Active defense for the AI agent era

Stop machine-speed attacks before they become business impact.

Beelzebub validates exploitable paths, detects attacker movement, and turns threat artifacts into governed, response-ready.

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Built for cloud, Kubernetes, and human-governed enterprise workflows.

Open-source foundations

Beelzebub Runtime AI-powered deception runtime 2k+ stars Azazel Sandbox Caronte's open-source analysis sandbox 100+ stars

Continuous defense loop

From exposure to governed response

Continuously test what attackers can reach, detect how they behave, and coordinate the right response before operational risk becomes business impact.

EPOCH: 0

Organizations represented across the Beelzebub Labs open-source community

Independent validation

Security researchers and publications have used, cited, and covered Beelzebub’s work.

Podcast · November 2025

SANS Internet Storm Center

SANS highlighted Beelzebub’s additional analysis of RondoDox v2.

Read coverage

Research Note · April 2026

Cloud Security Alliance

Beelzebub was the first to formally characterize TeamPCP.

Read coverage

Security Research

Akamai

Akamai used Beelzebub to discover a new malware strain targeting Docker APIs.

Read coverage

Also covered by

One connected active-defense platform

The Closed Loop of Active Defense

Arcangelo validates exploitable paths. Beelzebub Platform detects attacker movement through deception. Caronte turns malicious artifacts into intelligence with Azazel. Together, they create one continuous, governed defense loop.

Before & after Beelzebub

Before

Blind spots let attackers in

After

Every node continuously tested

IASM · EASM · Agentic Penetration Testing

Arcangelo

Continuously map the attack surface and prove which paths are exploitable.

Arcangelo combines Internal and External Attack Surface Management with agentic penetration testing. It discovers assets, builds multi-stage attack paths, and adapts its tactics as an attacker would while active steps remain inside an approved scope.

Start here when

You need a continuous view of internal and external exposure—not another vulnerability list.

Continuous IASM and EASM discovery with connected attack-surface context
Agentic penetration testing and APT-style, multi-stage adversary simulation
Human-approved exploitation with auditable evidence

Explore Arcangelo

Before & after Beelzebub

Before

Attackers move undetected

After

Every move triggers a trap

For SOC & Blue Teams

Beelzebub Platform

Make every attacker interaction a high-confidence signal.

Place realistic decoys and canary credentials where attackers are likely to move. Because these assets have no legitimate purpose, every direct interaction gives your SOC evidence worth investigating.

Start here when

Your SOC needs fewer, higher-confidence runtime signals.

Deception across cloud, Kubernetes, networks, APIs, and AI agent surfaces
High-confidence alerts based on direct interaction with a decoy
AI-led investigation, reporting, and response orchestration

Explore Beelzebub Platform

Before & after Beelzebub

Before

Manual analysis takes days

After

Full analysis in minutes

For CTI & Incident Response

Caronte

Turn attacker artifacts into action in minutes.

Give Caronte a file, URL, IP, domain, or hash. It follows the attack chain and uses the open-source Azazel sandbox for isolated behavioral analysis, then extracts indicators, TTPs, and decision-ready reports.

Start here when

Analysts are losing time on malware and infrastructure triage.

Agentic reverse engineering and multi-stage deobfuscation
Azazel-powered sandbox analysis, behavior mapping, and indicator extraction
Threat graphs and reports ready for SIEM and SOAR workflows

Explore Caronte

Not sure where to start? Scope one proof of value.

Bring the environment, workflow, or investigation creating the most friction. We’ll map the smallest deployment that can produce decision-ready evidence.

Scope your proof of value

Community voices

What security practitioners and publications say about Beelzebub.

Commentary on Beelzebub Runtime, the open-source ecosystem, and security research, presented separately from customer case studies and commercial endorsements.

Cybercriminals are evolving, and so are the defenders. Beelzebub’s AI-native deception platform is flipping the script with LLM honeypots that lure and expose cryptojacking malware. While attackers think they’re winning, Beelzebub’s AI-driven SOC is watching, analyzing, and responding in real time.

