AI-Powered eCommerce Fraud Set to Surpass $107 Billion by 2029, Study Reveals

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On Mon, 7 Oct, 4:01 PM UTC

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A new study by Juniper Research predicts a 141% increase in eCommerce fraud, reaching $107 billion by 2029. AI is identified as a key factor in the sophistication of attacks, including the use of deepfakes to bypass verification systems.

AI-Driven eCommerce Fraud on the Rise

A recent study by Juniper Research, a leading authority in fintech and payment markets, has unveiled alarming projections for the future of eCommerce fraud. The research predicts that the value of eCommerce fraud will skyrocket from $44 billion in 2024 to a staggering $107 billion by 2029, marking a 141% increase 1.

The Role of AI in Sophisticated Attacks

The study highlights artificial intelligence (AI) as a primary driver behind the increasing sophistication of attacks across the eCommerce ecosystem. One of the key threats identified is the use of AI-generated deepfakes to defeat verification systems 1. This technology enables fraudsters to create highly convincing fake identities and credentials, making it increasingly difficult for traditional security measures to detect fraudulent activities.

Thomas Wilson, the report's author, emphasizes the urgency for eCommerce merchants to adopt advanced fraud prevention systems: "eCommerce merchants must seek to integrate fraud prevention systems that offer AI capabilities to quickly identify emerging tactics. This will prove especially important in developed markets, where larger merchants are at higher risk of being targeted for fraud, such as testing stolen credit cards" 2.

The Scale and Automation of Fraud

AI is not only enhancing the quality of fraudulent attacks but also enabling them to occur on an unprecedented scale. The technology allows fraudsters to automate their operations, creating a large number of synthetic identities and credible messages. This automation overwhelms traditional rules-based prevention systems, making it increasingly challenging for merchants to detect and prevent fraud 1.

Emerging Threats and Challenges

The study also points to the rising levels of 'friendly fraud' as a significant concern. This type of fraud, where the customer themselves commit fraudulent activities such as refund fraud, is putting additional pressure on merchant profitability 1. The combination of AI-powered attacks and friendly fraud creates a complex landscape that threatens the entire eCommerce ecosystem.

Recommendations for Merchants

To combat these evolving threats, Juniper Research recommends that merchants:

  1. Implement AI-powered fraud prevention systems to quickly identify and respond to emerging tactics.
  2. Incorporate biometric identification into checkout processes, including methods like liveness detection, to protect against sophisticated AI deepfake fraud attempts 1.

The Global Impact

The implications of this projected increase in eCommerce fraud are far-reaching. With the potential for over $100 billion in losses by 2029, the entire global eCommerce industry faces significant challenges. Merchants, payment providers, and cybersecurity firms will need to collaborate and innovate to stay ahead of increasingly sophisticated fraudsters 2.

As AI continues to evolve, both as a tool for fraudsters and a defense mechanism for merchants, the battle against eCommerce fraud is set to intensify. The findings of this study serve as a wake-up call for the industry to prioritize advanced fraud prevention measures and adapt to the rapidly changing landscape of online commerce.

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