Architecting Scalable Enterprise SOC Ecosystems

Modular risk-based SOC baseline stacks (Stacks A, B1-B3) using Wazuh, Suricata, Security Onion, Squid, and Shuffle. Designed to scale from standard endpoint visibility to full automated containment and adversary simulation.

Timeframe: Summer 2025

The Problem & The Goal

The cybersecurity industry suffers from "tool glorification"—a reactive, tool-driven approach to security that proves both expensive and ineffective. I noticed that Small and Medium Enterprises (SMEs) typically lack the budgets and specialized skills to afford integrated enterprise solutions. Responding to incidents by purchasing fragmented tools creates a brittle perimeter defense rather than a robust, layered defense-in-depth strategy.

My goal was to design and validate a methodology that counters this reactive model by starting with risk analysis rather than software selection. I aimed to formulate 4 modular architectural tiers (Categories A, B1, B2, B3) mapped to business size and maturity. Success meant delivering a cost-effective, tool-agnostic roadmap that SMEs could use to achieve compliance and withstand sophisticated attacks.

Process, Research & Architecture Solution

I rejected the "tool-first" mindset and began with a comprehensive conceptual analysis of business risks, threat vectors, and compliance requirements. I categorized businesses into four tiers based on endpoint volume and operational complexity, mapping specific security needs to abstract controls (like NDR or EDR) before selecting any technology. To validate this defense-in-depth architecture without requiring prohibitive financial investments, I designed a baseline SOC stack for each category utilizing open-source tools.

SOC STACK - Category A

SOC STACK - Category A

SOC STACK - Category B3

SOC STACK - Category B3

I developed a layered Multi-Tier SOC Architecture that separates standard user traffic zones from core security services and analyst consoles. For Category A (Foundational), I integrated Wazuh (EDR/SIEM), Borg (Encrypted Backups), PrivacyIDEA (MFA), Rspamd (Mail Proxy), and Squid (Web Proxy). For Categories B1-B3 (Advanced), I progressively scaled the architecture to include Security Onion, TheHive (Case Management), Shuffle (SOAR) for automated containment, and Caldera for adversary simulation.

Attack Simulation Scenarios
ScenarioCategoryTacticTechnique
Attack 1Initial AccessPhishingT1566.002 (Spear phishing Link)
Attack 2ExecutionUser ExecutionT1204.002 (Malicious File / Macro)
Attack 3Credential AccessOS Credential DumpingT1003
Attack Simulation Efficacy Breakdown
Attack 1
Phishing
4 / 4 Stages
Block Rate100%
Attack 2
Malware Exec
7 / 8 Stages
Block Rate87.5%
Attack 3
Credential Dump
6 / 8 Stages
Block Rate75.0%
Overall Efficacy
Total Aggregate
17 / 20 Stages
Aggregate85.0%

Attack Simulation Efficacy

Tools & Technologies Utilized

  • Wazuh
  • Suricata
  • Security Onion
  • Squid
  • Rspamd
  • BorgBackup
  • PrivacyIDEA
  • Shuffle SOAR
  • Caldera

Results & Impact

  • I deployed the Category A stack in a virtualized lab and subjected it to simulated multi-stage attacks mapped to the MITRE ATT&CK framework.
  • The architecture successfully blocked 17 out of 20 attack stages, achieving an 85% success rate against phishing, malware execution, and credential dumping.
  • Ultimately, I delivered a strategic "fortification model" that enables clients to implement a validated open-source baseline and strategically replace high-maintenance components with commercial tools as they grow.
  • Through this project, I transitioned from a purely technical perspective to a strategic, business-aligned mindset, learning that effective security is a continuous process built on risk assessment, not just software.