Introduction

Verestro’s AML Transaction Monitoring is a compliance solution that helps businesses detect and prevent suspicious or fraudulent transactions while maintaining full AML compliance. 

 The system provides real-time transaction monitoring based on configurable rulesets and can use KYC data , end user transaction history , and transaction details to support effective risk management. Each customer can define custom AML rulesets tailored to their specific risk profile and operational needs. 

 Monitor and control all suspicious transactions in one place 

 

 

 Define custom rulesets that use transaction data, KYC information, and end user transaction history. 

 

 

 Specify custom actions for your system to execute when a ruleset is triggered; the action logic remains on your side. 

 

 

 Send notifications automatically when a transaction matches a defined ruleset. 

 

 

 Test rulesets before activating them 

 

 

 Run a new or modified ruleset against historical transactions (a dry run) to see how it would have behaved — without affecting live decisions. 

 

 

 Review how many transactions would have been matched, and the decisions and alerts the ruleset would have produced, then enable it once you are satisfied. 

 

 

 Each test covers a selected time window of up to 7 days. 

 

 

 Suspicious entity detection 

 

 

 The AML system lets you define individuals as fraudsters (blacklist) or as suspected of fraud (greylist) using their personal and address data. 

 

 

 You can create rulesets that detect such entities and trigger appropriate actions. 

 

 

 This enables fast identification of fraudsters across all your instances. 

 

 

 Handle screening results with human expertise 

 

 

 The AML system can send notifications when a transaction is flagged by a specific ruleset. 

 

 

 In the current architecture, the system can create an issue in YouTrack — a tool for managing tasks and incidents. 

 

 

 These notifications allow authorized staff to review and investigate complex cases that require manual expertise. 

 

 

 Notify end users about unusual transactions 

 

 

 A ruleset can notify the end user (balance owner) directly when it detects an unusual transaction. 

 

 

 Notifications are sent via SMS or email using predefined templates. 

 

 

 An optional cooldown period prevents repeated notifications to the same end user within a short time window. 

 

 

 Empower your AML process with AI assistance 

 

 

 The AI module currently provides a numerical risk score (0–100) for each end user transaction. 

 

 

 The score is calculated by a machine learning model. 

 

 

 To solve the cold-start problem, the model is seeded with a predefined specification prepared by our AML specialists — for example, lists of high-risk MCC codes and the number of risk points to add for specific property values (such as additional points when the end user’s KYC risk level is high). 

 

 

 We collaborate with AML specialists to continuously improve the AI model. 

 

 

 Note: Planned improvements include an AI assistant that will suggest AML ruleset and support human expertise in transaction verification and case assessment. 

 How to connect with us? 

 There are two integration methods available: 

 

 Plug & Play Package 

 Standalone REST API Integration 

 

 Details of both integration options can be found in the following section: Quick start guide | Verestro Developer Zone .