dRisk

Store your sensitive data in our vault.

Our advanced security product is designed to help Fintech and E-commerce
companies reduce and manage the risks associated with digital fraud.
At our company, we understand that digital fraud is a growing problem that
can have severe consequences for businesses. That’s why we’ve developed a
robust system with various capabilities to help you stay ahead of the curve.
One of the critical features of our system is its ability to blocklist potentially
fraudulent users. We also offer Velocity Checks that monitor the count/sum at
which transactions are made, helping detect suspicious activity in real time
and set your own rules and thresholds to help manage risk effectively.

We offer options of VIP customers, allowing them to bypass some risk
management processes altogether.

dRisk’s Features

Our team of experts constantly monitors the latest trends and developments in
digital fraud to ensure that our system is always up-to-date and can provide
the best possible protection for your business.
So if you’re looking for a powerful, customizable solution to help you manage
the risks associated with digital fraud, look no further than risk. With our
advanced capabilities and dedicated team of experts, you can rest assured
that your business is in good hands.

dRisk’s Features

Blocklist
Protect your business from risk with dRisk's blocklist feature
Velocity Checks
Keep your business safe from suspicious activity with dRisk's velocity checks
Risk Rules
Stay in control of your risk management with dRisk's pre-defined rules
Vip Customer
Avoid risk checks for VIP customers you trust
Advice Logic
Prevent fraud and protect your business with dRisk's advice logic insights

dRisk

Start using dRisk’s features from 0.01$
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FAQ

What are Velocity Checks, and how do they help manage risk?

Velocity Checks provided by the "dRisk" system monitor the frequency or sum of transactions made by users. This helps in detecting and flagging suspicious activity in real-time. You can set your own rules and thresholds to identify abnormal transaction patterns and take appropriate actions to manage risk effectively.