AegisOne - Defensive cybersecurity platform for asset monitor

项目说明

🌐 Live Demo

🚀 AegisOne Li:

# 🛡️ AegisOne

AI-Powered Cybersecurity & Digital Risk Management Platform

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AegisOne is a modular cybersecurity platform designed to provide centralized into digital assets, security risk, security findings, and operational health.

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🚀 O

AegisOne is a security operations platform that brings asset management, risk analysis, security findings, and API monitoring into a single dashboard.

The platform is designed with a modular architecture so that additional capabilities such as AI-assisted security analysis, automated testing, containerized deployment, threat intelligence, authentication, and security automation can be added without redesigning the core system.

Core objectives

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✨ Key Features

🖥️ Security Operations Dashboard

AegisOne provides a centralized security dashboard containing:

The dashboard is designed to gi operators a quick o of the current security posture.

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📦 Asset Management

AegisOne supports centralized management of monitored digital assets.

Supported asset types

Asset information

Each asset can contain:

Asset operations

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🛡️ Risk Analysis Engine

The risk engine e registered assets and produces a numerical risk score with a corresponding risk level.

Risk levels

| Level | Description |
|---|---|
| 🟢 LOW | Low security risk |
| 🟡 MEDIUM | Moderate security risk |
| 🟠 HIGH | Elevated security risk |
| 🔴 CRITICAL | Severe security risk |

Example

Risk calculation endpoint:

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⚠️ Security Findings

The findings module provides centralized into detected security issues.

Each finding can contain:

Supported se

Example

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🔌 API Health Monitoring

AegisOne continuously checks backend a through the health endpoint.

Example:

The frontend exposes the following states:

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🏗️ System Architecture

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🧩 Modular Architecture

AegisOne separates major responsibilities into independent modules.

Design principles

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⚙️ Technology Stack

Frontend

Backend

Security

De

Planned Infrastructure

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🔌 REST API

Health

Returns backend health status.

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API Information

Returns AegisOne API information.

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Assets

List Assets

Create Asset

Example:

Delete Asset

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Risk

Risk O

Example:

Calculate Asset Risk

Example:

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Findings

Example:

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🧪 & Testing

The current core API has been manually through PowerShell.

matrix

| Component | Test | Result |
|---|---|---|
| Health | GET /health | 🟢 PASS |
| Assets | GET /api/assets/ | 🟢 PASS |
| Create | POST /api/assets/ | 🟢 PASS |
| Risk O | GET /api/risk/ | 🟢 PASS |
| Risk Calculation | POST /api/risk/{id} | 🟢 PASS |
| Findings | GET /api/findings/ | 🟢 PASS |
| Delete | DELETE /api/assets/{id} | 🟢 PASS |
| Frontend | Dashboard | 🟢 PASS |
| Na | All sections | 🟢 PASS |
| Risk UI | Risk Analysis | 🟢 PASS |

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▶️ Local De

Prerequisites

Install:

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Backend Setup

Na to:

Activate the en:

Start the FastAPI de server:

Backend:

Swagger:

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🌐 Frontend Setup

Open the frontend using VS Code Li.

Typical de URL:

The frontend communicates with:

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🤖 AI Security Intelligence

The ai-engine/ module is designed as a future extension of the platform.

Potential capabilities include:

Security Finding Analysis

Analyze findings and generate human-readable explanations.

Risk Explanation

Explain why an asset received a particular risk score.

Security Recommendations

Generate contextual recommendations for security findings.

Threat Context

Provide additional context around security events and findings.

Natural Language Security Reports

Generate security summaries for operators and management.

The AI layer is intentionally separated from the core FastAPI backend and risk engine.

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🛡️ Security Engine

The security-engine/ module is responsible for security-specific analysis logic.

Future capabilities include:

The separation allows the security engine to evol from the web interface.

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🗄️ Database Layer

The database/ module is intended to centralize:

The goal is to keep persistence concerns separate from API and presentation layers.

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🐳 Containerization

AegisOne is designed to support containerized deployment.

Planned services:

Docker Compose will e provide a single command for starting the platform stack.

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⚙️ CI/CD

The .github/ directory is reserved for GitHub-based automation.

Planned pipeline:

This will help prevent broken code from being merged into the main project.

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🔐 Security Considerations

For production deployment, AegisOne should implement:

De configuration should not be reused directly for production deployment.

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🗺️ De Roadmap

Phase 1 — Core Platform

Phase 2 — Engineering

Phase 3 — Ad Security

Phase 4 — Production

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📊 Current Project Status

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🎯 Project Goals

AegisOne aims to evolve into a unified cybersecurity platform capable of pro:

The long-term objective is to provide security teams with a centralized platform for understanding and improving digital security posture.

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📚 Documentation

Technical documentation is maintained inside:

Planned documentation:

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🤝 De Philosophy

AegisOne follows a modular and maintainable engineering approach.

Key principles:

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📄 License

This project is currently intended for educational, de, and portfolio purposes.

A formal open-source license can be added before public distribution.

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🛡️ AegisOne

Monitor. Analyze. Protect.

A modular cybersecurity and digital risk platform built for modern security operations.

🌐 Live Demo

🚀 AegisOne Li:

项目信息

开发语言：JavaScript

Star 数：1

技术要点

该项目属于防护思路方向的开源资源，代码结构清晰，适合安全研究人员学习参考。项目围绕Defensive cybersecurity platform for asset monitoring, risk analysis, security findings, and AI-powered security insights.展开，提供了可运行的实现，对理解相关安全机制、工具原理与攻防技术具有较高的研究价值。

从技术实现角度看，此类项目的核心在于对底层原理的深入理解与工程化落地。开发者在研究过程中可以结合官方文档与社区讨论，梳理项目的初始化流程、核心模块职责与数据流转，逐步掌握其中的技术细节与设计思路。

使用与学习建议

1. 下载源码压缩包，解压到本地环境。

2. 根据项目类型准备对应的运行环境与依赖。

3. 按照 README 中的步骤完成配置与部署。

4. 在隔离的测试环境中运行验证，避免影响生产系统。

免责声明

本资源来源于开源社区，仅供安全研究、技术学习与合法授权范围内的攻防演练使用，请勿用于任何非法或侵害他人权益的用途。使用本项目产生的一切后果由使用者自行承担。