Singapore – AI innovation and adoption are reshaping the e-commerce markets across the APAC region, with growing intelligent fraud operations and also how brands and vendors are utilising AI-powered tools to better understand their customers.
Riskified, an AI-driven e-commerce fraud and risk intelligence platform, recently held a webinar diving into how organisations can detect and prevent these fraud attacks using advanced intelligent solutions.
Ohad Drori, senior manager in data science at Riskified, shared how fraud cases and operations are becoming more sophisticated as AI technologies evolve in the region. With AI tools on the rise, fraud is now growing as a service in the underground market to target entire industries, not just individual businesses.
“At Riskified, we have the macro view, which allows us to see the fraudsters hop from merchant to merchant. This is happening across various industries, including ticketing, fashion, and travel, with a huge wave of fraud cases in the remittance industry seen in early 2025,” Ohad explained.
He added, “This macro view allows us to act fast and with surgical accuracy. We utilise our large network to give us greater visibility. The more we grow this network, the larger our visibility reaches to act quickly and keep on evolving against malicious actors.”
Ohad explained that fraudsters in the region are targeting specific industries and changing their MOs as necessary. However, after an industry has been infiltrated, it ‘unlocks’ that specific sector to other malicious actors.
“For merchants, I think it’s a good idea to understand what you are actually facing, but you need to have the ability to react in real-time. The only organisation that can react that fast is the one that has industry visibility,” Ohad added.
The accessibility of packaged automated credential stuffing scripts on the dark web is also rapidly accelerating fraud cases across the APAC region. Prior to this, threat actors would need to learn coding and the mechanics of fraud operations before becoming proficient.
Today, with AI technologies, orchestrating hyper-personalised phishing and social engineering operations is easier than ever before.
Additionally, Avi Ben Galil, head of business development at Riskified, shared that enrichment of data is also key to avoiding missing info and opening a gateway for fraudsters.
“What’s needed is a multi-layered approach to data, based on various data sources or the enrichment of each data layer with previous fraud/abuse attempts versus safe, successful previous transactions of data,” Avi explained.
He added, “This allows a more well-informed and proactive approach in eliminating threats while keeping revenue predictability.”
With sophisticated AI-driven fraud operations spreading across APAC, government entities also need to be proactive in helping brands and vendors prevent malicious attacks from growing.
Avi explained that the main possible contribution of governments could be a collaboration between countries on two sides: prevention and enforcement around crime syndicates that deal with human trafficking and education of the public around digital awareness and detection of fake websites, apps, and questionable money-making schemes.
In addition to sharing AI-powered fraud schemes in APAC, the webinar also highlighted how organisations are also utilising advanced AI technologies to analyse refund and return behaviour of different types of customers to develop growth strategies.
Avi showcased that organisations today can use AI to track and analyse customer behaviour across e-commerce platforms to determine whether they fall under specific customer archetypes such as bracketer, gold standard, opportunist, or an abuser.
This helps organisations see which customers have high or low LVT based on their purchasing and return behaviours and whether they are using one or multiple accounts.
By having access to this data using intelligent solutions, organisations in the region can not only better understand their customers but also deliver a more personalised shopping experience for loyal customers.
