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Architecture Overview

Arxignis is a comprehensive threat intelligence and security scoring platform designed to provide real-time security insights and automated threat detection. This document provides a technical overview of how the platform works.

System Architecture​

The platform consists of several key components working together to collect, process, analyze, and deliver security intelligence.

Client-Server Communication​

The following diagram shows the high-level communication flow between clients and the Arxignis platform:

Local Execution Architecture​

For enterprise customers, Arxignis offers local execution capabilities that bring threat detection and remediation directly to your datacenter:

How It Works​

  1. Client sends data - Applications collect security events, IP addresses, logs, and metrics
  2. Threat analysis - Platform correlates data against 30+ threat intelligence sources
  3. Scoring - Advanced algorithms calculate threat scores and risk levels
  4. Response - Real-time results sent back to client with recommendations

Local Execution Benefits​

The local execution architecture provides enterprise customers with:

  1. Reduced Latency - Security decisions made locally within your datacenter (5-15ms vs 50-100ms)
  2. Data Sovereignty - Keep sensitive security data within your infrastructure
  3. Intelligent Caching - Local threat intelligence cache with 5-minute sync intervals
  4. Offline Capability - Continue protection even during network outages
  5. Custom Integration - Deploy security rules and policies specific to your organization

Communication Methods​

  • REST API - Direct HTTP/HTTPS calls for real-time scoring
  • Webhook Integration - Event-driven data submission
  • Batch Processing - Scheduled bulk data uploads
  • Streaming - Real-time continuous data flow

Security Features​

  • Multi-tenant architecture with role-based access control
  • API key authentication and rate limiting
  • Real-time threat detection and scoring
  • Automated response capabilities
  • Comprehensive audit logging

Scalability​

The platform is designed for horizontal scaling:

  • Stateless microservices for easy replication
  • Database sharding and read replicas
  • Caching layers for performance optimization
  • Load balancing across multiple instances

Monitoring and Observability​

  • Comprehensive logging and metrics collection
  • Real-time performance monitoring
  • Alerting and notification systems
  • Health checks and automated recovery