Building proactive, intelligence-driven defences for the AI era
Fraud has evolved. What was once an occasional threat has become an organised, industrialised, AI-driven business. Global online payment fraud losses are forecast to exceed $343 billion by 2027, while fraudulent returns already represent a $50 billion problem for online retailers. And for every $100 in fraudulent orders, retailers lose almost twice as much once shipping, restocking, and service costs are factored in.
As AI reshapes digital commerce, it’s also empowering fraudsters to innovate at unprecedented speed. Deepfakes, synthetic identities, and “fraud-as-a-service” models are bypassing static defences with ease, rendering reactive prevention strategies less effective.
Retailers now face a critical choice: adapt to this new reality or risk being left exposed.
This e-book explores how to respond confidently, using the best combination of AI, data, and engineering to stay ahead.
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