Leverage Flexible Consortium Data
Choose which fraud signals to apply to your models, with real-time signal sharing across the collaborative 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
Collaborate 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
- Maintain the strength of custom, proprietary signals and complement with signals exchanged within the community
- Incorporate signals from third-party fraud intelligence sources
- Choose which insights to adopt into models and which to contribute to community findings
- Leverage transparent, individual signals rather than a single opaque model dominated by the largest contributor
- Create informative, non-redundant and contextually meaningful data features, focused on individual requirements
- Understand localized threats before they become endemic
Transforming Machine Learning
Leverage Machine Learning 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
RISK AND FRAUD MANAGEMENT
Safe and Secure
Learn about ACI’s wide ranging fraud prevention and detection capabilities.
ACI Fraud Management for Banking
Real-time, machine-learning-driven fraud management solution for banks, processors, acquirers and payment networks.
ACI Fraud Management for Merchants
Multilayered, real-time fraud management and ongoing monitoring of online and mobile transactions for merchants and payment service providers.
Anti-Money Laundering
Strong, advanced AML compliance framework to maintain compliance with international and domestic regulations.
Robotic Process Automation
Advanced solution that allows businesses to improve operational efficiency and automatically respond to data, events and interactions to process transactions, trigger customer outreach or communicate with other digital systems.
Case Manager
End-to-end case management for fraud investigations and resolutions. Manage enterprise-wide fraud cases more efficiently.
Related Resources
Merchants
Artificial Intelligence Project of the Year: Why Machine Learning is the Newest Leader in Fraud Prevention
Now lauded by experts as the newest leader in fraud prevention, machine learning is fast becoming an essential tool in mitigating cybercrime — but not all machine learning models are built the same.
Banking
Machine Learning Demystified
Detecting and preventing fraud is difficult, not least because it’s constantly evolving. Machine learning is being hailed as one of the key tools that can turn the tide in the battle against fraudsters. While the technique itself isn’t new, technology now enables the pooling and processing of mass data in a way that can boost machine learning power.
Banking
Expanding The Horizons of Fraud Detection
How the network intelligence approach to machine learning is driving unprecedented collaboration in the fight against payments fraud
