FRAUD BEHAVIOR AND REVENUE
Averisys Fraud Detection Software
Cut Fraud. Protect Revenue.
See how user behavior affects fraud and revenue. Prioritize the best next action.
Trusted by leading organizations
Fraud detection software finds the transaction. Fraud intelligence finds the cause.
Most fraud detection software answers one question: is this transaction fraudulent? It scores each event, blocks or flags it, and moves on. That work matters, and Averisys does not replace it. Averisys Fraud Detection Software answers the questions that come next — which behaviors lead to fraud, how much revenue is exposed, and which change cuts the most fraud with the least disruption to legitimate customers.
Fraud detection solutions find fraud that has already been attempted. Fraud prevention solutions try to stop it at the door with rules, blocklists, and step-up verification. Both act on the transaction. Neither explains a rising chargeback rate, and neither tells a business what a fix is worth. Averisys ranks the behaviors driving fraud, estimates the revenue tied to each one, and orders the actions by the revenue they protect.
AI fraud detection and fraud detection machine learning describe the modeling techniques used to separate fraud from legitimate activity. Averisys uses machine learning as well — Recursive Feature Machines to rank what drives fraud, LightGBM to forecast revenue, Random Survival Forests to predict when an event is likely, and Neural Structural Equation Modeling to trace how behavior reaches fraud and revenue. The difference is what the models are pointed at: not only the fraud flag, but the revenue consequence and the recommended action.
In payments, losses often arrive twice: once as the fraudulent transaction, and again as the chargeback, the dispute handling, and the lost customer. Payment fraud detection catches the first. Averisys focuses on chargeback fraud specifically, linking refund abuse, login irregularities, device switching, and payment anomalies to disputes and to the revenue those disputes cost. The same platform is used for fraud detection in banking, insurance claims, retail payments, telecommunications, and government programs.
Every fraud control that is tightened blocks some fraud and some genuine customers. The fraud is counted, because it appears in the loss report. The blocked customers usually are not, because they simply leave. Because Averisys quantifies both sides, a risk team can choose its level of friction on evidence instead of instinct.
AI transforms user requests into visualizations and recommendations, seeking user approval.
Users pose questions or describe research interests in plain language.
AI conducts the analysis and presents the results with relevant visualizations.
AI interprets the findings, highlights risks, and offers recommendations.
Users are prompted to accept or reject the results.
Human-AI Interaction
Tell AI your interest. AI plans and conducts analysis. You are prompted to approve its analysis.
Advanced Machine Learning (ML)
Prediction - Recursive Feature Machine
By exploring fraud, the Fraud Detection Software determines its impact on revenue. It compares revenue between fraudsters and non-fraudsters. So you can see how fraud drives revenue.
Trend and forecasting-LightGBM
Digging deeper into revenue, Averisys Fraud Detection Software shows real-time revenue trends and predicts future revenue based on user behavior. It shows revenue for fraudsters and non-fraudsters. So you can see how improving user behavior and cutting fraud increase revenue.
Time-to-event-Random Survival Forests
Averisys applies Random Survival Forests to predict when an event is most likely to happen for each individual, and shows which factors speed it up or delay it. So you can act before the event occurs.
Relationship-Neural Structural Equation Modeling (SEM)
Digging deeper into this impact, the Fraud Detection Software tests what-if scenarios. It estimates how improvements in user behavior increase revenue. So you can see which behavior increases revenue the most.
Advanced Large Language Model (LLM)
Risk Identification.
Averisys Fraud Detection Software examines this impact further and identifies revenue risk from user behavior. And it orders user behavior by risk. So you can focus on the highest-risk behavior. Averisys Fraud Detection Software identifies risks based on the results — functionality, predictive performance, scalability, and interpretability — and writes the risk report together with the recommended actions. So you know exactly where the risks are and what to do next.
What-if Analysis.
The Fraud Detection Software simulates what-if scenarios before a change is made. It estimates how improvements in user behavior reduce fraud and increase revenue. So you can see which change delivers the most before committing budget.
Recommendation.
Finally, the Fraud Detection Software provides recommended actions based on risk scores and what-if scenarios. So you can make the best AI-based decision.
Result Interpretation.
Averisys Fraud Detection Software interprets every result in plain English. It explains what the model found about user behavior, fraud, and revenue, how accurate the model is, and how confident you can be in the numbers. So you can understand the findings without a statistics background.
Reports.
Averisys Fraud Detection Software writes the report for you. It produces an executive summary with key findings, the metrics behind them, and the top drivers of revenue. So you can share results with leadership in minutes, not weeks.
Question Responses.
Averisys Fraud Detection Software answers follow-up questions on demand. Ask anything about the results in plain language — patterns, trends, or what a number means for revenue — and the AI assistant responds with a detailed, evidence-based answer. So you can keep digging until you have the answer you need.
Advanced Natural Language Processing (NLP)
Sentiment Analysis.
Averisys Fraud Detection Software first measures the impact of user behavior on fraud. And it orders user behavior by its impact. So you can see which behavior has the greatest impact on fraud.
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Frequently asked questions
Fraud intelligence platform — answers
What is a fraud intelligence platform?
A fraud intelligence platform analyzes user behavior to measure its impact on chargeback fraud and revenue, predict future outcomes, and recommend the best actions to protect revenue.
What is the difference between fraud detection software and a fraud intelligence platform?
Fraud detection software decides whether a transaction is fraudulent. A fraud intelligence platform explains which behaviors drive fraud, estimates the revenue at stake, and ranks the actions that protect the most revenue.
How is a fraud intelligence platform different from fraud prevention solutions?
Fraud prevention solutions block transactions using rules and scores. A fraud intelligence platform explains why fraud happens, ranks risk drivers, and recommends actions weighted by revenue impact.
Is a fraud intelligence platform the same as AI fraud detection?
AI fraud detection focuses on classifying individual transactions as fraudulent or legitimate. A fraud intelligence platform like Averisys adds revenue impact, what-if scenarios, and recommended actions.
Which machine learning methods are used for fraud detection?
Averisys uses Recursive Feature Machines to rank what drives fraud, LightGBM to forecast revenue, Random Survival Forests to predict when an event is likely, and Neural Structural Equation Modeling to trace how behavior reaches fraud and revenue.
Can it be used for payment fraud detection?
Yes. Averisys Fraud Intelligence Platform links payment anomalies, refund abuse, login irregularities, and device switching to chargebacks and to the revenue those chargebacks cost.
Does it replace the fraud detection software already in place?
No. Transaction screening stays where it is. Averisys Fraud Intelligence Platform works alongside it to explain the fraud pattern, quantify the revenue exposed, and recommend the next action.
What is a chargeback fraud platform?
A chargeback fraud platform helps reduce disputes and friendly fraud. Averisys Fraud Intelligence Platform targets chargeback fraud specifically by linking risky user behavior to chargebacks and lost revenue.
Who uses a fraud intelligence platform?
Risk, fraud, payments, and revenue teams use a fraud intelligence platform to cut chargeback fraud, protect revenue, and prioritize the highest-impact mitigations.
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Learn: What is a Fraud Intelligence Platform?
Plain-English guide to the fraud intelligence platform category.