Confirming that a document is genuine in the age of AI means verifying three things: that the document was issued by the party it is attributed to, that its content has not changed since it was issued or signed, and that the person who signed it is truly who they claim to be. AI-generated forgery tools can now produce documents, signatures, stamps, voices and images that look genuine to the naked eye. As a result, visual inspection is no longer enough, and verification now relies on technical evidence, most notably a certificate-based digital signature, an audit trail and identity verification through national platforms.

We are writing this article for risk and security leaders in Saudi organizations. It covers today's common document forgery patterns, why traditional verification methods fail against them, the technical evidence you can rely on, and how an organization can build procedures that reduce the risk of accepting a forged document.

Quick summary

• AI tools have made forging documents, signatures and stamps easier and cheaper, and harder to spot by eye.
• Visual inspection is not enough for verification, because an image of a signature or stamp can easily be copied or generated.
• A certificate-based digital signature reveals any modification made to a document after it is signed, and binds it to a specific identity.
• A document's source matters more than its appearance: a document delivered through a trusted platform with an audit trail is stronger than a file received by email.
• At Signit, we are a trust service provider licensed by the Digital Government Authority, and we provide an audit trail that records who signed, when and from which device.

What has AI changed about document forgery?

What has changed is that forgery no longer requires high skill or a lot of time; generative AI tools produce convincing documents, signatures, images and voices in minutes.

In the past, forging an official document required expertise in design and in copying stamps and signatures, and mistakes usually surfaced during review. Today, it is possible to generate a letter on the letterhead of a well-known organization, an invoice in a format identical to a real supplier's invoices, or a bank statement with consistent figures, using publicly available tools.

What are known as deepfakes are also spreading: visual or audio content generated or altered by AI to imitate a real person. A finance employee might receive a call in a voice resembling their manager's, asking for an urgent transfer, or a video call with a familiar face. Relevant authorities in the Kingdom regularly publish warnings about financial and online fraud.

What forgery patterns target organizations?

Organizations are targeted by patterns that combine a forged document with social engineering, that is, exploiting trust and urgency to push an employee into accepting a document or carrying out a request without sufficient verification.

What these patterns have in common is that they succeed when verification is based on appearance: does the stamp look right? Does the signature resemble what we have seen before? Is the voice familiar? These are all questions AI can now get past.

Why isn't visual inspection enough?

Visual inspection is not enough because what a person sees in a document, such as the signature, stamp and letterhead, can now be copied and generated with high precision, and carries no evidence in itself of its source or integrity.

An image of a signature on a PDF file is nothing more than an image. It can be copied from a previous contract and pasted onto a new one, and the eye will see no difference. The same goes for a scanned stamp. Even if the original document is intact, a figure, date or clause in it can be changed and the file saved looking exactly the same.

Attempts are emerging to detect forgery with counter-AI tools that analyze images and text. But these tools estimate probability rather than prove authenticity, and forgery tools evolve alongside them. So an organization is better off not building its trust on detecting forgery after the fact, but on evidence of authenticity built into the document from the moment it is created.

How does a digital signature prove a document's authenticity?

A digital signature proves a document's authenticity because it binds the content to the signer's identity cryptographically, so any change after signing, even a single character, breaks the verification and is immediately visible to the other party.

A digital signature works by computing a hash of the document, a cryptographic value that changes completely with any modification, and then signing that hash with the signer's private key. When the document is opened, the application recomputes the hash and checks it against the signature using the public key contained in the signer's digital certificate. If they match, the document has not changed and the signature was issued by the certificate holder.

A timestamp adds evidence of when the document was signed, so no one can claim it was signed on a different date. For the technical details, see the article "Digital certificates and public key infrastructure", and for the difference between this type and a signature image, see the article "The difference between digital and electronic signatures".

Why do identity verification and document source matter?

Identity verification matters because a digital signature proves that the key holder signed, which leaves the question of how we confirmed that the key holder is the right person. The source matters because a document delivered through a trusted channel is hard to swap out.

Verification through Nafath, the unified national access platform, and Absher, the Ministry of Interior's e-services platform, links the signer to an official government record. This makes impersonation far more costly than verification by an email address that can be hacked or created. For details, see the "Nafath and Absher" article.

As for the source, it means that the document is signed, stored and retrieved from a single trusted platform, rather than circulated as a file over email and messaging apps. When the finance team receives a PDF by email claiming to be the signed contract, it is hard to be sure it was not altered along the way. But when the contract is opened from the platform itself, together with its audit trail, the evidence is right there.

At Signit, we enable signer verification through Nafath, Absher and Wathq, in addition to verification codes via email, SMS and WhatsApp. We are a trust service provider licensed by the Digital Government Authority, and we provide an audit trail that records who signed, when and from which device, with data hosted inside the Kingdom.

What does the risk team review in the organization's procedures?

The risk team reviews the points where documents are accepted or requests are executed based on a document or a call, and for each point defines the appropriate verification method and an independent confirmation channel.

This ties into approval governance within the organization. If approving payments and contracts goes through a documented workflow with defined permissions, a fraudster cannot easily shortcut it with a call or an email. See the article "Automation and trusted workflows".

What are the common mistakes in tackling document forgery?

The most common mistake is continuing to accept image signatures as proof of approval. Many organizations still accept contracts and letters with scanned signatures because it is easy and familiar. But these signatures are the easiest to forge and provide no evidence in a dispute.

Another is relying on the request channel itself for verification. If a request to change a bank account arrives by email, replying to the same email to confirm does not help, because the fraudster controls that channel. Real verification happens through an independent, pre-known channel, such as a phone number registered in the supplier's file.

Some teams make the mistake of believing that forgery detection tools solve the problem. These tools are useful for screening, but they give probabilities that can be wrong in both directions, and they usually lag behind the latest forgery techniques. It is better to build authenticity into the document from the moment it is created.

Finally, employee training is sometimes overlooked. Even the strongest technical controls weaken if an employee bypasses them under the pressure of urgency or the caller's authority. Awareness of modern fraud patterns, and encouraging people to verify without embarrassment, is an essential part of the defense.

How can an organization protect itself from forged documents?

An organization starts by identifying its risk points, then moves important documents to digital signatures within a trusted platform, adopts independent verification channels, trains its teams, and reviews its procedures regularly.

Frequently asked questions

Conclusion

In the age of AI forgery, a document's appearance is no longer proof of its authenticity. Today the evidence is technical: a digital signature that reveals any modification, identity verification through national platforms, an audit trail that records the path, and a trusted platform where the document is stored and retrieved. An organization that builds this evidence into its operations, and backs it with independent verification channels and aware employees, greatly reduces the chances of fraud succeeding.