The report, which evaluated over 45 global vendors, highlighted MOZN’s proficiency in mitigating complex threats like mule detection and Authorized Push Payment (APP) fraud. As financial crime shifts from isolated transaction monitoring to enterprise-wide risks involving synthetic identities and deepfakes, traditional fragmented toolsets are proving insufficient. MOZN’s unified FRAML platform addresses this by converging fraud prevention and compliance into a single decisioning architecture.

By leveraging agentic AI and behavioral analytics, the platform automates rule creation and speeds up investigations across the entire customer lifecycle. According to Malik Alyousef, Co-founder and Deputy CEO at MOZN, the recognition validates their shift away from legacy point tools toward a cohesive framework. Philip Mackenzie, Senior Research Principal at Chartis, noted that the firm differentiates itself through real-time detection capabilities and a unique regional market presence. Currently, MOZN supports flexible deployments across SaaS, private cloud, and on-premise environments to accommodate various institutional scales.