Enterprise fraud prevention, risk assessment, and compliance
Omnichannel and multi use cases
FraudAverse supports all payment channels and instruments, as well as all business use cases around financial crime prevention.
The key to true enterprise level fraud prevention is that channels and use cases share profiles, risk scores, and defined risk data. Your fraud team gets a 360° vision both on your customer behaviour as well as a 360° vision on risk exposure and criminal behaviour.
Business Use Cases
Payment Fraud Prevention
Financial Compliance
Internal Fraud Detection
Onboarding Fraud Discovery
Customer Risk Rating
Stay ahead of fraud with Advanced AI
Payment fraud prevention combines AI and decision rules to identify unusual patterns, behaviours, and anomalies that indicate potentially fraudulent transactions. This includes the use of analytics, machine learning, and feature extraction to analyse vast amounts of transaction data in real-time.
Real-time behavioural scoring
We are unique in our approach to analyse transaction history in real-time and observe developing fraud patterns of behaviour in recent data.
Millisecond response times
For decades, we have had experience in building payment fraud detection systems that respond within milliseconds to transactions on extreme scale. Our solutions fit the demanding requirements of any size transactional portfolio.
Securely detect financial crime
FraudAverse monitors both financial and non-financial transactions to detect financial crime and money laundering activities. It combines this with reference and masterdata to identify sanction violations. This enables you to meet regulatory requirements and to create the necessary financial reporting. With FraudAverse’s unique model-based approach and expert teams, monitoring and reporting on money laundering and politically exposed people becomes accessible and manageable on a global scale.
Smarter sanction screening
Our solutions employ sophisticated AI to enhance the efficiency, accuracy, and effectiveness of the screening process. This ensures a much more proactive and agile approach to compliance.
Risk-based scoring
Integrate watchlists efficiently and effectively in real-time transaction monitoring to allow risk-based scores for financial compliance in real-time and at-scale.
Uncover hidden risks and prevent internal fraud
FraudAverse proactively detects internal threats within your organisation, helping you uncover hidden risks and prevent fraud from the inside out. Insider breaches, mules and other fraudulent schemes can be identified and monitored with our advanced AI technology. FraudAverse is designed to look within and enforce compliance to internal rules and regulations.
Insider threat detection
Pro-actively detect and report on fraudulent cases where employees, knowingly or perhaps even unconsciously, commit fraud to aid some benefit. FraudAverse employs strong control on identities in financial transactions and provides insight.
Uncover risks
Prevent internal fraud and protect your organization from financial losses with FraudAverse.
Seamless onboarding: verify customers with confidence
Know Your Customer (KYC) and Customer Due Diligence (CDD) have become extremely important in proactive financial crimes fraud prevention. FraudAverse provides solutions to augment the customer onboarding with sophisticated feature extraction on financial data and provide a 360 degree view of the customer.
Customer lifecycle management
Build an augmented view on the customer’s profile by extracting behavioural features from the customer and observe historical information in real-time. Observe the customer throughout its lifecycle from onboarding to decision making.
Device and location agility
Tracking the device and location information during the onboarding process to identify inconsistencies or suspicious access points. Generating immediate alerts and notifications for suspicious activities or potential onboarding fraud.
The technology behind FraudAverse: AI and machine learning
FraudAverse utilizes advanced AI and machine learning algorithms to provide comprehensive fraud prevention solutions. By constantly analyzing and adapting to evolving risks, our technology ensures the highest hit rates and lowest false positives.
AI Component
Our AI component is the backbone of FraudAverse, leveraging cutting-edge technology to detect and prevent financial crime in real-time. It continuously learns from patterns and anomalies to enhance its accuracy and effectiveness.
Machine Learning
The machine learning component of FraudAverse enables it to identify and adapt to new fraud patterns and techniques. It constantly evolves and improves its models to stay ahead of emerging threats.
Individualized Setup
FraudAverse can be applied to various use cases, including fraud detection and prevention in online payments, identity theft protection, and money laundering prevention.
Real-Time Monitoring
With FraudAverse's real-time monitoring capabilities, suspicious activities and transactions are detected instantly, allowing for immediate action and minimizing potential losses.
FAQs
Find answers to common questions about implementing and using FraudAverse in various scenarios.
This is up to you. FraudAverse comes with a streamlined, web based UI that enables the most efficient configuration of all aspects of FraudAverse by your fraud experts with little training. At the same time, we are there to assist you anytime in this process, or to take over the entire configuration for you based on your requirements, needs, and spefications.
Most of the time, yes. FraudAverse comprises all the functionality to manage this in an efficient way, and is supported by a user/role access model that enables proper separation of responsibilities and data/function access. You may, however, choose to have separate FraudAverse implementations if you have a need to.