cybsec-ai-community - Public community home for CybSec-AI defensive AI,

项目说明

CybSec-AI Community

See E. Trust Nothing.

This is the public community home for the web-first CybSec-AI beta: feedback, cyber security question co, public test ideas, documentation suggestions, training resources, and responsible issue reporting.

CybSec-AI itself is a protected cyber security AI product. The production engine, routing logic, upload analyzers, admin console, deployment configuration, and proprietary model/e logic remain private.

The hosted web app is the primary product. The Local Case Kit is an optional protected download for large or sensiti/data files that should stay on the responder workstation or local network.

Why This Exists

General-purpose AI is useful, but cyber security needs something more focused: a dedicated defensive AI engine built for the good guys.

CybSec-AI is being built to become a world-class, free-to-access cyber security assistant and one-stop shop for authorized, non-destructi work. The intent is to help people understand risks, in e, learn security skills, triage incidents, review exposures, harden systems, and make better defensi without turning the platform into an exploit runner or destructive tool.

The long-term is a trusted cyber security AI layer that combines:

This public repo exists so the community can help shape that future safely: suggest questions, identify gaps, impro docs, recommend training resources, and report beta issues without exposing private product code or sensitive user e.

Public Beta

Related Project

CybSec-AI is the AI/analyzer workbench. TYRNEX-AI is the local assessment and e runtime. They can exchange exported e and reports, but neither product requires the other to run.

What Belongs Here

Use this repo to contribute:

Do not submit secrets, exploit payloads, stolen data, private incident e, raw malware, li, customer logs, or anything you are not authorized to share.

Local Case Kit

Because CybSec-AI is web-first, most users should start with the public beta. The protected Local Case Kit is for responders who need to review large or sensiti on their own workstation, local network, or USB/offline kit. The kit is distributed as a protected runtime package rather than open source.

Use the public beta page's Local copy link to download the latest kit. The download is served from CybSec-AI itself and does not require access to the private product repository.

The kit startup displays a read-only local readiness check before Docker starts. It reports common blockers such as AV/EDR products, Defender status when a, Controlled Folder Access, required ports, Docker CLI a, and local e write access. It does not disable security tools, add exclusions, bypass EDR, or change host policy.

The Local Case Kit is intended for:

Platform support:

Contribution Model

This repo is community-driven, but not a source release of the CybSec-AI engine.

Good contributions:

Not accepted:

Repository Map

License

Community docs and issue templates are shared for public beta collaboration only. CybSec-AI product code, hosted service, local runtime package, prompts, analyzers, datasets, e logic, and model orchestration are proprietary and are not licensed through this repo.

项目信息

开发语言：未知

Star 数：2

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Public community home for CybSec-AI defensive AI, beta feedback, cyber docs, roadmap, and safe issue reporting.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。