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ACI Fraud Management

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Overview

ACI Fraud Management enables banks, acquirers, processors and networks to turn fraud prevention into a competitive differentiator with a secure and seamless solution that exceeds customer expectations and delivers against increasing regulatory demands. An efficient Fraud Management approach can have a significantly positive impact on the overall costs of fraud in financial institutions.

Proactive Risk Manager “PRM”, is an enterprise-wide, transactional fraud and financial crime solution employing AI and rules with a highly-efficient alert, queue and case management capability that supports a large fraud orchestration ecosystem which operates at scale.

It can consume data and transactions from across the enterprise to provide better decision-making for all channels such as bank account, cards, online and mobile banking, wires, ACH and real time payments.

It is built and tuned to provide fraud detection on individual transactions in real time on all channels.

It functions with the combination of AI, machine learning and models along with detection rules that reflect the domain expertise of your staff.

PRM has a highly tunable and configurable workflow management capability that allows you to work the most important alerts first.

ACI has a large network of partners and verified solutions that support your fraud and financial crime in one solution.

PRM can be deployed for small and large organizations while maintaining high TPS and response time in traditional on-premise, in our private data center or with our MS Azure certified marketplace solution in the cloud.

Key Features

Rapidly Launch Fraud Prevention Strategies

Fraud trends move fast. Financial institutions must stay ahead of fraudsters and the competition to retain customers and grow revenues.

  • Set up your production environment in minutes through Microsoft Azure Marketplace
  • Create machine learning models and push to production in just hours with ACI’s model generator

Balance Compliance and Customer Experience

Deliver fraud prevention across all digital channels and payments in combination with seamless payment experiences.

  • Maintain compliance with PSD2 strong customer authentication for CNP transactions
  • Leverage TRA and integrate with your access control server to successfully apply exemptions
  • Comply with anti-money laundering (AML) regulations and manage watch list restrictions

Reduce Fraud Losses and Improve Detection Rates

Enterprise fraud prevention is essential to ensure customers are protected across all digital channels and payment types.

  • Prevent all types of payments fraud — including real-time payments
  • Leverage new network intelligence technologies from ACI for effective collaboration
  • Prevent financial crime in your digital channels by combatting account takeover fraud
  • Take advantage of ACI’s fraud ecosystem partners for additional vectors in your fraud scoring: behavioral biometrics, real-time alerting and more

Key Benefits

Accelerate Speed to Market

Rapidly launch fraud prevention strategies with ACI Model Generator and accelerate speed to market with new fraud services available as automated deployments in the Microsoft Azure Marketplace.

Revenue in Compliance

Be confident in continuous compliance with all fraud regulations and deliver a differentiated customer experience with capabilities for transaction risk analysis (TRA) and exemptions.

Improve Fraud Prevention

Combine machine learning and network intelligence with community fraud signals and insight from our expert data science and fraud consultancy teams.

  • It can consume data and transactions from across the enterprise to provide better decision-making for all channels such as bank account, cards, online and mobile banking, wires, ACH and real time payments.
  • It is built and tuned to provide fraud detection on individual transactions in real time on all channels.
  • It functions with the combination of AI, machine learning and models along with detection rules that reflect the domain expertise of your staff.

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