AI content provenance
We implement content provenance: we mark what was created and how — e.g. that an image/text was AI-generated — via standards like C2PA, metadata and watermarks. For transparency, trust and compliance with growing requirements. Honestly upfront: provenance raises transparency but is NOT protection from forgery: marks and watermarks can be removed or lost (screenshot, resave, conversion), the standards are not yet universal and not supported everywhere; it is a trust signal, not a guaranteed and unbreakable proof.
AI content provenance — overview
AI content provenance is implementing mechanisms that record and communicate how content was created: provenance signatures by the C2PA standard (Content Credentials), generation metadata, visible/invisible watermarks for AI images, 'created with AI' marks in the interface. This is needed for transparency to users, trust and compliance with growing requirements (platforms and regulators increasingly require marking AI content). Honestly about the main limitation, this is key: provenance is about transparency and a trust signal, NOT unbreakable protection from forgery. Metadata and signatures can be removed or lost in ordinary operations (screenshot, resave, format conversion, copying); watermarks can be robust but not absolutely — people try and learn to strip them. So an honest person/platform will see the mark, but a malicious one can remove it. Promising 'we will guaranteed prove origin and it cannot be forged' is dishonest. Honestly about standard immaturity: C2PA and similar are developing and NOT supported everywhere — not all platforms, browsers and tools read them; the ecosystem is taking shape. We honestly say where marking is really read and where not yet. Honestly about the effect: it raises transparency, trust and readiness for requirements, helps distinguish your authentic content — but it is not a panacea against disinformation and fakes by itself. Honestly about the link: detecting others' forgeries/deepfakes is a different task (synthetic-media detection 911), and it is also imperfect. Honestly about access: access to the content pipeline is needed. An important boundary: this is marking the provenance of your content; detecting others' fakes — 911; image generation — 876. Picture this: instead of 'unclear what was created by AI' — transparent marking as a trust signal (with an honest understanding of its limits). The base price starts from 40,000 ₽ (depends on content types and standards).
Problems we solve
- It is unclear which content is AI-created — no transparency.
- Requirements to mark AI content grow, but there is no mechanism.
- You need to distinguish your authentic content from forgeries.
- User trust suffers without provenance marks.
What's included in the AI content provenance service
- Implementing C2PA / Content Credentials and provenance metadata
- Visible/invisible watermarks for AI images
- 'Created with AI' marks in the interface
- An honest assessment of where marking is really read (and where not)
- Honest boundaries (marks are removable; standards not universal; not forgery protection)
- Readiness for platform/regulator requirements
- A link with fake detection (911) as a separate task
- Handover and review with you
What you get
- Transparent provenance marking of your content
- A trust signal and readiness for AI-marking requirements
- An honest understanding of limits (marks can be lost/stripped)
- Distinguishing authentic content (no guarantee against forgery)
How the work goes: steps
- We define content types and needed standards; collect access
- We implement signatures/metadata/watermarks in the pipeline
- We honestly show where it is read, set boundaries with you
Why PDV Expert
- Fixed price and timeline — no surprises on the invoice.
- Report and recommendations in plain language — clear without a technical background.
- In touch at every step and answering questions about the result.
FAQ
Will marking protect my content from forgery?
No, and that is honest: provenance is about transparency and trust, not unbreakable protection. Metadata and signatures can be removed or lost in ordinary operations (screenshot, resave, conversion), and watermarks are attempted and learned to be stripped. An honest person/platform will see the mark, a malicious one can remove it. It is a trust signal, not a guaranteed proof that cannot be forged.
Do the marking standards already work everywhere?
No, honestly: C2PA/Content Credentials and similar are developing and not supported everywhere — not all platforms, browsers and tools read them. The ecosystem is taking shape. We will honestly say where marking is really read now and where not yet, so you understand the real benefit rather than count on universal support that does not yet exist.
Will this help catch others' deepfakes?
No — that is a different task, honestly. Marking is about indicating the provenance of YOUR content. Detecting others' forgeries and deepfakes is a separate service (synthetic-media detection 911), and it is also imperfect (an arms race). We honestly separate them: provenance makes your content transparent but does not detect others' fakes.
About the provider
The «AI content provenance» service is provided by PDV Expert — a team specialising in «Site quality». We work under contract and deliver a written report with recommendations.