ChatGPT, generative AI & document fraud: are we already outdated?

1. A game-changing update: ChatGPT 4.0 and the generation of realistic images

• The most recent version of ChatGPT 4.0 and its capabilities in terms of generation of ultra-realistic images have taken a leap forward.
• Key figure: Hundreds of millions of images generated since the ChatGPT 4.0 update a few weeks ago. Perfect faces and documents, of a quality close to reality.
• This evolution allows anyone to access the creation of digital identities fictional, defying current verification technologies.
• Impact on document fraud: A double-edged sword. On the one hand, an incredible technological advance, on the other, increased risks of falsification.

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2. Identity fraud and generative AI: the perfect cocktail for criminals

• Fake passports, fake ID cards, fake bills: Generative AI technologies make it possible to create documents that perfectly imitate the real ones, with visual and textual details that are almost impossible for traditional systems to detect.
• Deepfakes: Generative AI isn't limited to static images. Of Deepfakes More and more sophisticated are being used to create fake videos, making fraud even more credible.
• High risk sectors: Les Fintechs, neobanks, insurances and market places Online users are particularly at risk of this threat, as they need to verify the identity of users on a large scale, often without advanced detection tools.

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3. Why traditional verification systems are insufficient to combat document fraud

• OCR alone is no longer enough: Traditional character recognition (OCR) systems cannot detect images created by AI.
• Human validation is too slow and fallible: Employees, while experienced, can't compete with the speed and efficiency of AI in detecting fake documents.
• Detection of inconsistencies behind documents: Current solutions don't look deep enough at the metadata and logic behind images. A visual check alone is no longer sufficient.

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4. How AI can also protect: a double-edged sword

• Defensive AI: While generative AI is used for fraud, it can also be used to detect anomalies in documents. Advanced systems of image recognition make it possible to identify subtle inconsistencies in documents (image quality, metadata, visual inconsistencies).
• Cross analysis: AI can also analyze facial biometries and cross-reference data with external databases to guarantee the authenticity of identity documents.
• Solutions like Dataleon: These technologies make it possible to secure digital identity and to quickly detect fraud before it causes significant damage.

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5. What should businesses do right now to counter AI-generated document fraud?

• Audit current processes: Businesses need to review their identity verification systems to ensure they incorporate technologies that can detect fake AI-generated documents.
• Identify weak spots: Businesses need to be aware of the vulnerabilities in their document validation system, whether it's manual verification or traditional OCR tools.
• Implement advanced verification solutions: Verification technologies multimodal (image analysis, biometrics, data cross-checking) are essential to prevent fraud. The integration of solutions such as Dataleon makes it possible to protect sensitive data and to increase the effectiveness of fraud detection.

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