Blog
Short, practical notes on provenance, evidence, and what’s coming next.
C2PA manifests are useful, but metadata can be stripped in repost pipelines. Robust verification needs an additional media-native signal and log-backed recovery path.
Deep Scan is built for hard cases. When watermark signal is severely damaged, we compare recovered traits against internal logs and media parameters to return an attribution confidence score.
DeadMark SDK remains free for embedding and generation workflows. DeadDetect API is the paid verification layer for scale, enforcement, and operator evidence tooling.
A single image can trigger payouts, panic, or policy decisions. Here’s how synthetic media slips into the evidence chain — and how to build verification that survives real-world edits and reposts.
“AI-generated” is not the whole story. Teams need proof that is recoverable, explainable, and operational at platform scale.
Regulations and platform policies are converging on the same idea: disclose synthetic content and be able to verify it. Here’s a checklist you can implement without rebuilding your entire stack.
- • Backend verification integration patterns (queues, moderation tools, APIs)
- • Evidence UX for internal operators (not public-facing watermark visuals)
- • Survivability testing under transforms and platform processing
- • C2PA + internal UID/log workflows for redundancy
We keep posts practical: what changed, what was measured, what failed, and what operators can actually verify. Less marketing language, more implementation signal.
For external regulatory updates and credible sources, see the News page.