
Why Decentralized Trust Requires Different Network Protocols
When autonomous systems interact, trust is no longer a matter of centralized servers, but of decentralized verifiability. “Real-time capability” becomes the bottleneck.

We can no longer trust what we see online: AI-generated content is everywhere, whether it’s completely fabricated deepfakes or original images in which individual elements have been altered. These days, they’re indistinguishable from authentic content to the naked eye. The fact is, therefore, that we need a new foundation for digital trust.
AI detectors (“deepfake scanners”) rely on probabilities and models and can never provide a definitive verdict on the authenticity of content. Furthermore, AI models are constantly evolving and will be better tomorrow than today’s detectors. It’s a never-ending game of cat and mouse.
C2PA - short for Coalition for Content Provenance and Authenticity - aims to address this problem. C2PA is an open standard driven by a consortium of leading tech companies, spearheaded by Adobe.
The C2PA concept: a kind of digital passport for media (images, videos, audio) - called a manifest - that is created at the time of capture and embedded within the media file. Every subsequent edit is documented in this passport, whether it’s an adjustment in Photoshop or video editing, for example. With a single click, consumers can verify: Who took this photo, how was it edited, and was AI used in the process?
So C2PA doesn’t search for forgeries after the fact; instead, it flips the script and certifies the original.
So does C2PA solve the problem of deepfakes? In theory, yes, and it works well in closed ecosystems (for example, within media companies). In practice, however, there are several pitfalls:
TrustNXT’s unique Trust technology addresses this issue and fills the gaps left by C2PA: We bring tamper-proof, authentic image capture to the end customer - without requiring any special devices or apps - and secure the transmission chain from the camera to your systems, guaranteed to be free of AI manipulation or Photoshop.
In addition, we answer the question of the image’s source and establish a clear link between the digital manifest, the exact camera sensor that took the image, and the real-world context.
For the world of manufacturing and automation, our Industrial C2PA portfolio also offers comprehensive solutions that extend the benefits of C2PA with components specifically tailored for industrial systems, establishing end-to-end trust.