How Banks Dynamically Adjust Security Questions Based on Your Behavior

A system that automatically changes the difficulty and number of security questions you face when opening a bank account based on your device data and risk level.

What it covers

This patent describes a system that monitors your device information—like your location, IP address, and browser settings—when you try to open a new financial account. An authentication server uses this data to calculate a fraud risk score. If the system suspects something is off, it generates a set of security questions tailored to that risk level. As you answer these questions, the system dynamically adds, removes, or changes the questions in real-time to either lock you out or verify your identity more thoroughly.

What it doesn't cover

• —Does not cover static security questions that remain the same regardless of user behavior.
• —Does not cover authentication methods that rely solely on passwords or PINs without dynamic adjustment.
• —Does not cover biometric authentication methods like fingerprint or facial recognition.
• —Does not cover systems that do not use device identification information to calculate a fraud risk score.

The clever bit

The system treats the authentication process as a dynamic loop: it doesn't just ask a fixed set of questions; it uses your response to the first question to decide if it needs to ask a harder or easier follow-up question, effectively 'tuning' the security level on the fly.

Why it matters

As online banking becomes the norm, preventing identity theft during account creation is a massive challenge for financial institutions. This patent provides a framework for automating the 'trust' process, allowing banks to reduce friction for low-risk users while increasing security hurdles for suspicious ones, effectively automating the role of a fraud analyst.

Real-world examples

• 1.Online bank account opening portals
• 2.Credit monitoring service sign-ups
• 3.Automated identity verification workflows