
Succinct Launches App to Combat AI-Generated Fakes
Succinct Labs launches ZCAM, an iPhone app for verifying photo and video authenticity.
Backed by Paradigm, the startup Succinct Labs has introduced ZCAM, an iPhone application for cryptographic verification of the authenticity of photos and videos.
Today, we’re launching ZCAM, an iPhone camera app to Prove What’s Real.
ZCAM cryptographically signs photos and videos at the moment of capture. Anyone can independently verify the content came from a real device and hasn’t been altered or AI-generated. pic.twitter.com/nHAYqVK1mW
— Succinct (@SuccinctLabs) April 23, 2026
ZCAM signs media files at the moment of capture, creating a tamper-proof record that links the content to the device it was captured on.
Users can independently verify that an image or video was obtained from a real device and not generated or altered using AI tools.
Technology
The application is based on a cryptographic fingerprint. When a user takes a photo or video on an iPhone, ZCAM generates a hash based on the captured pixels. Succinct’s developers claim this approach is more reliable than commercial detectors, which can fail.

The project conducted research showing that detectors perform well with unmodified images. However, simple edits like blurring and compression reduced their effectiveness to 96%.

Context
Succinct released the tool amid growing risks associated with generative artificial intelligence.
The team cited forecasts from Deloitte, predicting that losses from AI-driven fraud in the US could rise from $12.3 billion in 2023 to $40 billion by 2027.

Succinct Labs is developing infrastructure for zero-knowledge proofs. In 2024, Paradigm led a $55 million funding round for the company, with participation from the founders of Polygon and EigenLayer.
Succinct’s SP1 zkVM technology protects over $4 billion in digital assets. In August 2025, the startup launched the mainnet of the Succinct Prover Network and the PROVE token.
The project’s blockchain operates as a decentralized marketplace on Ethereum. Applications send requests for zero-knowledge proofs, and independent participants compete to fulfill them.
In January, App Store and Google Play blocked dozens of AI applications for “undressing” people.
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