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Enterprise Cybersecurity Threat Simulation Platform Development
  1. case
  2. Enterprise Cybersecurity Threat Simulation Platform Development

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Enterprise Cybersecurity Threat Simulation Platform Development

neoteric.eu
Security

Challenges in Enterprise Cybersecurity Testing and Data Management

Existing systems struggled with handling high-volume data processing during threat simulations, synchronizing distributed server environments, and maintaining code security. The platform required improved user service scalability, reduced end-user learning curves, and enhanced capabilities for identifying attack sources during controlled security tests.

About the Client

Cybersecurity company specializing in legal DDoS testing and threat simulation for Fortune 2000 enterprises

Objectives for Enhanced Cybersecurity Solution

  • Build a comprehensive security solution for enterprise threat simulation
  • Enable precise identification of simulated attack sources
  • Create a distributed message delivery system for cross-environment communication
  • Improve system intuitiveness while maintaining platform-agnostic capabilities

Core System Functionalities and Features

  • Controlled DDoS attack simulation engine
  • Real-time attack source identification system
  • Multi-environment message delivery (local/global)
  • Customizable transport layer selection (WebSockets/Kafka)
  • Secure data storage and retrieval microservice

Preferred Technologies for System Development

Node.js
NestJS
Kafka
MongoDB
Angular
Redis
Docker

External System Integrations Needed

  • Security analytics platforms
  • Enterprise threat monitoring systems
  • Cloud infrastructure APIs

Critical System Requirements

  • High-volume data processing scalability
  • Sub-second message delivery latency
  • Enterprise-grade security protocols
  • Cross-platform compatibility (browser/Node.js)

Expected Business Impact of Enhanced Cybersecurity System

Enables Fortune 2000 companies to proactively test infrastructure resilience against cyber threats while maintaining compliance. The distributed message system reduces operational complexity by 40%, improves threat detection accuracy by 65%, and supports secure data extraction for regulatory reporting. Scalable architecture accommodates simultaneous testing across multiple enterprise environments.

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