Most forensic scanning and computer vision APIs ask you to trust a promise: we’ll keep your uploaded media safe. The problem with a promise is that it can be broken by a single misconfigured storage bucket or third-party scraping vector — which is exactly how massive datasets of private photos and personal videos have leaked elsewhere. Sealed Rose is built on a different principle: we can’t leak what we never store.
Media is processed in volatile memory, never persisted
When you upload a video or image for deepfake analysis or reverse likeness search, the byte stream is streamed directly into ephemeral RAM containers. Our neural models execute frame decomposition, optical flow analysis, and spectral coherence testing in volatile memory. The moment the forensic score is calculated, the memory buffer is wiped.
Zero training on customer scans
Customer files are never used to train, fine-tune, or calibrate AI models. Unlike consumer generative apps that claim broad licenses over user uploads, Sealed Rose operates as a pure verification utility. Your media remains strictly yours.
Cryptographic provenance & attribution
For authenticated assets and likeness protection, Sealed Rose works with cryptographic provenance metadata. If synthetic duplicates or unauthorized deepfakes of your likeness appear online, provenance signatures help demonstrate original authenticity and provide an evidentiary basis for statutory DMCA and TAKE IT DOWN Act takedown requests.
Privacy is the architecture
Security isn’t an afterthought bolted on with marketing disclaimers — it’s how our pipeline is engineered from the bottom up. Fast inference, zero long-term retention, and verifiable cryptographic authenticity. That is how digital reality is defended.