Architecture Deep Dive

Understanding QuickSecure's hybrid AI detection system and autonomous decision engine

System Overview

QuickSecure is built on a hybrid architecture that combines local endpoint intelligence with global cloud analysis.

???????????????????????????????????????????????????????????????????????????????????????????
?                              QUICKSECURE SYSTEM ARCHITECTURE                             ?
???????????????????????????????????????????????????????????????????????????????????????????
?   ???????????????????????????????????????????????????????????????????????????????????   ?
?   ?                           ENDPOINT LAYER (Your Device)                           ?   ?
?   ?   ?????????????????   ?????????????????   ?????????????????   ???????????????  ?   ?
?   ?   ?    System     ?   ?   Behavioral  ?   ?    Local AI   ?   ?  Decision   ?  ?   ?
?   ?   ?   Monitor     ?????   Analyzer    ?????    Engine     ?????   Client    ?  ?   ?
?   ?   ? � ETW Events  ?   ? � Heuristics  ?   ? � ONNX Model  ?   ? � Evaluate  ?  ?   ?
?   ?   ? � eBPF Probes ?   ? � Patterns    ?   ? � 5MB Size    ?   ? � Queue     ?  ?   ?
?   ?   ?????????????????   ?????????????????   ?????????????????   ???????????????  ?   ?
?   ?   Resource Usage: CPU < 1%, RAM < 50MB, Disk I/O: Minimal            ?         ?   ?
?   ???????????????????????????????????????????????????????????????????????????????????   ?
?                                              Suspicious Event ?????????????             ?
?                                                         ?                               ?
?   ???????????????????????????????????????????????????????????????????????????????????   ?
?   ?                           CLOUD LAYER (Corxor Backend)                           ?   ?
?   ?   ?????????????????????   ?????????????????????   ??????????????????????????????   ?
?   ?   ?  Telemetry API    ?   ?  Global AI Judge  ?   ?  Autonomous Decision     ??   ?
?   ?   ? � Threat Reports  ????? � Multi-Factor    ????? � Auto-Pilot Engine       ??   ?
?   ?   ? � Heartbeats      ?   ?   Analysis        ?   ? � Decision Queue          ??   ?
?   ?   ? � IoC Sync        ?   ? � Risk Scoring    ?   ? � Approval Workflow       ??   ?
?   ?   ?????????????????????   ?????????????????????   ??????????????????????????????   ?
?   ?   ?????????????????????   ?????????????????????                                 ?   ?
?   ?   ?  IoC Database     ?   ?  Collective       ?  ? Global Broadcast < 1s        ?   ?
?   ?   ? � 10M+ Hashes     ?   ?  Defense Network  ?                                 ?   ?
?   ?   ?????????????????????   ?????????????????????                                 ?   ?
?   ???????????????????????????????????????????????????????????????????????????????????   ?
???????????????????????????????????????????????????????????????????????????????????????????

ETW Monitoring (Windows)

QuickSecure uses Event Tracing for Windows (ETW) for real-time system monitoring without kernel drivers.

Why ETW Instead of Kernel Drivers?

Aspect	Kernel Driver	ETW (QuickSecure)
System Stability	BSOD risk on crash	Process-level isolation
Installation	Requires reboot	No reboot needed
Updates	Complex, risky	Hot update possible
CPU Overhead	Variable	< 0.1%

Explainable Detection: Every ETW event includes full context: process path, command line, parent process, user context, and timestamp.

Local AI Engine

The local AI engine runs entirely on your device, providing instant threat detection without network latency.

Model Specifications

Format: ONNX (Open Neural Network Exchange)
Size: 5MB compressed
Inference Time: < 15ms per sample
Memory: ~20MB working set

Static Analysis

PE header anomalies
Section entropy scoring
Import table analysis

Behavioral Analysis

Process tree patterns
API call sequences
File system behavior

ML Classification

Neural network scoring
Feature embedding
Similarity matching

Autonomous Decision Engine (Auto-Pilot)

The Auto-Pilot system enables fully autonomous threat mitigation when certain confidence thresholds are met.

Auto-Approval Criteria

AI Confidence? 85%

Risk Score? 70/100

Global Occurrences? 3

False Positives= 0

Recommendation: Start with Auto-Pilot disabled for the first week. Review decisions manually to understand your baseline.

Collective Defense Network

When a threat is confirmed on one endpoint, all QuickSecure endpoints worldwide receive the IoC within seconds.

Propagation Timeline

0ms

Threat Detected

Endpoint A detects and quarantines suspicious file

50ms

Report Sent

Threat telemetry uploaded to Corxor cloud

200ms

Analysis Complete

Global AI Judge confirms threat, generates IoC

<1s

Global Protection

All endpoints can now block this threat locally