Absolute visibility. Zero trust.

A local-first network intelligence and privacy-control cockpit for macOS and iOS. Combining typed evidence, deterministic security policies, and an embedded Rust Tor transport.

EXPLORE ARCHITECTURE
wavenetd // evidence-ledger --active [LOCAL]
[12:00:01] Evaluating evidence provenance models... VERIFIED
[12:00:02] Checking deterministic protection policies... ACTIVE
[12:00:03] Zero telemetry egress & fail-closed states secure. OK
“Wavenet should show what it observed, how reliable that observation is, what it cannot see, and which action—if any—is actually available.”

The Five-Stage Product Model

1. Observe

Collect raw local network signals, DNS metadata, and host endpoint context safely when exposed by the operating system.

2. Normalize

Convert disparate measurements into typed, bounded evidence objects with full provenance and coverage ceilings.

3. Interpret

Run local feature analysis, personal behavioral baselines, and anomaly detectors without relying on cloud-based heuristics.

4. Control

Compile and apply explicit, reversible, deterministic protection rules across DNS, URL, and browser-policy surfaces.

5. Explain

Expose confidence ratings, data limitations, and failure states transparently through a native SwiftUI operator cockpit.

System Specifications