Gate News message, April 24 — Succinct Labs, backed by Paradigm, unveiled ZCAM on Thursday, an iPhone app that uses cryptography to fingerprint photos and videos in order to combat AI-generated and altered media. The app signs photos and videos at the moment of capture, producing a tamper-proof record that links content to the device that captured it, enabling users to independently verify that media came from a real device and was not digitally altered or generated.
When someone takes a photo or video using their iPhone, ZCAM generates a cryptographic hash from the captured pixels. According to Deloitte’s Center for Financial Services, generative AI could cause fraud losses to reach $40 billion in the United States by 2027, up from $12.3 billion in 2023. Succinct’s research found that commercial AI detectors can easily fail, prompting the company to tap device hardware to generate unique cryptographic signatures.
Paradigm led a $55 million financing round in Succinct Labs in 2024, with participation from the founders of Polygon and EigenLayer. Succinct’s SP1 zero-knowledge virtual machine (zkVM) currently secures over $4 billion in digital assets. The company launched the mainnet for its Succinct Prover Network last August, activating its native PROVE token. The decentralized marketplace on Ethereum allows applications to submit zero-knowledge proof requests, with independent provers competing to verify them.
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