Reno Secure

Today’s payments eco-systems are growing exponentially in both size and complexity. More payment transactions are conducted online than ever before - using more consumer payment methods than ever before - intensifying the importance of effective risk management.

Reno-Secure is a cloud-native risk detection and management solution that offers issuers and acquirers the chance to avert risks, learn, and ultimately improve their business risk management strategy. It uses a sophisticated analytics engine combined with machine learning techniques to detect and identify fraudulent patterns and trends. Its superior analytical capability integrated with users payment engine provides an accurate and real-time

detection and prevention of fraud early in the payments cycle, minimising the risk of losses.

Reno-Secure ensures fraud detection uses all the available techniques and does not limit users to a restricted set of options. Specifically, rules, neural networks, decision trees and Bayesian techniques can all be managed simultaneously.

Reno-Secure’s state-of-the-art payment risk management architecture enables it to adapt, integrate and seamlessly operates in any payment environment. It offers the capability to precisely and effectively monitor and evaluate real-time authorisations and transactions for issuers, acquirers, PSPs, ISOs and merchants.

Key Benefits

Intelligent resource allocation

Reno-Secure screens and segregates incoming transaction traffic, allowing you to prioritise resources according to the type of payment instrument. This allows users to focus on risk areas with the greatest exposure.

Minimise risk exposure

Reduce your exposure to risk using Reno-Secure’s highly adaptive risk detection search capability; respond to and identify trends and emerging business threats quickly and deploy new rules based on real-world insights.

Resource efficiencies

Reno-Secure’s automate risk management maximises your Return on Investment by automatically managing and responding to different types of threat. Fully automate actions based on the outcomes of rules or manage events through customer services with automated workflows.

Create customer confidence

Maintain strong customer relationships by demonstrating the awareness and detection of risks through real, near-real, and big data analysis and effectively combating threats to successful transaction management.

Improved risk strategy

Define your risk detection goals with Reno-Secure and incrementally improve your risk management strategy with a system of machine learning, insight, and rule development, enabling you to offer risk detection based around specific business requirements.

Complete control

Reno-Secures allows you to create rules and make your own decisions, putting the power of effective risk management in your hands. The only dependency is how much processing power you deem necessary.

Latest advances in AI

Machine Learning takes advantage of multiple frameworks at the same time – ensuring the latest advances in this fast-moving area can be utilised and put to work as soon as they are released, without impacting existing strategies.

Product highlights

Product modules

Reno-Secure can be extended and tailored for specific needs using a variety of add-on modules including:

Issuer Suite

The Issuer Suite includes risk detection rules and learning algorithms ideally suited to card issuers. Three different levels of risk detection are available based on the speed of the processing i.e. real-time detection, near real-time detection, and big data analytics. These modules can be deployed individually or together depending on the customer’s risk strategies and objectives.

Merchant Acquirer Suite

The Merchant Acquirer Suite includes risk detection rules and learning algorithms that are ideally suited to Merchant Acquirers. Three different levels of risk detection are available based on the speed of the processing i.e. real-time detection, near real-time detection, and big data analytics. These modules can be deployed individually or together depending on the customer’s risk strategies and objectives.

Risk Detection Rules

Three different modules of risk detection are available based on the speed of the processing i.e. real-time detection, near real-time detection, and big data analytics. These modules can be deployed individually or together depending on the customer’s risk strategies and objectives.

Rules Evaluation Sandbox

The rules Evaluation Sandbox provides an integrated and controlled environment for the evaluation of new rules and learning algorithms prior to deploying them into a production environment.

Fraud Evaluation Case Manager

The Fraud Evaluation Case Manager is a business process management subsystem with predefined processes for the evaluation of alerted transactions to identify and mark the genuine fraud transactions. The business processes are extensible by the customer for their specific needs.

Data Analytics Framework

The data analytics framework consists of an analytics database, powerful search capabilities, and dashboard creation tools that can be used to research fraud trends and visualise current and historic fraud activity as a foundation for continued fraud detection improvement.

Other Products