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description: "TraceLock security telemetry architecture diagram — multi-source RF ingestion, signal normalization, detection correlation, and evidence generation pipelines."

TraceLock™ — Security Telemetry Architecture

TraceLock™ is a security telemetry architecture designed to integrate heterogeneous wireless and RF signal sources into detection, evidence, and security decision pipelines.

Architecture domains

  • Security telemetry fusion
  • Detection engineering
  • Evidence engineering
  • Security architecture

System capabilities

TraceLock™ demonstrates several architectural capabilities:

  • Multi-source telemetry ingestion
  • Heterogeneous signal normalization
  • Detection correlation pipelines
  • Evidence generation for investigation

Technologies

Kismet • rtl_433 • ADS-B telemetry • GPS context • Python telemetry parsing

Why it matters

Traditional security monitoring underutilizes nontraditional telemetry sources such as Wi-Fi, BLE, ISM, ADS-B, and GPS context. That creates blind spots where adversarial activity can exist outside standard endpoint and network-only controls.

Architecture overview

TraceLock™ is modeled as a layered architecture that moves from collection to defensible outputs. The design emphasis is reproducible telemetry handling, controlled detection behavior, and public-safe evidence generation.

Four-layer model

Layer 1: Telemetry collection

Collect multi-domain telemetry across wireless and RF sources, including Wi-Fi/BLE, ISM, ADS-B, and GPS context.

Layer 2: Normalization and control

Normalize heterogeneous sensor streams into structured events, then apply mode controls (Lab, Field, Demo) to keep execution bounded and repeatable.

Layer 3: Detection and correlation

Run detection logic against normalized telemetry with correlation across domains to improve signal quality and reduce isolated-tool blind spots.

Layer 4: Evidence, visualization, and reporting

Produce architecture-safe outputs for investigation and communication: logs, dashboards, and exportable evidence artifacts.

Updated public-safe architecture diagram

flowchart LR
    subgraph L1["Layer 1: Telemetry Collection"]
      A["Kismet Wi-Fi/BLE"]
      B["rtl_433 ISM"]
      C["ADS-B Feed"]
      D["GPS Context"]
    end
    A --> E["Layer 2: Parser/Normalizer"]
    B --> E
    C --> E
    D --> E
    E --> F["Mode Controller<br/>Lab / Field / Demo"]
    F --> H["Layer 3: Detection & Correlation"]
    F --> G["Storage + Retention"]
    H --> I["Alerts / Dashboards"]
    G --> J["Layer 4: Evidence Export<br/>Logs / KML / Reports"]
    style L1 fill:#0d3c61,stroke:#2cb1ff,stroke-width:1px,color:#e5e7eb
    style F fill:#0f1b3f,stroke:#2cb1ff,stroke-width:1px,color:#e5e7eb
    style G fill:#0f1b3f,stroke:#2cb1ff,stroke-width:1px,color:#e5e7eb
    style H fill:#0f1b3f,stroke:#2cb1ff,stroke-width:1px,color:#e5e7eb
    style I fill:#0f1b3f,stroke:#2cb1ff,stroke-width:1px,color:#e5e7eb
    style J fill:#0f1b3f,stroke:#2cb1ff,stroke-width:1px,color:#e5e7eb

TraceLock™ telemetry architecture : multi-domain telemetry is normalized, controlled, correlated, and exported as defensible security evidence.

Architecture context

This telemetry architecture supports detection engineering by making cross-domain signal handling explicit and reviewable. It also supports defensible security decisions by separating collection, control, detection, and evidence concerns in a way that can be audited and improved over time.

Hiring and capability signal

  • Security telemetry fusion: Integrates heterogeneous wireless and RF data into one processing model.
  • Detection engineering: Applies normalized-event detection and multi-source correlation.
  • Evidence engineering: Produces exportable, reviewable outputs for triage, reporting, and architecture review.
  • Security architecture: Uses layered design and governed execution boundaries instead of ad hoc tool chaining.