Overview

Signzy’s Transaction Monitoring solution is an AI‑driven SaaS platform designed to detect suspicious transactions and prevent financial fraud and money laundering. It continuously analyzes transaction flows using customizable rules, machine learning models, and global watchlists to uncover anomalies, generate risk scores, and support compliance with AML/CFT regulations. The system integrates with core transaction sources and feeds analytics throughout the user lifecycle — from onboarding to post‑transaction monitoring — enabling financial institutions to protect assets, reduce false positives, and demonstrate regulatory readiness.

Features and Capabilities

• Real‑Time Monitoring: Continuous surveillance of financial activity to detect suspicious behaviour as transactions occur.
• Custom Rule Engine: Allows compliance teams to configure rules and thresholds tailored to their risk tolerance.
• AI & ML Risk Scoring: Machine learning models refine detection logic over time and assign dynamic risk scores.
• Global AML Compliance: Screens against global sanctions, PEP lists, and adverse media to reduce regulatory risk.
• Behavioral Analytics: Tracks patterns and anomalies across customer behaviours to flag unusual activities.
• Alerting & Reporting: Generates alerts for rule breaches and produces regulatory‑ready reports and audit trails.
• Seamless Integration: Delivered via APIs for quick integration into existing banking, fintech, or payments infrastructure.
• No‑Code Configuration: Enables non‑technical users to modify and simulate rules without engineering support.