Beelzebub is an AI-native cybersecurity platform that fuses red team and blue team into a single autonomous, machine-speed purple-team loop. It includes continuous adversary emulation, runtime deception, and autonomous threat intelligence capabilities.
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Frequently Asked Questions
Where is Beelzebub located?
Beelzebub is located in Milan, Italy.
What industries does Beelzebub operate in?
Beelzebub operates in the following industries: Computer and Network Security.
When was Beelzebub founded?
Beelzebub was founded on 2026-07-27.
How much total funding has Beelzebub raised?
Beelzebub has raised a total of $3,000,000.
Who are the investors in Beelzebub?
The investors in Beelzebub are: United Ventures, strategic investors and advisors.
What is Beelzebub and how does it function as a security tool?
Beelzebub is an open-source deception runtime framework designed to detect and analyze cyber threats. It uses AI, specifically large language models, to create high-interaction honeypots that simulate realistic system behaviors and services to lure and engage attackers.
Which protocols can be protected or simulated using Beelzebub?
Beelzebub supports multiple protocols for its decoy services, including SSH, HTTP, TCP, TELNET, and MCP to secure enterprise AI agents and simulate various network assets.
Is Beelzebub free to use?
The core framework of Beelzebub is open source and available for free, allowing users to audit the code and deploy it in self-hosted environments.
How can I get started with deploying a Beelzebub honeypot?
You can deploy Beelzebub in minutes using Docker containers, a Kubernetes Helm chart, or by building the source code with the Go compiler. It requires a low-code configuration using YAML files to define your deceptive services.
What are the primary benefits of using Beelzebub over traditional honeypots?
Unlike static, traditional honeypots that are easily fingerprinted, Beelzebub uses LLMs to provide dynamic, realistic interactions, which helps in generating high-fidelity threat intelligence, catching sophisticated attacks like prompt injection, and reducing false positives.