// Digital Asset Protection — Powered by Google AI
Sports IP Piracy Stops Here.
Every second, stolen sports footage is re-uploaded, re-encoded, and monetized without rights holders ever knowing. SentinelAI generates cryptographic DNA for every asset and runs a continuous AI cascade to detect every mutation — exact reposts, crops, overlays, screen captures — before they go viral.
// The Problem
Piracy Moves at Machine Speed
Sports broadcasters lose an estimated $28 billion annually to digital piracy. A final highlight lands online and within minutes it exists on a dozen platforms in mutated forms — cropped, re-encoded, screen-captured with watermarks burned off. Traditional takedown workflows are manual, slow, and always one step behind.
Rights holders need detection that matches the speed of infringement. SentinelAI matches it — and exceeds it.
// Piracy Mutations SentinelAI Catches
// Step 1 — Asset Registration
Digital DNA in Four Stages
Upload a video. SentinelAI builds a multi-layer fingerprint before the clip ever goes public — so any future copy can be matched against an immutable record.
Source Hash
Cryptographic fingerprint of raw bytes — the immutable ground-truth anchor for every scan.
AI Watermark Token
Google SynthID-style token bound to asset identity — survives compression and re-encoding.
Keyframes + Scene Context
Keyframes extracted at scene changes, perceptually hashed via dHash, then Gemini annotates each shot — entities, actions, visual context — for rich frame-level intelligence.
Semantic Passport
Gemini generates the full content passport: scene-by-scene transcript, audio analysis, and semantic tags — all embedded into Pinecone for cross-mutation search.
// Step 2 — Continuous Detection
Three-Stage Cascade — Fast to Deep
Ordered pipeline — lightweight checks run first, Gemini is called only when needed. Every decision is logged with confidence scores and a full audit trail.
// STAGE A — INSTANT
dHash + SynthID
Hamming distance under 10 bits → instant confirmed match. SynthID token lookup catches exact reposts in milliseconds.
// STAGE B — SEMANTIC
Semantic Embeddings
Gemini Embedding 2 (3072-dim) + Pinecone cosine similarity. Catches cropped, re-encoded, and overlay mutations that fool perceptual hashes.
// STAGE C — AI REASONING
Gemini Reasoning
Gemini Flash describes the suspect clip and compares it to the content passport. Handles screen captures, audio-only reuse, and adversarial edits.
// Step 3 — Intelligence Layer
Provenance Graph
Every confirmed match writes to a Neo4j Aura cloud graph. Nodes represent original assets, pirated clips, and platforms. Edges carry confidence scores and mutation labels — exposing the full distribution tree of illegal republishing.
Gemini analyzes each graph cluster for risk level and recommends automated action: DMCA notice, escalation, or monitoring. One click generates a pre-filled takedown email.
// Google AI Stack
Content Passport generation, Stage C reasoning, graph risk analysis
3072-dimensional semantic vectors for cross-mutation similarity search
AI watermarking for provenance chain — survives re-encoding
Vector index for sub-second semantic search at scale
Serverless deployment; all video assets stored in Firebase Storage
Cloud graph DB for violation relationship mapping