Mubasher: Mozn, a regional leader in enterprise AI technologies, has launched Payment Intelligence, a new product within its flagship FOCAL Enterprise Fraud Management platform, at the Money 20/20 Middle East conference.
Payment Intelligence delivers real-time detection and instant decision-making, enabling institutions to block fraudulent transactions before financial loss occurs without impacting legitimate payments.
Amid the rapidly evolving digital economy, MENA’s financial sector faces high fraud threats that can inflict financial damage on individuals and institutions. Hence, Mozn’s Payment Intelligence analyzes device, behavioral, and transactional signals to identify and intercept fraud in real time.
These solutions help institutions process payments faster with confidence while adhering to regulatory compliance requirements and maintaining customer trust.
By correlating multi-layered signals, including transactional, non-transactional, device, and in-app behavioral data, the product eliminates blind spots and delivers risk decisions that provide businesses with a 360-degree view of the customer journey and drive proactive fraud prevention.
Malik Alyousef, Co-founder and Chief Operating Officer at Mozn, elaborated: “With Payment Intelligence, we extend protection across the entire customer journey, closing every gap in the user lifecycle. This ensures threats are intercepted at any point they emerge, allowing institutions to process payments faster and more confidently.”
On its part, FOCAL Enterprise Fraud Management unifies device intelligence, event intelligence, and payment intelligence into a one end-to-end platform, allowing financial institutions to detect, prevent, and respond to fraud at every stage of the customer journey.
Meanwhile, Payment Intelligence acts instantly to contain high-risk activity through automated blocking, holding, or escalation without waiting for manual review. It also strengthens defenses over time by leveraging a shared fraud network to identify and stop mule accounts, flagged devices, and emerging threats.
