vishvarajsingh/vector-sentinel

# Vector Sentinel Security Product Vector Sentinel is a prototype security operations platform built as a real product architecture instead of a demo. It combines process monitoring, anomaly detection, an RL-aware response engine, and a FastAPI backend for telemetry, alerts, actions, and training orchestration. ## Features - Process and system telemetry ingestion - Behavioral anomaly detection - Response engine with incident classification and action recommendations - Reinforcement learning environment for policy training - Modular training pipeline and model export - Clear architecture, roadmap, and product-level documentation ## Quickstart 1. Create a virtual environment: python -m venv .venv .venv\Scripts\activate 2. Install dependencies: pip install -r requirements.txt 3. Run the API: uvicorn Vector Sentinel.main:app --reload 4. Run the endpoint agent: cd agent python -m agent.agent ## Structure - `Vector Sentinel/` — core application package - `docs/` — architecture, blueprint, and roadmap documentation - `tests/` — integration and unit tests ## Next steps - Add telemetry connectors for real agents - Plug in real RL training using a framework like Ray RLlib or Stable Baselines - Add UI dashboards and analyst workflows - Harden incident response with policy lifecycle management

标签：自定义脚本