Introduction

The insurance industry is increasingly targeted by sophisticated fraud attempts, with deepfake technology emerging as a significant threat. Deepfakes – synthetically generated videos, images, or audio – enable criminals to create fake claims, manipulate video evidence, and forge identities, making it harder for insurers to verify the authenticity of claims and customer identities.

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The Problem: Deepfake Risks in Insurance

The use of deepfake technology in insurance fraud has been on the rise. Fraudsters are nowleveraging synthetic media to fabricate claims, manipulate video evidence, andimpersonate policyholders, leading to substantial financial losses.

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Key Industry Insights:

• A surge in manipulated vehicle damage photos, where scammers edit images to show fake crash damage, has driven up motor insurance costs in the UK (Source: The Guardian, 2024).
• Allianz reported a 300% rise in shallowfake claims between 2021 and 2023, heavily impacting motor insurance (Source: The Guardian, 2024).
• Deepfake scammers used AI-driven technology to conduct a fraudulent video conference, resulting in a $25 million theft (Source: CoverLink Insurance, 2024).
• Fraud attempts using deepfakes surged by 2,137% over the past three years, impacting insurance firms worldwide (Source: Insurance Times, 2025).
• North America experienced a staggering 1,740% increase in deepfake-related fraud in 2023 (Source: Eftsure, 2024).
• Zurich UK highlighted how deepfake technology is pressuring claims handlers to spot manipulated media, increasing the risk of fraudulent payouts (Source: Zurich UK, 2024).

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Key ThreatsInclude:

• Claims Fraud: Staged accidents or property damage using manipulated videos and photos.

• Identity  Fraud: Use of AI-generated faces and voices to impersonate policyholders.
• Medical Fraud: Deepfaked medical records or video consultations to secure unwarranted payouts.

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The Solution: Genui Deepfake Detection Technology

Datambit's Genui Deepfake Detection Engine is designed to analyse media submissions forsigns of manipulation in real-time. Through advanced AI algorithms, itidentifies synthetic artefacts in videos, images, and audio files, allowinginsurance companies to validate claims more accurately and prevent fraudulent activities.

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How It Works:

• Video Analysis: Frame-by-frame scanning detects digital manipulation in accident footage or damage reports.
• Voice Authentication: Prevents claimants from using voice-cloning technology to authenticate false claims.
• Image Verification: Identifies GAN-generated images and pixel-level inconsistencies.

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Conclusion: Securing the Future of Insurance

Deepfake technology represents both a challenge and an opportunity for the insurance sector. With fraud attempts rising, insurers must adopt cutting-edge solutions to defend against synthetic media. Datambit's Genui provides the critical layer of verification needed to expose fake claims, authenticate video evidence, and restore trust in digital submissions. As the industry evolves, Datambit is committed to fortifying the insurance ecosystem against AI-driven fraud. As deepfake technology advances, so do the risks to the insurance sector. Datambit's Genui solution equips insurers with the tools to combat synthetic fraud, secure claims processing, and maintain customer trust. In a digital-first world, Genui is redefining security and verification in insurance.

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Fortify Your Claims Process Against Fraud

Prevent deepfake fraud before it happens. Discover how Genui can secure your claims process, protect your policyholders, and elevate trust in your insurance brand.

📧 info@datambit.com
🌐 www.datambit.com
📍 London,United Kingdom

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Reference List

1. Fraudsters Editing Vehicle Photos to Add Fake Damage in UK Insurance Scam. The Guardian, May 2, 2024. Retrieved from The     Guardian
2. Deepfake Scammers Con Company Out of Over $25 Million. CoverLink Insurance, March 11, 2024. Retrieved from CoverLink     Insurance
3. Deepfake  Statistics (2025): 25 New Facts for CFOs. Eftsure, 2024. Retrieved from Eftsure
4. Insurance  Must Prepare for a Rise in Deepfake AI Fraud. Zurich UK, January 23, 2024. Retrieved from Zurich     UK
5. Fraud  Attempts with Deepfakes Surge Over Last Three Years. Insurance Times, February 21, 2025. Retrieved from Insurance     Times
6. The  Face That Lied: A Case Study in AI-Driven Insurance Fraud. LinkedIn Article, April 23, 2025. Retrieved from LinkedIn     Article
7. Deepfakes in the Insurance Market – A Personal Injury Perspective. Kennedys Law, 2024. Retrieved from Kennedys     Law
8. Deepfake  Detection Software Helping Insurers Fight Fraud. InsuranceNewsNet, December 2024. Retrieved from InsuranceNewsNet