Beelzebub is an AI-focused deception security platform that deploys decoys across cloud, Kubernetes, API, and IoT environments, uses large language models to emulate interactive behavior in honeypots to collect attacker TTPs and payloads without executing attacker commands on production systems, and provides automation for investigation and SOC response workflows.
Published Oct 15, 2026
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| Aspect | Beelzebub | Thinkst Canary | Cowrie (OSS) |
|---|---|---|---|
| Starting Price | Pricing not publicly listed; vendor engagement and demos used for procurement | Published pricing available from the vendor (varies by plan) | Open-source, self-hosted option |
| Typical Fit | Teams seeking LLM-enabled deception and agent/tool-invocation detection, with interest in hybrid OSS + managed offerings | Organizations seeking turnkey deception with lower operational overhead | Lightweight SSH/Telnet honeypots and research |
| Key Strength | Uses LLMs to emulate interactive behavior; addresses agent/tool-invocation scenarios; open-source core | Established product with operational simplicity, dashboards, and alerting | Simple, proven, widely used for SSH telemetry |
| Key Weakness | Limited public documentation on enterprise compliance and limited coverage on mainstream review platforms; pricing opacity | May be less customizable for protocol-level or LLM-driven interactions | Narrower scope and requires integration work |