ScoreDetect

Detect edited UGC by combining visual, audio, and text similarity with invisible watermarking and blockchain timestamps.

Multimodal AI, fingerprinting, watermarking, and blockchain timestamps detect cross-format reuse, prove ownership, and speed takedowns.

Build shared embeddings, segment video, and use optimized vector search for fast, accurate media matching and enforceable ownership records.

Five core privacy threats in multimodal content matching—identity linkage, biometrics, profiling, model leakage, and consent failures, with practical fixes.

Breaks down five core barriers—heterogeneous modalities, alignment, fusion, transformations, and scale—to reliable cross-format content matching.

Embed synchronized invisible audio‑video marks and blockchain timestamps to detect edits, sync drift, and partial tampering.

Layered protection for video and audio: invisible watermarking, blockchain timestamps, forensic leak tracing, and AI matching.

Blockchain for tamper-proof timestamps; AI for large-scale detection of edited copies—combine both for proof and monitoring.

Monitor images, video, audio, and metadata with multimodal AI to detect brand misuse, deepfakes, and automate takedowns.