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Build secure low-code deception runtimes with AI-driven system virtualization.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "beelzebub" yet — see the docs or source repo.
Use beelzebub to create an internet-facing SSH decoy environment with low interaction but complete logging. It should capture source connections, command attempts, and session duration, and provide deployment steps and isolation recommendations.
A decoy environment plan with deployment steps, logging design, and isolation guidance.
Use beelzebub to build a system virtualization runtime for a simulated enterprise network, including file services, a login portal, and basic network response behavior for security research and attack path observation.
A runnable virtualized scenario design, component list, and behavior simulation specification.
Design a low-code deception defense prototype with beelzebub that uses AI to generate decoy assets and interaction logic, and explain how to connect it to existing monitoring and alerting systems.
A prototype architecture, decoy generation approach, integration method, and implementation considerations.
Use a hosted domain-specialized LLM and MCP tools for coding and security tasks.
Turn app ideas into IA, wireframes, PRDs, and build-ready specs.
Detect malicious open-source packages and protect AI agents and IDEs.
Run, build, and validate firmware on virtual hardware with hardware knowledge support.
Run authorized Kali security testing tools through AI agents in an isolated container.
Build and prototype Unreal Engine projects through natural-language-driven coding workflows.