Fraud Fighters reviews and verified by the G2 Product R&D team. Keeps records of geographic location and IP addresses of fraud suspects. | 90% (Based on 95 reviews) | |
Fraud Markers | Based on 96 SEON. Fraud Fighters reviews and verified by the G2 Product R&D team. Tags users suspected of committing fraud and identifies them upon return. | 90% (Based on 96 reviews) | |
Blacklisting | Based on 88 SEON. Fraud Fighters reviews and verified by the G2 Product R&D team. Prevents previous committers of fraud from future transactions. | 92% (Based on 88 reviews) | |
Bot Mitigation | Based on 80 SEON. Fraud Fighters reviews and verified by the G2 Product R&D team. Monitors for and rids systems of bots suspected of committing fraud. | 87% (Based on 80 reviews) |
Analysis
ID Analytics | Stores data from external or internal sources related to fake accounts, evaluating users for risk. 130 reviewers of SEON. Fraud Fighters have provided feedback on this feature. | 88% (Based on 130 reviews) |
Administration
Fraud Markers | Based on 138 SEON. Fraud Fighters reviews. Tags users suspected of committing fraud and identifies them upon return. | 89% (Based on 138 reviews) | |
Transaction Scoring | As reported in 138 SEON. Fraud Fighters reviews. Rates each transaction's risk based on specific factors and their benchmarked scores. | 90% (Based on 138 reviews) | |
Blacklisting | As reported in 133 SEON. Fraud Fighters reviews. Prevents previous committers of fraud from future transactions. | 90% (Based on 133 reviews) |
Fraud Detection
Name Matching | The solution uses intelligent algorithms like fuzzy matching to identify potential risks. | Not enough data | |
Watch List | Create watchlists that can include sanctions lists (e.g., Dow Jones, WorldCheck, WorldCompliance, and Accuity). | Not enough data | |
Scoring | Score persons and organizations based on their history and risk potential. | Not enough data | |
E-filing | Pool data from various sources to auto-populate e-filing of Suspicious Activity Report (SAR) or Currency Transaction Reports (CTR) forms. | Not enough data | |
Workflows and Alerts | Standard workflows to assign workload and to alert users based on predefined triggers. | Not enough data |
Compliance
Due Dilligence | Manage due dilligence processes such as Customer Due Diligence and Know Your Customer. | Not enough data | |
Regulations and Jurisdictions | Comply with regulations from multiple jurisdictions such as OFAC, UN, EU, OSFI, UK and AUSTRAC or FATCA. | Not enough data | |
Internal Policies | Compliance with fraud and risk management policies created by the company using the solution. | Not enough data |
Monitoring
Models | Create behavior models that can be used to detect suspicious behavior. | Not enough data | |
Simuation | Simulate and validate scenarios to address multiple types of risks. | Not enough data | |
Transaction Monitoring | Real-time transaction screening to immediately identify potential risks. | Not enough data | |
Segmentation | Allows users to segment and manage lists of suspicious persons and organizations. | Not enough data | |
QA | Evaluate the quality and performance of the anti-money laundering activities. | Not enough data |
Reporting
Compliance Reports | Ability to generate standard reports for compliance purposes such as FATCA/CRS, SARS/STR and SWIFT. | Not enough data | |
Suspicious Activity | Display suspicious activity by period, risk type, person or organization. | Not enough data | |
Real-Time Dashboards | Dashboards to provide real-time data on suspicious transactions, persons, or organizations. | Not enough data |