Stop Advanced Threats Before They Spread

Deceive, Detect, Respond
Beyond Traditional Prevention

Deceive

Deploy Intelligent Traps in Minutes, Not Weeks
Turn your network into a minefield for attackers. Our AI-powered honeypots (1100+ GitHub stars) deploy in 1-2 minutes with zero infrastructure disruption. Transparent, auditable open-source code you can trust. When supply chain attacks bypass your perimeter, deception technology catches them during lateral movement. Trusted by Deutsche Telekom and enterprise customers across telecommunications and critical infrastructure.

Detect

Real-Time Threat Detection with Zero False Positives
Get instant alerts the moment attackers touch your decoys. Automated isolation prevents spread while our centralized dashboard gives you complete visibility. No more drowning in alerts - honeypots only trigger on real threats, giving your SOC team back 80% of their time for strategic work.

Response

24/7 Automated Response Without 24/7 Costs
Replace expensive round-the-clock monitoring with AI-driven response automation. Automated post-mortems analyze attacker behavior, identify compromised systems, and provide actionable intelligence. Reduce SOC operational costs by up to 60% while improving mean time to response from hours to minutes.

From Zero to Protected in Minutes

How Beelzebub Works
Harness AI for Intelligent Threat Detection

1) Deploy Intelligent Decoys

Deploy Beelzebub honeypots across your infrastructure in seconds using Docker containers or Kubernetes with our official Helm chart. Works on any cloud provider. Our LLM acts as realistic Linux terminals and API services, appearing vulnerable to attackers while remaining completely secure. No supervision required. Zero false positives, only real threats trigger alerts.

2) Engage & Analyze Threats

When attackers hit your honeypots during lateral movement, our LLM keeps them engaged while they believe they're compromising real systems. Meanwhile, our AI SOC immediately begins analyzing the attack in real-time, including static and dynamic malware analysis when binaries are detected. Attackers stay engaged for hours, generating valuable threat intelligence.

3) Automated Investigation & Response

Our AI SOC team springs into action - each AI agent represents a specialized SOC role, collaborating to investigate the attack using dynamic analysis tools. They produce detailed threat intelligence reports and automatically isolate the originally compromised server to stop the attack in real-time. AI SOC team that never sleeps, never misses an attack.

4) Actionable Intelligence Delivery

Receive comprehensive attack reports with actionable insights delivered directly to your CISO dashboard. Complete post-mortem analysis, attacker behavior patterns, IoCs, and remediation recommendations - all generated automatically without human SOC intervention. From attack to intelligence in minutes, not days.

Enterprise Compliance & Security

Our platform uniquely addresses lateral movement risks identified in the NIS2 Directive through active engagement, turning your infrastructure into an intelligent defense system that detects and contains threats before they spread. Trusted by Deutsche Telekom for critical infrastructure protection.

NIS2
DORA
SOC 2
GDPR
CCPA
CER
Stories

Here's What People Are Saying About Beelzebub

Securing Kubernetes Using Honeypots to Detect and Prevent Lateral Movement Attacks

Alex Nguyen
Alex Nguyen

Compliance Auditor

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The initial hype about AI may cool down, but the use of AI is only really gaining in importance, especially in the case of honeypots!

Marco Ochse
Marco Ochse

Senior Expert Security, Telekom Security

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Beelzebub is an open-source honeypot framework engineered to create a secure environment for detecting and analyzing cyber threats.

Help Net Security
Help Net Security

Cybersecurity news and industry insight

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Beelzebub: Open-source honeypot framework

Donna Ross
Donna Ross

CISO

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Integrating your honeypot LLM with an always-on AI SOC has been a game changer for our security posture. It analyzes and responds to threats in real time without disrupting our operations. We now have full visibility into supply chain attacks—and can act before they escalate.

James Wilson
James Wilson

CEO

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Before deploying your solution, we had limited insight into sophisticated threats. Now, our team receives real-time, context-rich alerts on every intrusion attempt. The continuous monitoring from the AI SOC has saved us critical response time and given us peace of mind.

David Lee
David Lee

VP of Operations

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Finally, a defensive tool that respects privacy. Your honeypot LLM observes attacker behavior without exposing sensitive data. With 24/7 support from the AI-powered SOC, we feel protected without compromising on compliance or transparency.

Michael Thompson
Michael Thompson

CEO

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The ability to define custom detection rules and receive behavioral analytics in real time has completely changed how we approach security. We no longer rely on assumptions—the system learns, adapts, and responds to threats autonomously.

Sarah Jones
Sarah Jones

Head of Engineering

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Integration

Integrate seamlessly

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FAQ

Frequently Asked Questions

Beelzebub uses Large Language Models (LLM) to create high-interaction honeypots without the complexity and security risks of traditional solutions. Our AI acts as realistic Linux terminals and HTTP services, engaging attackers for hours while remaining completely secure.

Key differentiators:

  • Zero false positives - only real threats trigger alerts
  • No human supervision required - fully automated operation
  • High interaction without risk - LLM provides safe, realistic responses
  • Trusted by Deutsche Telekom and enterprise customers

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