18th October, 2022
Every interaction with a traveller counts. Airlines are looking at ways to get travel shopper close to a booking. And they can’t afford to slip up just when a consumer is about to pay.
Safety, insight into the actual trip experience, flexibility that support changes in an itinerary or even a cancellation etc… all have to fall in place as per the expectations of the traveller.
Payment and fraud specialists also have a vital role to play.
Organizations like Visa acknowledge that cybercriminals have access to the same technology as many companies—in some cases better. Considering this, all stages of a consumer’s journey – app installation, registration, login, transaction, loyalty fraud etc., – have to be looked at and countered if necessary.
Identifying a “good user”
For evaluating whether a user is a “good user” or not, don’t only rely on device attributes or historical transactional data. Understand the actual behavior and it will enable in gauging subtle differences between a legitimate user and a fraudster.
Some of the ways in which fraudsters are being combatted:
- Acting at the time of login: Once the data is stolen, how about recapturing the same from fraudsters and acting on the same? Considering that traditional identity verification has its limitations or isn’t proving to be enough, initiatives have to be taken to reach a fraudsters’ territory, acting where they act post a breach and this way one can cut down the user’s risk from their exposure in criminal listing or whatever can be done with the stolen data.
- Detecting any anomaly during the booking flow: There is a need to continuously assess risk across the user session. Customary human interaction can’t be imitated by bots. Tapping a device results in a certain movement or orientation, but what if it wasn’t for real? Also, in case a fraudster is committing an ATO and doing it manually then also the behavioral pattern can be spotted via behavioral analysis. Also, behavioral data features numerous sensor readings to uncover intricate and nuanced gestures. It is a continuous feedback loop, traits of a good user are solidified and modules factor all of it to improve upon the defense.
By Ritesh Gupta, Ai Events
