A yellow sticky note is placed on top of an iPhone 17, with the word "가나디" written on it. It looks like a familiar authentication shot from a secondhand marketplace. But in reality, this image is a fake authentication photo I created using AI.
Now anyone can create images that look authentic just by typing a few sentences. From the direction of light to shadows and the indentation of text, AI meticulously recreates the realistic traces humans intend. AI has expanded the limits of creativity and accelerated access to information. It automatically enhances product images, lowers barriers to video editing, and enables anyone to easily create professional-level content. Businesses gained efficiency, and individuals gained freedom of expression.
However, the same technology is also used to create "realistic fakes." Communities once circulated warnings about "new AI-based scams," and SNS was flooded with AI-generated authentication shots of non-existent people and products. With AI-generated reviews, synthesized unboxing videos, and even fake transaction verification photos emerging, the standard for "credible evidence" is being shaken.
Reviews, testimonials, and authentication shots have long been symbols of trust in many markets, from e-commerce to logistics. Now, how to prove that trust is becoming a new challenge.
Reviews and unboxing videos once served as simple evidence to build trust in products. But now, all these "trust signals" are being questioned. Consumers are now looking for tamper-proof evidence rather than just images shown to them.
This trend is particularly evident in the secondhand and resale markets. To prove the authenticity of products, platforms have begun to become "verifiers" themselves. Major secondhand platforms operate their own authentication centers or invest in developing genuine product verification technology. They're evolving beyond simply connecting transactions to become entities that distinguish genuine from counterfeit items and manage trust.
However, questions still remain. While determining authenticity has become possible through technology, showing "that the process actually happened that way" is a separate issue. This is why we need records of actual moments—tamper-proof videos—not just data.
AI can now create images, audio, and even videos. It can generate plausible packaging scenes or unboxing videos at will. Therefore, companies, platforms, and logistics centers need to make efforts to prevent cases of AI misuse in advance. In these circumstances, simply keeping records is insufficient. Even when records are kept, a system is needed to manage them so they cannot be easily duplicated, edited, or distributed.
One of the key response methods is implementing tamper-proof video documentation solutions. Solutions like Realpacking go beyond simply saving on-site records as video files—they design control over playback, transmission, and editing to protect trust.
✔ All videos automatically include a separate inscription stating "This is actual footage recorded with Realpacking."
✔ All videos can be viewed in the web management system and sent to customers. When transmitted, they are sent with the Realpacking domain and can only be viewed on the view page provided by Realpacking. Therefore, neither brands nor customers can edit them.
✔ Videos cannot be downloaded and are provided only on a limited basis when necessary.
This trend doesn't stop at simply collecting evidence. The fact that videos remain unmanipulated itself becomes the standard for trust. Therefore, it's important for companies not only to keep videos but also to have internal systems and processes to respond to malicious claims that may arise from manipulated videos or images.
In an era when manipulation has become easier, the integrity of records holds greater meaning than the quantity of records. Ultimately, to maintain trust among customers, departments, and companies, what matters is whether there are tamper-proof video records.
Trust in transactions is now being built on the premise of "video documentation." When exchanging products or using services, whether or not video records exist has become the starting point of trust.
In consumer-to-consumer (C2C) transactions, "video-authenticated transactions" are expanding. Sellers record product conditions on video, and buyers verify the authenticity of transactions through those records. Videos that capture the filming process are far more powerful evidence than a simple photograph.
Changes are also clear in business-to-consumer (B2C) transactions. Video records of pre- and post-delivery processes such as receiving, shipping, inspection, repair, and returns are being utilized as standards for customer service and internal management. Beyond just customer service, videos are expanding as a form of "operational trust" that brands can demonstrate.
In business-to-business (B2B) transactions, videos are also becoming the basis for contracts. Videos recorded during delivery, receiving, and inspection processes are being used as faster and clearer evidence than documents.
Especially in the secondhand and resale markets, "who proved it more definitively" rather than "who packaged it better" has become the standard of competition. Trust is now spoken through tamper-proof video records, not through explanations or words. Videos that capture real processes, not AI-generated images, are becoming the new language of transactions.
In an era overflowing with fakes, simply saying "there is video" is not enough. Trust is created precisely at the point where the video is proven to be unmanipulated. In a world where AI can create almost everything, the need for tamper-proof video documentation is growing even stronger.
How to record and protect all processes that require evidence—such as receiving, shipping, transactions, and deliveries—is becoming the standard that determines a company's trustworthiness. Many brands are already recognizing this change. The more uncertain the world becomes, the greater the importance of tamper-proof evidence videos will be.
