Risk analytics illustration

Risk Analytics

Improve fraud prevention across multiple digital channels with a self-learning solution that uses machine learning and data modeling

Risk analytics illustration

Risk Analytics

Reduce fraud and achieve regulatory compliance while lowering costs

Drive Down Fraud Gray
Drive Down Fraud

Mitigate threats like account takeover, new account fraud, and mobile fraud in real time 

Compliance gray
Meet Strict Regulatory Requirements

Address requirements such as PSD2 with real-time monitoring of transaction risks

Customer experience gray
Improve Customer Experience

Increase customer loyalty and retention with fewer false positives

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Increase Visibility Across Digital Channels

Proactively protect against digital banking fraud and mobile fraud

Cost reduction gray
Reduce Operational Costs

Reduce manual reviews and operational costs with intelligent automation and highly accurate risk scoring

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Choose How You Want To Deploy

Deploy Risk Analytics on-premises or as a cloud service

How it Works

Reduce fraud, achieve regulatory compliance, and drive revenue growth

Modernize your existing fraud solution with OneSpan Risk Analytics. Risk Analytics analyzes vast amounts of mobile, application, and transaction data in real time to detect known and emerging fraud in the online and mobile banking channels. This includes:

  • Account takeover
  • New account fraud
  • Mobile fraud
  • Digital banking fraud
Drive Down Fraud

Combat threats like account takeover, new account fraud, and mobile fraud

The faster financial payments are made, the faster fraud takes place. OneSpan Risk Analytics leverages the latest machine learning and sophisticated data modeling. It analyzes data in real time to produce a transaction risk score. The risk score can then drive intelligent workflows that trigger immediate action based on pre-defined and/or customer-defined security policies and rules. 

The combination of intelligent automation and risk scoring streamlines processes and helps prevent account takeover, new account fraud, and mobile fraud.

Meet Strict Regulatory Requirements

Address compliance requirements with real-time monitoring of transaction risks

Meet PSD2 requirements by ensuring that transaction monitoring mechanisms take into account a number of risk-based factors, including:

  • A list of compromised data
  • Known fraud scenarios
  • Malware infection detection
  • Transaction amount
  • Device/software access 

By implementing measures to perform real-time monitoring of transactional risks, recognizing known fraud scenarios, and identifying suspicious payees, your organization can add value to your existing fraud solution, achieve compliance, and better protect customers.

Improve Customer Experience

Increase customer loyalty and retention with fewer false positives

Leverage the latest machine learning and data modeling to gain the most accurate predictions of risk and fraud. Risk Analytics can proactively identify and prioritize fraudulent transactions for fraud analysts to review. This ultimately provides a better user experience through fewer false positives and supports top-line growth through increased customer loyalty and retention.

Increase Visibility Across Digital Channels

Proactively protect against digital banking fraud and mobile fraud

When fighting fraud, it is important to take a multi-channel approach because fraudsters can attack multiple channels simultaneously when trying to make the most of the stolen data they possess. 

That is why OneSpan Risk Analytics gathers data related to users, actions, and devices – from all digital channels. By continuously analyzing and scoring data across the online and mobile channels, Risk Analytics creates a comprehensive picture of user actions before, during, and after the banking session. Through machine learning, Risk Analytics can then spot anomalies in user behavior, identify risk, and take immediate action.

Reduce Operational Costs

Faster fraud prevention through intelligent automation and accurate risk scoring

OneSpan’s Risk Analytics leverages a machine learning, risk-based analytics engine that automatically identifies and prioritizes the highest risk transactions, thereby allowing fraud analysts to concentrate on the riskiest transactions first.

In addition, your organization can combine your existing fraud management solution with Risk Analytics’ intelligent automation and modern risk engine to increase operational efficiencies and reduce digital banking fraud.

Choose How You Want To Deploy

Deploy Risk Analytics as a cloud service or on-premises

With OneSpan Risk Analytics, you have the flexibility to choose the best deployment option for your organization. 

  • Risk Analytics benefits 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. In addition, you can cost effectively integrate Risk Analytics to improve fraud prevention and reduce operational costs.
  • OneSpan’s on-premises solution leverages your existing hardware infrastructure, resources, and security processes. By deploying into your on-premises infrastructure, your organization can reduce fraud and strengthen compliance while maximizing existing capital expenditures.

Get started with OneSpan Risk Analytics

OneSpan can help you to reduce fraud, achieve regulatory compliance, and improve the customer experience