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How to stop online fraudsters with identity verification? To start, we need to understand fraudsters and their motives. Most are after anything with monetary value. The more money they can make, the more likely you will be a victim of their scams. Also, the easiness of committing that scam will factor into their targets.

Payment Orchestration Meets Fraud Optimization Many companies have diversified their payment platforms by offering multiple acquirers and payment methods for their customers. This approach is a critical way to diversify your payment stack and increase conversions. By having only one payment method like PayPal, you put your business at tremendous risk due to disruptions.

Strengths and Weaknesses of Complex Verification Methods In today’s online world, one factor of security is not enough. Businesses need a layered approach to defend themselves with solutions that are easily deployed against evolving threats. This is one of the main reasons behind dynamic friction and why one approach will not work. Fraudsters are learning

Blocking Greater than 1% is Bad Business. Many businesses might have rules that look like the below when dealing with fraud. They see a risky user and decide to block them without even giving them a chance. Or they put them through a slow manual review. In today’s, online business users expect results fast, and

What is dynamic friction for fraud? Friction for those unfamiliar with it in the identity space essentially means slowing down a person. Not many people like to be slowed down, and that’s the same way people feel about friction. Companies slow people because they don’t want to take unwanted risks. If there are no checks

How can companies better approach friction? Joining fraud tools with identity proofing is critical to responding to advanced threats while minimizing friction. Once this is done, we can tune existing detection for new threats and know which signals will increase trustworthiness. For example, instead of rejecting any payments by our fraud tool, we can set

A case study into the costs to get to a 1% block rate and 0 manual reviews Before we understand the client’s use case, we need to gather the pre-requisites for fighting fraud. First, you will need some fraud tool to get a baseline of the standard data on a person to set up any