PaymentGuard delivers real-time, AI-powered fraud detection across all payment channels to protect financial institutions from evolving threats and reduce losses.
Vendor
Eastnets
Company Website
PaymentGuard is a comprehensive solution designed to combat the increasing sophistication and prevalence of payment fraud. It provides real-time fraud detection capabilities across all payment channels, including SWIFT networks and open banking, leveraging advanced AI, machine learning, and continuous monitoring. This allows institutions to identify and stop threats proactively before they can impact the organization, significantly reducing financial losses and protecting brand reputation. Unlike traditional rule-based systems that struggle with evolving tactics and often generate false positives, PaymentGuard's AI models learn from past behavior and analyze customer data to detect anomalous activities and novel fraud techniques. This intelligent approach leads to fewer false alarms, allowing fraud teams to focus on genuine threats and improving overall operational efficiency. The system seamlessly integrates with existing infrastructure, minimizing disruption and risk, while enhancing fraud detection rates across all payment networks and channels. PaymentGuard also streamlines regulatory compliance processes, aligning with frameworks like the PSD2 Directive and providing ongoing monitoring and documentation of fraud prevention activities. This reduces the operational burden of compliance management and reporting, ensuring due diligence while freeing up teams to focus on core security priorities. It offers a multi-layered defense strategy specifically built for financial institutions, ensuring protection against both known and emerging threats.
Features & Benefits
- Real-time, Multi-channel Fraud Detection
- Continuously monitors and analyzes payment activity across all channels (cross-border, domestic, SWIFT, open banking) to intercept suspicious transactions immediately, minimizing downtime and financial losses.
- AI-driven Machine Learning Models
- Utilizes AI and machine learning to detect both known threats and novel fraud techniques by learning from historical cases and analyzing customer behavior for anomalous patterns, ensuring continuous protection.
- Comprehensive Fraud Investigation Tools
- Streamlines fraud response workflows with intuitive dashboards, easy-to-use case management tools, and link analysis to identify connections between customers and simplify fraud ring detection, expediting investigations.
- SWIFT CSP Integration
- Detects and intercepts fraudulent SWIFT payments in real-time, ensuring compliance with the SWIFT Customer Security Program (CSP) transaction controls and protecting against cyber attacks through SWIFT interfaces.
- Customizable Transaction Risk Scoring
- Allows institutions to set their own risk score thresholds and customize real-time automatic responses to fraud, aligning risk assessment with specific needs and regulatory requirements.
- Operational Efficiency & Cost Reduction
- Reduces financial losses, manual workload, and false positives through automated detection and smarter AI, leading to savings in time, resources, and expenses, while protecting brand reputation.
- Regulatory Compliance & Standards Alignment
- Built to align with key regulatory frameworks like the PSD2 Directive, streamlining compliance with ongoing monitoring and documentation of fraud prevention activities without manual updates.