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Beelzebub Raises $3.4 Million Seed Funding for AI-Native Cybersecurity Platform

🔄 Updated 1d ago
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Key points

  • Beelzebub raised $3.4 million in seed funding.
  • The platform uses AI for threat detection and containment.
  • Funding will expand research and open new offices.
  • The company targets NIS2-regulated organizations.

Funding Details

Beelzebub, an Italian AI-native cybersecurity company, announced it has raised €3 million (approximately $3.4 million) in a seed funding round. The investment was led by VC firm United Ventures, increasing the company's total funding to $3.8 million.

Platform Capabilities

Founded in 2025, Beelzebub's platform combines red- and blue-teaming capabilities to address AI-powered cyber threats. It operates on the assumption that attackers have already breached the network. The system then ensnares attackers in a closed loop that integrates simulation, detection, and threat intelligence.

The platform uses continuous adversary emulation to identify potential attack paths before exploitation and employs runtime deception technology with LLM-powered traps to detect and contain intrusions. It also isolates affected systems, initiates incident response, and uses autonomous threat intelligence to convert intercepted attacks into defensive measures. An AI analyst dissects detected malware and generates incident reports. The platform supports on-premises deployment for sensitive environments.

Future Plans

Beelzebub plans to use the new investment to expand its research team and establish new offices in Rome and San Francisco. The company also intends to acquire additional clients across Europe, with a focus on organizations subject to NIS2 regulations. The platform is designed to be NIS2-ready and receives live threat intelligence from over 60 independent researchers globally, available as SaaS or on-premises.

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Reporting from

Italian cybersecurity company Beelzebub secured €3 million (~$3.4 million) in seed funding, led by United Ventures, bringing its total raised to $3.8 million. The company develops an AI-native platform that uses deception technology and continuous adversary emulation to detect and contain cyber threats post-breach. This funding will support research team expansion, new office openings, and client acquisition, particularly targeting NIS2-regulated organizations.