Question Weighting in Knowledge-Based Authentication (KBA): Part 1

Updated: July 27, 2026 by Guest Contributor 2 min read October 19, 2010

— by, Andrew Gulledge

The intelligent use of question weighting in KBA should be a no-brainer for anyone using out of wallet questions. Here’s the deal: some authentication questions consistently give fraudsters a harder time than other questions. Why not capitalize on that knowledge?

Question weighting is where each question type has a certain number of points associated with it. So a question that fraudsters have an easier time with might be worth only 50 points, while a question that fraudsters often struggle with might be worth 150 points. So the KBA score ends up being the total points correct divided by the total possible points. The point is to make the entire KBA session more punitive for the bad guys.

Fraud analytics are absolutely essential to the use of intelligent question weighting. While fraud prevention vendors should have recommended question weights as part of their fraud best practices, if you can provide us with as many examples as possible of known fraud that went through the out of wallet questions, we can refine the best practice question weighting model to work better for your specific population.

Even if we keep your pass rate the same, we can lower your fraud rate.On the other hand, we can up your pass rate while keeping the fraud rate consistent. So whether your aim it to reduce your false positive rate (i.e., pass more of the good consumers) or to reduce your fraud rate (i.e., fail more of the fraudsters), or some combination of the two, question weighting will help you get there.

Related Posts

How to Deliver Data-Driven Customer Experiences

A data-driven credit customer experience offers personalization and low friction — it's a win-win for consumers and businesses.

November 5, 2026 by Zohreen Ismali
Stop Fraud Without Stopping Commerce: Rethinking Identity Confidence in E-Commerce

Digital commerce is creating more ways to shop and more ways for fraud to hide. Discover how you can effectively prevent e-commerce fraud.

November 5, 2026 by Kim Le
Building for Bots in the AI Age: Separating Legitimate Agents From Fraudsters

See how NeuroID helps businesses distinguish legitimate AI agents from fraud bots, while Agent Trust verifies agent-initiated transactions.

October 29, 2026 by Laura Burrows

Subscribe to our Newsletter

Enter your name and email for the latest updates.

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Subscribe to our Newsletter

Don't miss out on the latest industry trends and insights!
Subscribe