C2PA has become one of the most referenced standards when discussing AI-generated content—and for good reason. It is a solid, widely supported framework backed by companies like Adobe, Google, and Microsoft.
However, there is a critical limitation: C2PA alone is not sufficient to comply with the EU AI Act.
The AI Office Code of Practice is explicit about this. The expected approach is not based on a single technology or isolated solution, but on a multi-layer system. Compliance is not achieved through one mechanism, but through the combination of several.
The reason is simple: each layer addresses a different part of the problem.
C2PA operates at the metadata level. It enables verifiable information and provides an interoperable standard across platforms. But it also has structural weaknesses—metadata can be removed, may not survive transformations, and ultimately depends on the content retaining that data.
Because of this, the regulatory approach goes further.
What a complete system looks like
A complete system includes invisible watermarking to detect content even after modification, credentials like C2PA to provide structure, immutable logging to ensure independent auditability, and public verification so any third party can validate content without friction.
Only the combination of these layers enables real compliance.
Relying on a single layer creates a false sense of security. This is one of the most common and most dangerous misconceptions in the market today. Many organizations believe they are compliant when they are not.
That gap becomes critical as enforcement approaches.
If you want to see how these layers are combined into a single implementation:
Explore AI Act 50 →