Protocol Architecture

Protocol Architecture

NovaQ Protocol is structured into three primary functional layers:

1. Verification Layer

Ensures AI model authenticity and deployment integrity using simulated enclave attestation and checkpoint validation. Key features:

• Hash-bound model identifiers (e.g., SHA3, BLAKE3)

• Simulated Trusted Execution Environments (TEEs) for model loading

• Merkle Trees to timestamp and anchor logs of deployments

• Multi-Checkpoint Proofs (MCP): Verifies model hashes across virtual nodes

2. Optimization Layer

Enhances prompt and query inputs to ensure clarity, compliance, and safety — aligned with LLM response mechanics. This includes:

• Lattice-inspired phrasing filters for post-quantum grammar sanitization

• Redundancy minimization via NLP compression

• Bias/injection mitigation via adversarial prompt stripping

• Compliance-aware tagging (flags risky/ambiguous prompts)

3. Stress Testing Layer

Simulates runtime stress and adversarial conditions against APIs or LLM endpoints using WebAssembly-like logic and quantum-adversarial patterns:

• Fuzz-style injection of malformed and hostile prompts

• Delay & timeout simulations under load

• NLP-based fault detection across model outputs

• Logging of error boundaries and API behavior profiles