Cryptographic infrastructure that makes streaming fraud mathematically impossible — not just detectable.
Bot farms. Fake accounts. Artificial plays. Click farms running thousands of headless browsers 24/7. The scale is industrial.
Current defenses rely on behavioral heuristics, post-event analysis, and pattern matching. All of them share the same fatal flaw: they detect fraud after it happens. And all of them are bypassable.
Heuristics can be mimicked. Patterns can be randomized. Post-event analysis means the damage is already done.
Detection is not prevention. The industry needs prevention.
Behavioral analysis. IP reputation. Listening-time heuristics. All reactive. All bypassable. Fraud farms adapt faster than detection models update.
Cryptographic device attestation. Encrypted biometric identity. Proof-of-work bot prevention. Encrypted content classification. Four layers of prevention, not detection.
Not detection. Prevention. Each layer makes a different class of fraud mathematically impossible.
Every stream gets a 192-byte STARK proof bound to a real device. Hardware fingerprint, network jurisdiction, endpoint integrity. Verified in under 1 microsecond.
Bot farms running headless browsers cannot produce valid proofs. The proof requires a physical device with verified hardware state. 16ms to generate. Fits in an HTTP header.
Per-stream proof · 16ms generation · <1µs verification
Artist identity verified through FHE-encrypted biometrics. The platform never sees the raw biometric data. The system returns a cryptographic yes or no.
Cannot create fake artist accounts when each requires a verified unique human. No synthetic identities. No duplicate registrations. One real person per artist profile.
Encrypted biometric throughput · 35.25µs per auth
Proof-of-work challenge on every play request. Invisible to real users on real devices. Bots burn compute at scale — economically unviable.
The cost to fake one stream exceeds the revenue from that stream. At bot-farm scale, the economics collapse entirely. A single script tag deploys it.
Challenge-response for real devices · Invisible to users
Encrypted ML classifies whether audio is AI-generated versus human-performed. The model runs on ciphertext. The platform never accesses raw audio.
Privacy-preserving detection of synthetic content. No raw audio leaves the encryption boundary. The classification result is a signed attestation, not an opinion.
Classification on encrypted audio · Zero plaintext exposure
No platform rebuild required. H33 fits into existing infrastructure.
Every stream, upload, and play event produces an H33-74 attestation — 74 bytes, post-quantum signed, independently verifiable. Three independent hardness assumptions: MLWE lattices, NTRU lattices, and hash-based signatures.
Labels, distributors, auditors, and regulators can verify any stream's authenticity without trusting the platform. The proof is mathematical, not behavioral. It does not degrade. It does not have false positives.
Any party can verify. Labels do not need to trust the platform. Distributors do not need to trust the label. Regulators do not need to trust anyone. The cryptographic proof is self-verifying. 7 patents pending. 300+ claims.
Production numbers. Sustained. Independently reproducible.
| Component | Latency | Detail |
|---|---|---|
| DeviceProof generation | 16ms | 192-byte STARK proof bound to device hardware |
| DeviceProof verification | <1µs | Server-side, fits in request pipeline |
| Biometric auth | 35.25µs | 2.29M auth/sec sustained · FHE-encrypted |
| BotShield challenge | Sub-ms | Proof-of-work · invisible to real users |
| H33-74 attestation | 42µs | 74 bytes · post-quantum signed · per stream |
Zero user-perceived latency. DeviceProof generates while the page loads. BotShield runs in the background. Biometric verification happens once at upload. H33-74 attestation commits after the stream starts. The listener notices nothing.
Cannot produce valid DeviceProof. Headless browsers lack hardware attestation state. Every fake stream is rejected before it plays.
Cannot pass encrypted biometric verification. One verified human per artist profile. Synthetic identities are cryptographically impossible.
BotShield proof-of-work makes bulk streaming economically unviable. The compute cost to fake streams exceeds the revenue they generate.
Encrypted ML classification detects synthetic audio without accessing the raw content. The platform cannot be used to launder AI-generated music as human-performed.