cybotra-AI - Cybotra is a cybersecurity-focused AI assistant de

项目说明

Cybotra — Cybersecurity AI

Cybotra is a cybersecurity-focused AI assistant designed to help security teams, learners, and organizations analyze threats, understand , and recei defensi.

Built with performance and scalability in mind, Cybotra combines domain-specific workflows, retrie knowledge, and a flexible model abstraction layer to deli cybersecurity intelligence.

This documentation is adapted from your original specification.

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O

Cybotra is not a model trained from scratch.
It is a cybersecurity AI system composed of:

* AI model abstraction layer (pro)
* Retrie Generation (RAG)
* cybersecurity knowledge ingestion
* structured workflows
* safety and policy guardrails
* Go-based backend orchestration

This architecture keeps the system scalable, affordable, and flexible.

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Product

Mission

Make cybersecurity intelligence fast, accessible, and operationally useful.

Positioning

Cybotra acts as an AI cybersecurity copilot for:

* Security analysts
* SOC teams
* IT administrators
* Security learners
* Red/Blue team practitioners
* SMB organizations

Core Value

Cybotra helps users:

* analyze alerts quickly
* explain
* map activity to MITRE ATT&CK
* review phishing content
* summarize incidents
* generate remediation guidance
* answer cybersecurity questions with e

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M

The initial focuses on a high-value narrow assistant.

Inputs

* plain text questions
* PDFs
* DOCX / TXT / Markdown
* suspicious emails
* reports
* JSON / logs
* knowledge documents

Outputs

* structured cybersecurity analysis
* se assessment
* ATT&CK mapping
* remediation checklist
* executi
* technical explanation
* confidence score
* citations (when a)

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Architecture

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Core Modules

Con Cyber Assistant

Handles Q&A, triage, and guided troubleshooting.

Knowledge Retrie

Indexes cybersecurity sources and retrie context.

File Ingestion

Processes uploaded files and prepares them for retrieval.

Analysis Engine

Generates structured cybersecurity responses.

Safety Guardrails

Prevents harmful or abusi.

Admin Console

Manages knowledge base, logs, and tuning.

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Cybersecurity Workflows

C

* o
* affected systems
* risk level
* remediation

ATT&CK Mapper

* tactic mapping
* technique mapping
* detection guidance

Phishing Analyzer

* suspicious indicators
* risk assessment
* safe handling advice

Incident Summarizer

* timeline extraction
* key events
* containment steps

Cyber Tutor

* concept explanation
* defensi
* learning guidance

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Technology Stack

Frontend

* Next.js
* TypeScript
* Tailwind CSS
* Component library

Backend

* Go
* REST API
* Structured services

Storage

* PostgreSQL
* database
* Object storage

Infrastructure

* Docker
* Container deployment
* Obser support

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Repository Structure

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Backend Structure (Go)

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Data Model (Core)

Entities:

* users
* organizations
* workspaces
* con
* messages
* documents
* document_chunks
* analyses
* citations
* feedback
* audits

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De Roadmap

Phase 1 — MVP

* authentication
* chat UI
* file upload
* retrieval
* structured responses

Phase 2 — Operational Assistant

* workflows
* workspace separation
* impro

Phase 3 — Security Copilot

* integrations
* automation
* team collaboration

Phase 4 — Domain Specialization

* dataset curation
* e suite
* ad workflows

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Security Principles

* encrypted transport
* workspace isolation
* audit logging
* rate limiting
* input
* safe AI policy enforcement

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Safe AI Policy

Allowed:

* defensi
* education
* phishing analysis
* ATT&CK mapping

Restricted:

* harmful exploitation guidance
* destructi instructions
* credential theft guidance
* illegal misuse instructions

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De Sequence

1. repository setup
2. Go API scaffold
3. database schema
4. authentication
5. con persistence
6. text generation
7. file upload
8. ingestion pipeline
9. retrie
10. structured responses
11. cybersecurity workflows
12. admin dashboard

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Branding

Cybotra by ReDefen

Tagline ideas:

* Cybersecurity intelligence at speed
* Analyze. Map. Defend.
* Your AI cyber defense copilot

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Launch Strategy

Initial focus:

* C
* phishing review
* ATT&CK mapping
* incident summarization

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Key Design Principles

* model-agnostic architecture
* retrie intelligence
* structured outputs
* cybersecurity specialization
* scalable infrastructure
* strong safety controls

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Project Status

🚧 Early De
⚙️ Architecture Defined
🔬 MVP In Progress

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License

TBD

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Author

ReDefen — Cybersecurity Engineering & AI Systems / Arun Khatwe

项目信息

开发语言：TypeScript

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Cybotra is a cybersecurity-focused AI assistant designed to help security teams, learners, and organizations analyze threats, understand vulnerabilities, and receive structured defensive guidance. 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。