Joseph Davis

Chief Security Advisor, Microsoft

Securing Kubernetes Using Honeypots to Detect and Prevent Lateral Movement Attacks

Alex Nguyen

Compliance Auditor

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

Senior Expert Security, Telekom Security

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

Help Net Security

Cybersecurity news and industry insight

Beelzebub: Open-source honeypot framework

Donna Ross

CISO

Beelzebub: Open-source Honeypot! AI-powered honeypot framework creates a secure, high-interaction environment to detect and analyze cyber threats. It’s designed for low-code deployment and supports multi-protocol decoys like SSH, HTTP, TCP, and MCP to detect prompt injection attacks against LLM agents. Unlike traditional honeypots, Beelzebub uses an LLM sandbox to interact with attackers safely.

Meisam Eslahi

Executive Director - EC-Council

The framework generates high-fidelity threat intelligence, detecting command patterns and techniques used by real attackers. The combination of realism and automation allows security teams to operate realistic honeypots without the traditional maintenance and supervision costs. Beelzebub represents a significant evolution in proactive detection: it acts as an early warning system, reduces false positives, and helps refine defenses through real operational information on attacks targeting environments with artificial intelligence.

Paul Martinez

Senior Manager, Cybersecurity at KPMG

The Beelzebub framework is an advanced honeypot that provides a very secure environment for detecting and analyzing attacks. The framework is very easy to set up and uses artificial intelligence to simulate the behavior of a honeypot.

Peyman Khodabandeh

Security Audit Team Leader - Tejarat Bank

Prompt injection is still an open threat. Beelzebub’s new MCP honeypot catches it in action, right inside your agent pipeline. Trigger logs. Attack metrics. Safer models.

GitHub Projects Community

Beelzebub: Open-source Honeypot! AI-powered honeypot framework creates a secure, high-interaction environment to detect and analyze cyber threats. It’s designed for low-code deployment and supports multi-protocol decoys like SSH, HTTP, TCP, and MCP to detect prompt injection attacks against LLM agents. Unlike traditional honeypots, Beelzebub uses an LLM sandbox to interact with attackers safely.

Meisam Eslahi

Executive Director - EC-Council

The framework generates high-fidelity threat intelligence, detecting command patterns and techniques used by real attackers. The combination of realism and automation allows security teams to operate realistic honeypots without the traditional maintenance and supervision costs. Beelzebub represents a significant evolution in proactive detection: it acts as an early warning system, reduces false positives, and helps refine defenses through real operational information on attacks targeting environments with artificial intelligence.

Paul Martinez

Senior Manager, Cybersecurity at KPMG

Example incident flow

See one reachable path become response-ready evidence.

Point tools stop at isolated findings. Beelzebub carries context from validation through detection and analysis, while active steps and response actions remain governed by your team.

01Discover

Arcangelo

Find the reachable exposure

Continuously map internal and external assets, identities, services, and the relationships an attacker could attempt next.

02Validate

Arcangelo

Validate the path safely

Agentic penetration testing validates the route inside an approved scope and preserves the evidence needed to prioritize remediation.

03Detect

Beelzebub Platform

Detect real movement

Place a realistic decoy on the validated route. Direct interaction becomes a high-confidence signal for the SOC.

04Analyze

Caronte

Prepare the response

Analyze the payload and infrastructure, extract IoCs and TTPs, and export the investigation into existing workflows.

Built for enterprise review

Answer the control questions before the proof of value.

Give security, architecture, and procurement teams a clear view of deployment boundaries, approvals, evidence, and integration paths. Final controls and data handling are scoped to your deployment.

Deployment boundaries

Fit the environment, not the other way around.

Deploy with Docker or Kubernetes across cloud and on-premises environments. Local model options support restricted and air-gapped evaluation paths.

Governed testing

Keep active actions inside an approved scope.

Arcangelo separates autonomous discovery and planning from human-approved exploitation, with evidence preserved for review and remediation.

Audit-ready evidence

Give technical and governance teams the same facts.

Translate findings into technical evidence and map them to frameworks such as MITRE ATT&CK, NIST CSF, ISO 27001, DORA, and NIS2.

Controlled response

Integrate without surrendering change control.

Route structured events and investigation context through APIs and webhooks. Configure containment to match your approval and response processes.

Discuss security requirements

Built for the stack you already trust

Keep your SOC. Give it evidence it can trust.

Deploy across cloud and Kubernetes, then route verified context into the SIEM, SOAR, XDR, and response workflows your team already uses via supported deployment patterns, APIs, and webhooks.