Beelzebub offers an AI-native security platform that uses full‑stack deception to protect modern infrastructure. It automatically deploys AI‑powered decoys across IoT devices, Kubernetes clusters, cloud environments, and APIs, triggering alerts only on genuine threats and eliminating false positives. The platform’s autonomous SOC agents perform rapid threat analysis and containment, cutting mean‑time‑to‑response from hours to seconds and reducing SOC operational costs by up to 60%.
Funding
€3.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Traditional security tools such as SIEMs and EDRs rely on passive log analysis and signature matching, producing large volumes of false positives and slow response times. As AI-driven attacks and supply‑chain exploits become more sophisticated, organizations struggle to detect lateral movement and contain threats before damage spreads.
Solution
Beelzebub delivers an AI‑native security platform that combines full‑stack deception, real‑time threat analysis, and autonomous SOC response. The system deploys runtime deception sensors—high‑interaction decoys that mimic vulnerable assets across IoT, Kubernetes, cloud, and API layers—so any attacker interaction is automatically classified as malicious. Captured activity is processed by AI‑powered SOC agents that sandbox malware, inspect network traffic, and generate executive‑ready reports. The platform then isolates the threat instantly and conducts post‑mortem analysis without human intervention, reducing mean‑time‑to‑response from hours to seconds while eliminating false‑positive alerts.
Target Audience
Primary customers are security teams in enterprises, cloud service providers, and critical‑infrastructure operators that need proactive, low‑false‑positive threat detection and rapid automated response across heterogeneous environments.
Features
- Runtime deception sensors that create realistic, vulnerable‑looking decoys across the entire infrastructure with zero impact on production workloads
- AI‑driven detection that generates 100 % true‑positive alerts when attackers interact with deception assets
- Autonomous SOC agents that perform end‑to‑end threat analysis, including malware sandboxing, network inspection, and automated intelligence extraction
- Machine‑speed containment that isolates compromised assets instantly and runs post‑mortem forensics autonomously
- Integration via webhooks, APIs, and native connectors for firewalls, identity providers, SOAR platforms, and SIEM tools
- Support for legacy, OT, air‑gapped, and cloud‑native environments without requiring endpoint agents