Enza Partners Fraudio to Add AI Fraud Detection to enzaGuard

In Short

Enza has announced a strategic partnership with Fraudio.

The deal integrates Fraudio’s AI fraud detection into enzaGuard, a fraud and financial-crime protection layer inside Enza’s payments platform.

The combined tool targets banks, payment companies, and other financial institutions across Africa.

What Happened

Enza said Fraudio’s technology is now built into enzaGuard, meaning customers can turn on fraud controls without buying and connecting a separate fraud tool.

Fraud detection here means software that looks for suspicious behaviour in payments, then flags or blocks risky activity. Fraudio uses AI and machine learning, which are systems that learn patterns from data and improve decisions over time.

The integration is cloud-native and real-time. Cloud-native means it is designed to run on cloud servers rather than on a bank’s own hardware. Real-time means it can score a transaction in milliseconds while a payment is being approved.

Enza said the fraud layer can ingest signals across issuing and acquiring, which are the parts of the card payment chain that serve cardholders and merchants. It also covers transfers, wallets, and ATM activity.

The system analyses transaction patterns, enriched attributes, peer-group behaviour, and sequences of actions to produce a risk score. That score can be plugged into existing authorisation checks, 3DS flows, and manual review queues. 3DS is an extra step some online card payments use to confirm the customer is genuine.

Why It Matters

African banks and payment service providers are rolling out more digital products, but fraud tactics are also evolving. Enza and Fraudio are positioning enzaGuard to catch issues like account takeover, bot attacks, mule networks, and authorised push payment scams.

For operators, the pitch is simpler deployment. A pre-integrated fraud layer can shorten time to launch and reduce engineering work, procurement cycles, and ongoing vendor management.

If the scoring is accurate, it can also reduce false positives. That means fewer legitimate payments get blocked, and customers face less friction at checkout.

For financial institutions, the bigger outcome is stronger fraud and financial-crime controls in one place, across multiple payment rails and channels.