FAQ: fraud analytics process, onboarding, and

Frequently asked questions

How does your platform detect fraud in ecommerce transactions?

We use a combination of real-time transaction monitoring, behavioral analytics, and pattern recognition. When something looks out of place—like a sudden surge in orders or unusual payment methods—our system flags it for review. The process adapts as fraud tactics change.

What does the onboarding process involve for new clients?

Onboarding is simple. Our team helps connect your data sources and sets up custom rules. You’ll see suspicious activity alerts and analytics in your dashboard within a few days, depending on data complexity.

How do you handle user data privacy and compliance?

We comply with Indian and GDPR privacy laws. Only necessary data is processed, and you can review or delete it any time. No personal details are shared with third parties for advertising.

Can your analytics block transactions or only flag them?

Our system generates alerts for events that look suspicious but never blocks transactions automatically. A human review step remains essential—analytics are the first line, not the last word.

What support options are available if I have a problem?

Support is available by email and phone during business hours. For urgent technical issues, our operations team responds within one business day. Updates and documentation are always accessible in your dashboard.

Tips for reducing ecommerce fraud risk

Monitor for sudden spikes and outliers

Look for sharp changes in order value, payment methods, or user behavior. Outliers often signal fraud before a pattern forms.

Enable layered authentication

Use multi-factor authentication for both customers and staff. Extra verification steps add friction for fraudsters, not regular users.

Check key indicators on a schedule

Review your analytics dashboard weekly. Unusual returns, failed payments, or new shipping addresses can reveal issues early.

Balance automation with review

Automate rules for high-risk regions or device types, but review flagged cases yourself. Technology catches more when paired with human judgment.

Regularly refresh detection logic

Update your detection parameters as fraud tactics evolve. Sticking with last year’s rules leaves blind spots in your defenses.

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