Lock out payment fraud and protect your business with continuous risk assessment.
With payment fraud at unprecedented levels, protecting your financial institution is more important than ever. With all of the interaction points that must be supported for customers, having a continuous risk assessment solution that looks across channels and payment types to protect your revenue and your reputation, is critical.
Secure Payments for Commercial Banking provides real-time cross-channel protection for a variety of payment types. Leveraging intelligent machine learning, predictive analytics and rich visualization and forensic tools, this market-proven solution reduces your institution's risk profile and increases the efficiency of your staff. Used by some of the largest financial institutions in the world, it is pre-integrated with Bottomline’s market-leading payments and cash management platforms for quick activation.
True cross-channel protection across customer engagement channels and systems
Prevents payment fraud immediately through transaction blocking options
Uses intelligent machine learning, rules based detection and behavior profiling for deep layered security that reduces fraud risk and decreases false positives while also highlighting the most important alerts
Quickly detects suspicious activity through real-time behavioral monitoring of all user types
Speeds investigative activity through search and replay capabilities
Rapid activation via pre-integration with Bottomline’s payments and cash management solutions
Bottomline’s Cyber Fraud and Risk Management enables financial institutions to reduce risk, prevent fraud and meet regulatory compliance requirements.
Bottomline Secure Payments for Digital Banking locks out payment fraud while maintaining a positive customer experience by factoring in the risk context for any payment account or transaction. It protects with continuous risk assessment of all customer interaction channels, while providing advanced analytics of user behavior and transaction flows, through advanced machine learning.
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