Fotoware, a Norwegian Digital Asset Management (DAM) and content operations vendor, has released Content Authenticity, which it says is the first end-to-end implementation of the C2PA standard within a Digital Asset Management system. In practice, this capability ensures that an asset’s provenance chain is kept intact from the moment an image is captured on a C2PA-compliant camera through to its publication on digital channels.
The company says the investment was initially sparked by a project run by Reuters. The proof of concept aimed to address a practical problem for publishers: proving where an image came from, and what has happened to it since.
In the Fotoware platform, provenance data is preserved on ingestion and maintained through the asset's lifecycle, added the company. Every edit, crop or metadata adjustment is recorded in the file's traceable history, including changes made in third-party systems, so the record travels with the asset when it leaves the DAM. The record follows the open standard and can be read by any C2PA-compliant tool.
Fotoware positions provenance tracking as broader than the question of AI involvement, the company continued. As manipulated and misrepresented imagery becomes more common, a verifiable record also serves the more routine purpose of documenting an asset's full lifecycle, for instance establishing that a photograph was taken on a particular day and has not been altered since. Regulation is moving in the same direction, with the EU AI Act requiring organizations to mark content generated or modified with AI.
The company says it also draws a distinction between levels of C2PA support. A system can comply with the standard simply by leaving provenance data intact, which leaves users dependent on external verification tools. Fotoware's implementation includes inspection inside the platform: where an image is composed of several sources, the built-in tool displays each contributing file with its own provenance data, showing not only whether AI was used, but how and to what extent. Files are automatically marked according to their credentials, and can be filtered out on that basis, for example where credentials are invalid or no camera origin is present.
Janniche Moe, chief product officer, Fotoware says: "The goal is for provenance to stop being a feature that one has to actively think about. It should be maintained by default, so that compliance happens because authenticity is handled by the system and not because someone remembered to check. Content Authenticity is the first release toward that, and it won't be the last."
Radmila Stoltz, chief commercial officer, Fotoware says: "In the years to come, we expect provenance tracking to increase in importance. At one point, every content owner is going to expect that the systems they use keep the provenance chain intact. We’ve built this now, so that organizations can take such actions immediately, instead of waiting until they’re the last ones to adapt."
You can find out more about Fotoware in our Publishing Services Directory.
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