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Lucas18062025/La-ventaja-del-Defensor

Framework operativo y arquitectura de simulación de amenazas basada en agentes de ciberdefensa activa (Gemini Labs).

Python MIT GitHub ↗ site ↗
★ 0
stars
70
AI relevance
65
solo dev
0
tool sigs

SUMMARY AI summary by gpt-5-mini

CyberDefensor — Framework Operativo is a simulation and automation framework (Gemini Labs) that operationalizes threat intelligence into repeatable lab exercises for defensive cyber operations. It’s intended for blue teams, SOC analysts, incident responders, security engineers and trainers to practice forensics, intrusion detection and system hardening. Key features: - Automated threat intelligence via custom agents (“gems”). - Scripted automation and hardening (Python, PowerShell). - Controlled simulation infrastructure and telemetry collection (VirtualBox, Kali, Windows). - Mapping to MITRE ATT&CK for TTP-driven scenarios. - Repository includes prompt-engineering and system instructions. Simulation pipeline (5 steps): Threat Actor Profile, Target Assets, MITRE Technique ID, Simulation Data, Lab Deployment.

DETECTED Detected AI stack

AI-related keywords found in this repo's description, topics, or README summary — grouped by category. Each badge links to the corresponding ranking detail page.

🧠 LLM providers (1)
Gemini
🤖 LLM models (1)
Gemini

GitHub Topics

#blue-team #cybersecurity #hardening #mitre-attack #siem #gemini-labs

Language breakdown (by bytes)

Python
100%

Owner

Account
Lucas18062025
Type
User
Followers
6

Resiliente | Esotérico | Apasionado.

Dates

Created on GitHub 2026-05-18
Last push 2026-05-18
First seen here 2026-05-18
Last fetched 2026-05-19 16:12

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