Cybersecurity at
Machine Speed
The first security platform built natively for the age of AI.
Trusted by engineers working at
How It Works
Defense That Runs Itself
From the first decoy to autonomous containment, you're protected in minutes.
Deploy Runtime Deception Sensors
Spin up realistic, vulnerable-looking decoys across your infrastructure in minutes, with zero false positives.
Engage & Extract Intelligence
Trap attackers the moment they move, then analyze payloads and extract live threat intelligence before damage spreads.
Autonomous Response
Contain threats at machine speed and auto-generate executive-ready forensic reports, with no manual triage.
Enterprise Compliance & Regulatory Alignment
By the Numbers
Measured at Machine Speed
Real outcomes from teams running AI-native deception in production.
False Positives
SOC Cost Reduction
Deploy Time
GitHub Stars
The Platform
One Stack, Full Kill Chain
Runtime deception, adversarial simulation, and autonomous response working as one system.

The Difference
Before & After Beelzebub
See what changes when AI-native defense is in place.
Before
Attackers move undetected
Threat actors hop between systems freely. By the time you notice, they've reached your crown jewels.
After
Every move triggers a trap
AI sensors across your network detect and block attackers the moment they touch a decoy, before any real asset is reached.
Testimonials
Here's what people are saying
What security leaders and researchers say about AI-native deception.
“Beelzebub's AI-native deception flips the script with decoys that lure and expose cryptojacking malware, while its AI-driven SOC watches and responds in real time.”
Joseph Davis
Chief Security Advisor, Microsoft
“A low-code, AI-powered framework with a secure, high-interaction environment to detect and analyze cyber threats across SSH, HTTP, TCP, and MCP decoys.”
Meisam Eslahi
Executive Director, EC-Council
“Beelzebub generates high-fidelity threat intelligence and acts as an early warning system, cutting false positives without the usual maintenance and supervision costs.”
Paul Martinez
Senior Manager, Cybersecurity at KPMG
“The initial hype about AI may cool down, but the use of AI is only really gaining in importance, especially for deception!”
Marco Ochse
Senior Expert Security, Telekom Security
“An advanced framework with a very secure environment for detecting attacks. It's very easy to set up and uses AI to simulate realistic decoy behavior.”
Peyman Khodabandeh
Security Audit Team Leader, Tejarat Bank
“Prompt injection is still an open threat. Beelzebub's MCP decoy catches it in action, right inside your agent pipeline.”
GitHub Projects Community
Open Source
“Beelzebub is an open-source deception framework engineered to create a secure environment for detecting and analyzing cyber threats.”
Help Net Security
Cybersecurity news and industry insight
“Securing Kubernetes with deception to detect and prevent lateral movement attacks.”
Alex Nguyen
Compliance Auditor
“Beelzebub: an open-source deception framework.”
Donna Ross
CISO
Plans
Start Free, Scale to Enterprise
Run the open-source core yourself, or let us run the complete platform for you.
Open Source
Free · self-hosted
The open-source core, about 2% of the full platform. Self-host the deception framework, free forever. 1,800★ on GitHub.
- Self-hosted deception framework
- SSH / HTTP / TCP LLM honeypots
- MCP & IoT protocol support
- Community support
Enterprise
Managed · end-to-end
The complete platform: autonomous AI SOC, Caronte CTI, Arcangelo red-teaming, managed deception, and SLA-backed support.
- Custom Beelzebub plugins for advanced features
- Autonomous AI SOC response
- Caronte CTI & malware detonation
- Arcangelo continuous red-teaming
- Centralized management + 24/7 SLA
FAQ
Frequently Asked Questions
Everything you need to know about deploying Beelzebub.