Beelzebub

Beelzebub is an active defense and deception platform that validates exploitable attack paths, detects attacker movement through decoys, and converts threat artifacts into response-ready evidence. It addresses blind spots between exposure discovery, runtime detection, and incident response by carrying context through a continuous defense loop.

The platform combines three products: Arcangelo for internal and external attack surface management with agentic penetration testing and human-approved exploitation; Beelzebub Platform for deception-based detection across cloud, Kubernetes, networks, APIs, and AI agent surfaces, with AI-led investigation and response orchestration; and Caronte for malware analysis and threat intelligence, using the open-source Azazel sandbox for isolated behavioral analysis, agentic reverse engineering, indicator extraction, and threat infrastructure graphs. It deploys via Docker or Kubernetes in cloud and on-premises environments, supports local models for restricted paths, and exports to SIEM, SOAR, and XDR workflows through APIs, webhooks, and formats such as STIX/TAXII, JSON, and CSV.

Beelzebub is aimed at SOC and blue teams, CTI and incident response analysts, and security and architecture teams. Open-source components include Beelzebub Runtime and Azazel Sandbox. Commercial packaging is organized around a scoped proof of value; no specific plan tiers or pricing details are stated.