IP Protection
That Guarantees Infringement
BrainPredict's 7-Lock architecture makes it mathematically impossible for any competing enterprise AI OS to avoid infringing at least one of our 95 patents. Runtime integrity checks, canary tokens, honeypots, and trapdoor computations provide forensic proof of any copying attempt.
The 7-Lock Infringement Architecture
Any enterprise AI OS competing with BrainPredict must use at least one of these 7 patterns — each covered by BrainPredict patents. The architecture is designed so that regulatory compliance itself forces infringement.
EU AI Act Art.9 mandatory compliance → Lock 2 infringement · GDPR Art.22 mandatory → Lock 3 or Lock 4 · NIS2/CRA post-quantum mandatory → Lock 5
Intelligence Bus Events
Real-time AI prediction delivery requires event-driven architecture. Polling alternative = 10× latency → commercially non-viable. Any IB pattern for AI prediction infringes.
EU AI Act Art.9 Compliance
EU AI Act Art.9 is legally mandatory for high-risk AI. BrainPredict's structural gate is the only practical implementation. Any Art.9-compliant production gate infringes.
HITL Workflow Gates
GDPR Art.22 + EU AI Act require human oversight for high-impact AI. Threshold-based HITL in typed workflows is the only scalable pattern. Any automated HITL workflow infringes.
Explainability + Audit
GDPR Art.22 requires explanations. EU AI Act Art.9 + DORA require immutable audit. SHAP+Merkle is the only tamper-proof combination. Any GDPR-compliant AI OS infringes.
Post-Quantum IB Encryption
NIST FIPS-203 post-quantum will be mandatory under EU CRA by 2027. Any FIPS-203 compliant enterprise AI OS uses Kyber-768 for event encryption and infringes.
Federated DP Learning
GDPR data minimisation (Art.5(1)(c)) for cross-company AI requires federated learning with DP. DP-FedAvg is the standard approach — infringes BP-089.
BERT AI Query Routing
Any enterprise NLQ interface must route queries to domain AI. BERT is the universal approach without external LLM. Any BERT-routed enterprise AI OS infringes BP-076.
Anti-Reverse-Engineering Defense Stack
8 independent layers — any one of which produces court-admissible evidence of copying or circumvention
Runtime Integrity Verification
HMAC-SHA3-256 verification of all service files at startup. Any tampering or extraction immediately detected. Evidence published to the Merkle ledger.
Algorithmic Fingerprinting
Every prediction carries an invisible AFP (Algorithmic Fingerprint) — a 4-bit statistical marker in the confidence score. Survives exfiltration. Proves BrainPredict origin in competitor systems.
Canary Tokens
Unique HMAC-SHA3-256 canary tokens embedded in every API response. If our output appears in a competitor's product, the token activates and publishes forensic evidence automatically.
Honeypot Endpoints
8 realistic-looking internal endpoints attract reverse engineers. Every access logged forensically with SHA3-256 fingerprint. Critical-severity accesses trigger immediate legal workflow.
Trapdoor Computations
Honeypot responses contain subtly incorrect computations (weights summing to 1.0001, learning rate 10× too high). Detection in competitor products proves copying with mathematical certainty.
Behavioral Fingerprinting
Usage patterns tracked per client: endpoint enumeration rate, parameter fuzzing depth, schema probing frequency. High RE score → automatic forensic evidence collection.
Automated DMCA Enforcement
Violations auto-generate DMCA §512(c) takedown notices and EU Directive 2016/943 trade secret violation reports. Chain-of-custody evidence packages for courts.
Patent Claim Interlock Graph
95 patents form an interlocking graph: designing around patent X forces use of patent Y. Every design-around path is blocked. No competitor can avoid all 95 patents.
Multi-Jurisdictional Legal Framework
Our IP is designed to be inescapable
95 patents. 7-Lock infringement architecture. 8-layer anti-RE defense. Multi-jurisdictional legal framework. If you are a competitor reviewing this page, contact legal@brainpredict.ai to discuss licensing before building.