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🐝 Beelzebub AI

AI-Native Security Platform | Offensive & Defensive LLMs for Cybersecurity

Website • GitHub • Security Labs • Contact


🎯 About Us

Beelzebub AI is building the next generation of AI-native security tools. We develop specialized Large Language Models designed for both offensive and defensive cybersecurity operations.

"You can't defend. You can't prevent. The only thing you can do is detect and respond." — Bruce Schneier

🛡️ Why Security-Focused LLMs?

Traditional security tools struggle with:

  • AI Agents as Attack Surfaces — Prompt injection may never be fully solved (OpenAI, UK NCSC)
  • Scaling Defense — Attacks are democratizing faster than defenses can adapt
  • Blind Spots — Traditional IDS/WAF/EDR tools fail once attackers breach the perimeter

Our models are trained specifically to understand adversarial contexts, security protocols, and threat actor behaviors.

🔬 Research & Publications

Our Security Labs actively publishes threat intelligence and research:

  • Ni8mare in the Wild — 48 hours from CVE disclosure to exploitation
  • Operation PCPCat — Hunting Next.js credential stealers
  • Rust Botnet C2 Analysis — Reverse engineering DDoS botnet protocols
  • SSH LLM Honeypot — Capturing real threat actors with AI-powered deception

Read more at beelzebub.ai/blog

👥 Team

Founded by cybersecurity veterans and AI researchers with 15+ years of experience across enterprises like Daimler, Sky, Zurich, HackerOne, and NTT Data. Our team includes members of The Honeynet Project and researchers who have discovered vulnerabilities in major platforms.

📜 License & Responsible Use

Our models are released for legitimate security research and defensive purposes only. Users must comply with applicable laws and ethical guidelines. Misuse for malicious activities is strictly prohibited.

📬 Get in Touch


Deceive. Detect. Respond.

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