Agentic SOC: High-Concurrency Resilience & Stress Testing
Published:
Security Workflow Diagram
graph TD
A[SIEM Alert] --> B{Cache Check}
B -- Hit --> C[Return Stored Action]
B -- Miss --> D[CrewAI: Specialist]
D --> E[RAG: Playbook Context]
E --> F[CrewAI: Auditor]
F --> G{Keyword Check}
G -- Match --> H[Firewall Log & Block]
G -- No Match --> I[Manual Review Flag]
H --> J[Return Response]
I --> J
classDef input fill:#1f77b4,color:#fff,stroke:#0d3b66,stroke-width:2px;
classDef process fill:#2ca02c,color:#fff,stroke:#1b5e20,stroke-width:2px;
classDef decision fill:#ff7f0e,color:#fff,stroke:#b45309,stroke-width:2px;
classDef action fill:#d62728,color:#fff,stroke:#7f1d1d,stroke-width:2px;
classDef output fill:#9467bd,color:#fff,stroke:#4c1d95,stroke-width:2px;
class A input;
class B,G decision;
class C,D,E,F process;
class H,I action;
class J output;
Project Milestone: Phase 10 - Resilience Engineering
On April 19, 2026, the Agentic SOC was subjected to high-frequency concurrency testing to simulate an active brute-force scenario.
Technical Deep Dive
- Hydra Burst Simulation: Processed 10 concurrent multi-agent triage requests (20+ LLM instances) on NVIDIA DGX hardware.
- Latency Optimization: Implemented an asynchronous caching layer that reduced processing time for recurring threats from ~30s to <10ms.
- Supply Chain Hardening: Successfully navigated the March 2026 LiteLLM/Pydantic dependency conflict, ensuring environment integrity during the TeamPCP security incident.
Core Tech Stack
- Inference: Llama 3.2 via Ollama
- Orchestration: CrewAI (Analyst & Auditor Agents)
- Framework: FastAPI / Async Python 3.12