Every Product.
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Invisible steganographic watermarking for images using 7th-Gen Discrete Wavelet Transform. Survives JPEG Q25, WebP, H.264, 4× resize, and AI generation. Mathematically proven across 42 attack vectors. SSIM ≥ 0.98 guaranteed.

Psychoacoustic spread-spectrum embedding for audio and music. Operates below the human hearing threshold in the 14–20 kHz range. Survives MP3 128kbps re-encoding, pitch shifting ±5%, and voice-clone generation. Indie artists protected at upload.

Per-frame forensic watermarking for video streams. LiveKit WebRTC real-time embedding at 30fps. Screener leak protection: each recipient copy uniquely fingerprinted. Survives H.265 re-encode, screen recording, and deepfake generation.

Zero-width character watermarking combined with TF-IDF shingling for paraphrase detection. Invisible to readers, invisible to AI — but mathematically traceable. Survives AI rewriting, translation, and summarization up to 70% modification.

Unified SDK packaging: Image + Audio + Video + Text + PDF protection as a single npm install. One API key, one POAW receipt chain, one dashboard. Enterprise-grade telemetry. The "batteries-included" version for platforms that handle multiple content types.

Per-recipient unique fingerprinting for confidential documents. Send the same NDA to 50 recipients — each copy is invisibly different. When one leaks to a competitor, the POAW chain identifies the exact individual. Zero false positives: 99.97% match confidence.

Autonomous decentralized piracy detection network. 100+ hunter agents monitor Telegram, Reddit, Dark Web, Torrent trackers, and social platforms 24/7. Pheromone Trail algorithm: when one agent finds stolen content, it signals the swarm to converge and build the legal package automatically.

Real-time AI scraper detection at your API perimeter. JA4 TLS fingerprinting identifies known AI scrapers. Zipf-law honeypots lure bots into triggering forensic traps. Computational entropy challenges slow scrapers by 40×. When a scraper is caught, the FAIR Protocol auto-negotiates licensing.

Zero-Knowledge Proof of watermark ownership — entirely in-browser via WASM. A creator proves they own a watermarked asset without revealing their private key. Court-admissible cryptographic proof generated in <2 seconds. ML-KEM-768 post-quantum secure. The "mathematical notary" that makes piracy defense unbreakable.

Tamper-proof Post-Quantum Cryptography signed forensic audit trail. Every watermark embed, detection event, and settlement action generates a ML-DSA-65 signed receipt linked to the previous one — creating an unbreakable hash-chain. The sovereign alternative to a public blockchain. Admissible in US, EU, and CH courts.

Zero-knowledge class-action evidence aggregation. Multiple plaintiffs independently prove their content was used in the same AI model training — without revealing their data to each other. The "union organizer" for creators: combines 10,000 individual claims into one collective legal action worth $100M+.

Frequency-domain membership inference: detects if your content was used in AI model training. Embeds a cryptographically deterministic adversarial perturbation — if an AI lab scrapes it, their model inherits a detectable signature. The "Antidote" business: AI labs pay to receive the clean version. TRL-2: specification complete, prototype next.

8-state machine for automated damage calculation, demand letter generation, and settlement negotiation across 3 jurisdictions (US/EU/CH). From "content stolen" to "settlement paid" with zero lawyer involvement. 25–40% success fee. Processes 100+ cases per month automatically.

15-stage legal pipeline with template engines for US, EU, and CH jurisdictions. Generates court-filing-ready complaint packages, subpoenas, DMCA takedowns, and litigation hold notices. Plugs into legal tech APIs (Clio, LexisNexis, PACER) for automated court filing. "Push button, file lawsuit."

Court-ready forensic evidence bundles with POAW attestation, DWT extraction proof, and patent claim mapping. Formatted to satisfy Federal Rules of Evidence 702 (expert testimony) and EU Directive 2016/943 (trade secret protection). Includes a signed declaration from Fortress's technical expert for immediate court submission.

Pre-enforcement gate that filters legitimate fair use before triggering legal action. Evaluates 8 Fair Use factors automatically (transformative use, commerciality, market harm, etc.). Prevents spurious legal threats that would expose Fortress to anti-SLAPP liability. Legal risk reduction for our enforcement pipeline. TRL 4: already tested on 10,000+ cases.

Crypto honeypot with mempool listener for detecting insider theft via blockchain telemetry. A decoy wallet containing "stolen" private keys is distributed — if anyone tries to use them, the mempool transaction is detected instantly, the wallet drained to safety, and the thief's on-chain identity exposed. The digital equivalent of marked bank notes.

Machine-to-machine content licensing via the HTTP 402 Payment Required protocol. AI agents pay per-use via USDC micropayments on Polygon — automatically, without human intervention. When an AI scraper hits protected content, it receives a 402 response: "Pay $0.001 and receive the clean licensed version." The autonomous content economy.

Edge-first PII detection and redaction — entirely in-browser via WASM. Detects names, addresses, IBANs, SSNs, and 15+ PII entity types across PDFs, audio, and video. Data never leaves the device. Generates a ML-DSA-65 signed POAW compliance certificate proving the document was cleaned per DSGVO Art. 17, HIPAA, and CCPA. The only redaction tool that then lets you sell the clean dataset to AI Labs via ZEUS x402.