Deepfakes and synthetic media are now showing up in everyday fraud queues. Attackers are using AI to generate faces, documents, and videos that look real enough to pass basic checks, and they are using them across onboarding, liveness, support calls, and claims. These tools are getting easier to use, faster to run, and harder to spot by eye.

But most fraud and AML systems were never built to detect AI-generated content. Legacy controls look for low-effort spoofs, not high-quality synthetic faces or injected video streams. As deepfakes get better, manual review becomes slower and less reliable, and gaps in KYC, job interviews, and support calls become easier to exploit.

This guide breaks down:

• Different types of deepfakes and how they work
• Where they show up across onboarding, payments, scams, and disputes
• The myths that mislead risk teams, and what signals matter instead
• Practical detection techniques your team can use today
• How to build a layered defense against deepfakes and AI fraud
• How Sardine helps customers prevent AI-driven financial crime

Download the guide to learn how to detect and prevent deepfake attacks.

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