Anti-money laundering.
Protection against fraud
and crimes
Bottomline's CFRM solution
Legal compliance
to possible billing risk and automation of suspicious activity reporting.
It is fast, flexible and easy to expand with relatively low system complexity.
Reduce operational riskand prevent fraud
Benefits
of suspicious money laundering activities thanks to real-time alerts and monitoring activity on customer accounts.
Features
- Monitoring the behavior of customers, employees and other entities.
- Profiling and alerting based on behavioral patterns and dynamic risk assessment.
- Integrated sanction list management, including integration with third party lists, support for custom lists.
- Visual mapping of connections between suspicious activities and users according to a series of variables with link analysis.
- Automated identification and handling of cases requiring suspicious activity reporting (SAR).
Protect Payments in various applications, channels and types of payment
Safe payments
Secure Payments modules
CFRM Secure Payments secures all types of payments, regardless of the applications used and the channels through which the payments are made. Thanks to the advanced analysis of user behavior and the exploration of transaction flows with the use of machine learning, the risk related to financial frauds is reduced.
Benefits
Features
- It supports a wide range of applications (banking platforms, payment centers, service offices, TMS, ERP) channels (online and offline) and payment types (ACH, Bacs, Bill Pay, Check, Fedwire, FileAct, ISO 20022, SEPA, SIC4).
- It intelligently profiles user activity on each account, detects deviations and notifies you in real time about suspicious activity.
- It detects fraudulent payments in real time and blocks payments from being made.
- It uses intelligent machine learning, rule-based detection, and behavioral profiling to provide multi-layered security that reduces the risk of fraud and false positives.
- Comprehensive investigation center allows forensic analysts to easily adjust scoring parameters, calculation methods and alert thresholds Fully integrates with other Bottomline secure payment solutions (e.g. Secure Payment for SWIFT) to create an excellent fraud detection environment.
Detecting Internal Abuses
An intelligent platform based on real-time user behavior analysis and machine learning.
Identify quickly and stop suspicious user activity thanks to in-depth analysis.
Benefits
the activity of all users, including privileged IT users,
with visual reproduction of each screen.
Features
- Detects internal fraud, employee account hijacking and data leakage.
- Real-time network security monitoring.
- Captures a detailed audit trail of user behavior with visual reproduction of each screen in core business applications.
- Analytical engine with intelligent machine learning and statistical profiling of users and comparison groups.
- Correlates alerts with predictive risk scores.
- Perfect for cases of employee abuse or the seizure of credentials.
Fight quickly against intricate money-laundering attempts to better meet regulatory requirements.
Anti-money laundering (AML) transaction monitoring
The Anti-Money Laundering Transaction Monitoring module enables organizations to efficiently and accurately monitor financial transactions for suspicious activity, establish risk profiles, generate alerts and all necessary reports on regulatory requirements.
Benefits
of relationships between individuals and groups, allowing you to quickly spot suspicious activity.
Risk management
and compatibility
CFRM Sanctions Screening allows institutions to confidentially filter transactions against global sanction lists to ensure regulatory compliance. The solution aligns customers and transactions with internal and imported sanction lists (OFAC, FATF, NCCT, PEP, etc.) using advanced analysis and techniques to reduce risk and reduce false positives.
Reduce your risk and increase the trust of the organization to comply with sanctions and anti-money laundering laws.
Benefits
Higher efficiency by intelligently detecting direct and indirect links between accounts and customers.