A self-learning solution that helps stop fraud across multiple digital channels
New Cloud-Based Offering
Fraud is a multi-billion dollar problem for financial institutions (FIs) around the world. Fighting fraud through risk analytics has become a top priority as new and increasingly sophisticated fraud schemes aggressively target online and mobile banking. Keeping up becomes even more challenging as traditional fraud tools are losing ground fast – exposing FIs to higher risk of fraud.
OneSpan Risk Analytics helps financial institutions combat fraud, faster. This solution detects known and emerging fraud across digital channels. Powered by machine learning, it analyzes vast amounts of user, device, and transaction data in real time to provide the most comprehensive risk assessment.
Reduce fraud and achieve regulatory compliance, while lowering costs
Drive Down Fraud
Helps prevent threats like account takeover, new account fraud, and mobile fraud with a real-time, machine learning risk analytics engine
Meet Strict Regulatory Requirements
Address compliance requirements, such as PSD2, with real-time monitoring of transaction risks
Increase Visibility Across Digital Channels
Proactively protect against online banking fraud and mobile fraud
Deploy Risk Analytics on-premises or as a cloud service
Reduce Operational Costs
Faster fraud prevention reduces manual reviews and lowers operational costs with intelligent automation and highly accurate risk scoring
Improve Customer Experience
Increase customer loyalty and retention with fewer false positives
How It Works
OneSpan Risk Analytics analyzes vast mobile, application, and transaction data in real time to detect known and emerging fraud in the online banking and mobile banking channels, including:
- Account takeover
- New account fraud
- Mobile fraud
- Digital banking fraud
A modern fraud detection solution, the way you want it
Benefit from the flexibility and cost effectiveness of the cloud. Reduce hardware and infrastructure maintenance costs, while leveraging your security controls to comply with your organization’s security policies. Cost effectively integrate cloud-based Risk Analytics into your organization to improve fraud prevention and reduce operational costs.
Leverage your existing hardware infrastructure, resources, and security processes. Deploy Risk Analytics into your existing on-premises infrastructure to reduce fraud and strengthen regulatory compliance across your digital channels (i.e., mobile banking and online banking).
Reduce fraud, achieve regulatory compliance, and drive revenue growth with risk-based analytics and machine learning
Risk Analytics collects and analyzes:
- Device data
- Cross-channel behavior
- Historical account activity
- Financial and third-party application data
To determine the risk associated with each financial transaction, Risk Analytics analyzes and scores a vast amount of user, device, and transaction data points across multiple digital channels in real time.
Based on the risk score, Risk Analytics automatically takes the appropriate action:
- Allow a transaction
- Review a transaction
- Block a transaction