MOZN, a leading enterprise AI platform, has announced a major leap in its Enterprise Fraud Management (EFM) solution with the introduction of AI Rule Builder, empowering fraud teams to turn control decisions into production ready fraud rules in minutes instead of waiting days for engineering and QA cycles.
The first of its kind in the region, MOZN AI Rule Builder brings natural language rule creation into a unified enterprise fraud management solution, enabling institutions to generate, govern, and deploy high‑impact fraud rules at unprecedented speed while staying tightly aligned with existing data models and real‑time processing constraints.
MOZN’s AI Rule Builder addresses this challenge by allowing users to describe their intended controls in plain language and automatically generating the corresponding rule expressions across a wide range of scenarios. From simple rules to advanced patterns that use velocity-based variables and time-based aggregations, the capability is designed to accelerate how institutions create and maintain the rules that power real-time fraud defenses.
Fraud decisioning architecture
AI Rule Builder extends MOZN’s AI-native Financial Crime Prevention solution by adding an intelligent rule creation layer to its broader fraud decisioning architecture. Within a single FRAML environment, institutions can detect suspicious activity in real time, design and adapt both simple and complex fraud rules faster and manage investigations on the same shared data and case management foundation.
“By using generative AI to handle the heavy lifting of rule construction, we empower fraud teams to respond to emerging patterns at the speed of thought, while maintaining the transparency and oversight required for enterprise-scale compliance,” concluded Malik Alyoussef, Co-founder, Chief Product & Technology Officer, MOZN.
