System Architecture
Architecture Explorer
How SignalLink AI turns raw events into an independent, locally verifiable evidence layer.
Operating Pipeline
Capture
Ingest an event, document, AI response, telemetry object, or system state.
Canonicalize
Deterministic JSON with sorted keys for stable hashing.
Hash
SHA-256 digest via WebCrypto (K-Crypto).
Anchor
Append a chained record referencing the previous hash.
Detect Drift
Deterministic anomaly scoring across observations.
Verify
Recompute hashes to confirm integrity / detect tampering.
Reconstruct
Replay state history and locate any chain break.
ADA-4WM — Four Mirrors
Technical Mirror
Layers 1–8
Payload identity, hash integrity, input/output relationships, software state, model/system identifiers, metadata, anomaly indicators, and evidence-chain continuity.
Regulatory Mirror
Layers 9–16
Mapping tools for NIST AI RMF, zero-trust principles, AI governance, auditability, accountability, and provenance. Alignment / mapping — not certification.
Temporal Mirror
Layers 17–24
Timestamps, event sequence, previous-record relationships, elapsed time, drift across observations, reconstruction chronology, and anchor continuity.
Operational Mirror
Layers 25–33
System status, source, destination, mission/event context, confidence, anomalies, environmental state, operator notes, and integrity outcome.
System Information
- Organization
- SignalLink Protocol LLC
- CAGE
- 16WJ1
- System
- SignalLink AI
- Framework
- ADA-4WM
- Architecture
- 33-Layer Provenance Framework
- Cryptographic Engine
- K-Crypto / SHA-256
- Analytics
- HCT-3
Optional Integrations
“Even your house was born on your foundation.”