Fraud is getting smarter. So are the systems built to stop it.

In 2025, over half of fraud cases now involve AI-driven attacks – deepfakes, synthetic identities, and automated abuse. For banks, payment processors, and fintechs, manual reviews and rule-based systems simply can’t keep up.

That’s why platforms are turning to AI-powered risk infrastructure to detect threats early and respond instantly.

Why Traditional Risk Methods Don’t Scale

Static rules and manual reviews miss fast-moving fraud. Human analysts can’t scan thousands of data points in real time.

AI models, on the other hand:
– Learn from patterns in transaction behavior
– Detect anomalies as they happen
– Trigger instant verification or intervention

Example: AI flags a merchant with a sudden spike in refunds before the payout is processed.

Key Capabilities of AI Risk Solutions

• Real-time KYC/KYB and onboarding analysis
• Adaptive fraud scoring that updates with every transaction
• Automated underwriting with full audit logs
• Continuous monitoring that learns from new threats

These tools don’t just stop fraud – they help platforms scale without increasing risk.

Coris in Action

Coris delivers AI-powered risk tools that handle:
– Merchant onboarding
– Merchant Underwriting
– Transaction monitoring

All in real time.

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What Makes This Work

Machine Learning: Flags fraud based on real-world data
Behavioral Analytics: Adapts to new threats as they emerge
Custom Rules + Models: Let teams define risk by use case
Seamless API Integration: Easy to plug into onboarding or payout flows

Final Thought

Fraud is evolving too fast for legacy tools. If your platform doesn’t adapt, it’s exposed.

Coris helps fintechs, banks, and payment platforms stop threats before they become losses – with real-time, intelligent risk management built to scale.

👉 Request a demo to see how Coris works.