Fraud & AML risk assessment software
Risk scoring for virtually
any use case

Supercharge your flow with dynamic multi-factor scoring
The advanced features powering your Risk Matrix with weighted scoring
How Risk Scoring works


Define risk factors (like geography or transaction size) and assign weights.
Add tags to rules so they trigger scores when conditions are met.
Scores from all factors are combined into a total risk score.
Each new event recalculates the score, giving you a live risk profile.
Reveal what’s behind your Total Risk Score
User data
Product Usage
and behavior
Transactions
Location, Device & IP
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FAQ
What is an AML risk assessment?
An AML risk assessment is the process of evaluating the money-laundering and fraud risks a business faces, based on its customers, products, geographies, and transactions. Regulators expect companies to use these assessments to design effective compliance controls.
What are the 5 basic risk factor categories in AML?
The five main AML risk factors are:
- 1. Customer risk (individuals or entities being onboarded).
- 2. Geographic risk (countries and regions involved).
- 3. Product/service risk (financial products or services offered).
- 4. Transaction risk (size, frequency, or type of activity).
- 5. Delivery channel risk (online, face-to-face, third-party intermediaries).
What is AML risk management?
AML risk management is the framework of policies, tools, and procedures used to detect, assess, and mitigate financial crime risk. It covers ongoing monitoring, internal controls, reporting obligations, and continuous improvement of compliance programs.
What is AML customer risk scoring?
AML customer risk scoring is the practice of assigning a numerical or categorical score to each customer based on their risk profile. Factors such as geography, transaction patterns, and source of funds are weighed to determine whether a customer is low, medium, or high risk.
What is an AML & fraud risk assessment tool?
An AML and fraud risk assessment tool is software that automates risk evaluations. It aggregates factors like identity data, transactions, and behavioral signals into a risk score. This allows businesses to flag suspicious activity in real time while fast-tracking legitimate users.