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  • Germany
  • 10:10 (UTC +02:00)

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Lollobar17/README.md

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I am an IT and Cybersecurity enthusiast with a strong passion for hands-on learning. I don't consider myself an expert, but rather a continuous learner: I firmly believe the best way to understand a technology is to build it from the ground up.

Cybersecurity & Cloud: I build homelab projects (like a hybrid SIEM in Python) to study network defense. I adopt a "Purple Team" mindset: analyzing offensive tactics to engineer better, more resilient defenses. Currently diving into Cloud infrastructure (Azure/AWS).

Python & Data: I use Python as my primary tool for automation, building REST APIs, and data analysis, with a specific interest in financial forecasting models.

AI Safety: Exploring the intersection of AI and security. I design structured Prompt Engineering frameworks (using XML tags) based on Anthropic's 4D methodology to ensure safe, ethical, and reliable outputs.

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  1. AI-auditor_framework AI-auditor_framework Public

    AI Safety Auditor: A practical implementation of Anthropic's 4D Framework using structured XML prompting for financial compliance.

  2. Network_Security_Lab Network_Security_Lab Public

    Network security monitoring lab with SIEM integration, MITRE ATT&CK mapping and full penetration testing documentation.

    Python

  3. Homelab_SIEM Homelab_SIEM Public

    Lightweight self-hosted SIEM for homelabs. Log collection, threat detection with MITRE ATT&CK mapping, and a live web dashboard. Built with Python and Flask.

    Python