Network Intelligence

Distribute, exchange, and consume risk signals

Improve your fraud prevention strategies with network intelligence. ACI’s proprietary network intelligence technology allows banks, processors, acquirers and networks to securely share and consume industry-wide fraud signals to feed their machine learning models alongside proprietary data

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A city street crossing seen from above, there is blur from the cars rushing past.

Leverage flexible consortium data
Choose which fraud signals to apply to your models, with real-time signal sharing across the network

Enrich your current fraud strategy
Choose which signals to adopt and how to apply them to your fraud strategy

Respond to real time threats
Gain faster access to macro trends insight to update models in real-time

Network Intelligence for Banks, Processors and Acquirers

Network collaboration for improved fraud prevention

Increasing digital payment volumes and types creates increasing fraud volumes and attack vectors. Financial institutions need to collaborate to develop macro insights and beat the fraudsters with valid models that are weighted appropriately across all parties.

Consume, distribute and exchange secure fraud signals without exposing raw data with ACI’s best-in-class fraud management

Maintain the strength of custom, proprietary signals and complement with community exchanged signals

Choose your adopted model insights and which contribute to community findings

Leverage transparent, individual signals rather than a single opaque model

Understand localized threats before they become endemic

Incorporate signals from third-party fraud intelligence sources

Create informative and meaningful data features, focused on individual requirements

Fight fraud in a real-time world with cross-industry collaboration

Powering award-winning network intelligence technology

ACI Worldwide was awarded Best Wow Insight from Data at the Fintech Finance Awards for using data to bring best-in-class fraud management to financial institutions of all sizes.

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Leverage machine learning insights effectively

Machine learning insight is only as strong as the data it receives. Systems must be supplied with the widest possible view of risk in real time. This necessitates access to internal and external data.

Incorporate community data into machine learning model training and risk analysis

Consume community fraud signals in real time to instantly improve models

Integrate proven model features into adaptive machine learning strategies

Leverage a hybrid approach with model creation and risk scoring

Leverage an intuitive UI for validation, and automatically apply community contributions for accelerated time to value

Network intelligence is the future of machine learning fraud prevention

Democratize Machine Learning

Combine and Create

Analyze and Refine

Sustain and Benchmark

Take machine learning to a tactical level in a faster and unlimited manner. ACI’s model generator puts the power back into the hands of the business.

Create models as needed and focus on multiple channels and typologies
Define coverage metrics and select candidate features with automated analytics and results in publishing
Leverage your existing data and resources to convert raw data into adaptive, relevant features
Form scoring model foundations easily with a fully integrated and intuitive dashboard interface

Turn Complexity Into Simplicity

Adjust models in real time to pinpoint assertive and strong fraud signals
Control models based on incoming financial and non-financial events
Individually configure static and adaptive features to maintain relevance
Build further models from a self-maintainable features library
Manipulate live data without risking performance

Quality Features Create High Performance

Benchmark findings over an outside window and publish results with automated model training
Reduce fraud losses through improved detection and preparation for future fraud threats
Enhance operational efficiency with improved false positive rates and detection rates
Reduce the ongoing burden and regulatory risk of exporting and submitting data externally
Improve customer experience ensuring fraud is declined and genuine transactions are approved