Project Overview
The Automated Strategic Security Platform (ASSP) is a personal research project using an LLM based back-end for system design, development and testing. The AASP platform is an automated data ingestion and algorithmic analysis system capable of optimal security strategy selection, anomaly detection, and threat mitigation. It is decoupled from my professional information security role and serves as a technical sandbox for data analysis, AI, and security system design.
Infrastructure & Stack
The engine is hosted within my local Debian VM Lab environment on a Proxmox hypervisor.
- Host Hardware: Dedicated RAM for intensive modeling tasks.
- Orchestration: Docker containers manage the core processing units.
- AI Integration: Utilizing Ollama (Llama 3.3 70B & Qwen3-Coder) for natural language data processing and code optimization.
Proxmox Lab Architecture for ASSP platform development
Technical Implementation
The back-end stack consists of multiple Debian based virtual machines running in Proxmox with virtual network segmentation (VLANs) and firewall. Within this environment Docker containers (via Docker Compose) provide the bulk of services, including the LLM sytems, dev repo, web server, repository, and on/offsite backup system. The management of the stack is automated via bash and python. These services are provided to the front-end and are managed via custom dashboard that provides the functionality for the design, development, and testing of the Automated Strategic Security Platform (ASSP). The ASSP will utilize a modular architecture to separate data ingestion, data security analysis, strategy theorization, and testing. Once developed, by leveraging the local lab’s high-memory capacity and large storage array, the engine can process volumes of historical log data and packet captures without external cloud compute dependencies.
Current Progress:
- System Architecture Design: Modular system design detailing, use-case driven functionality identification, and testing methodology designation.
- Local LLM Agents: Local AI framework identification and configuration for coding and theory analysis.
- Datasource Collection: Identifying and collecting open dataasets (structured and unstructured) for initial analysis.
- System Development: Initiating agent-based framework utilizing for modular framework development and testing.
Automated Strategic Security Platform (ASSP) Dashboard Demo
[!NOTE]
This project is for personal research, it remains separate from my career and professional activities.