Original Pictures vs Reality Defender: Provenance vs Detection
Definition: Reality Defender is a deepfake-detection company that analyzes media to estimate whether it is synthetic. Original Pictures is a provenance company that signs authentic content so the unsigned or invalid is the suspect.
TL;DR: Detection and provenance solve the problem from opposite ends. Detection scores existing media and degrades as forgers improve, because every public detector trains the next one. Provenance signs at the source and improves as adoption grows. Many deployments use both.
Detection's strength and ceiling
Reality Defender is well regarded in detection, scoring media for signs of synthesis. That is valuable for unsigned content you cannot control. The structural ceiling is the arms race: published detectors train better forgers, so accuracy on novel fakes erodes over time.
Provenance's different curve
Provenance does not score pixels. It signs authentic content so a fake is identified by the absence of a valid chain. As more creators and platforms sign, the share of verifiable authentic content grows, and the approach strengthens rather than degrading.
Use both
They are complementary. Sign what you produce so it is verifiable, and run detection on the unsigned inbound stream where provenance does not yet exist. Provenance is the deterministic primary; detection is the probabilistic backstop.
The incident behind this
The arms-race dynamic is concrete: published detection research has repeatedly been used to improve the very forgers it was meant to catch, which is the case for provenance as the primary defense.
FAQ
Should I drop detection entirely?
No. Detection covers unsigned content. Use provenance as the primary, deterministic layer and detection as a backstop for media without a manifest.
Where Original Pictures stands today
Original Pictures ships three things today: a Sign API, a Verify API, and the SDKs that wrap them. One POST /v1/sign attaches a C2PA-format manifest, an invisible TrustMark watermark, and an OpenTimestamps anchor. The open-source verifier checks any of it without calling us.
Two things are on the near roadmap, and we name them as roadmap, not as shipped: C2PA Conformance Program recognition (target Q3 2026, until then our manifests use the published C2PA v2.2 format and any C2PA-aware validator can read them, but third-party validators will show our signer as not-yet-listed), and a consumer capture app (Q3 2026). We do not sell a capture SDK, and we do not claim Trust-List membership we do not yet hold.
Bottom line: Detection scores the past and fights an arms race; provenance signs the present and improves with adoption. Sign what you make, and use detection on the unsigned remainder.
Related
Original Pictures is progressing through the C2PA Conformance Program; our signing certificate is not yet on the official C2PA Trust List. Target: Q3 2026. We will not describe ourselves as "C2PA-certified" until it is true.
Original Pictures provides content-provenance infrastructure. It does not by itself constitute legal compliance with the EU AI Act or any other regime; compliance depends on how you deploy it, your disclosures, and your governance. Figures are drawn from public reporting, verify against primary sources before citing in regulated materials. Nothing here is legal advice.
Last verified 2026-05-25. Author: Mahdi Kazempour, Founder, Original Pictures.