Milan Startup Beelzebub Secures €3 Million to Deploy AI‑Driven Hacker Traps

AI‑Powered Honeypots: Turning Attackers’ Tools Against Them

Beelzebub, an AI‑native cybersecurity firm based in Milan, announced a €3 million funding round on 27 July 2026. The capital will fuel the rollout of its AI‑powered „trap” system designed to shield digital assets from increasingly sophisticated, AI‑driven attacks.

The round was led by a consortium of European tech investors who see AI as both a threat and a solution. Beelzebub’s platform uses generative models to mimic vulnerable systems, luring malicious AI bots into controlled environments. By analyzing attacker behavior in real time, the system can neutralize threats before they reach genuine networks. The company says its approach reduces response times from hours to seconds, a crucial advantage as cybercriminals adopt AI tools.

Beelzebub’s core technology creates dynamic decoys that adapt to the tactics of AI‑driven malware. „Traditional honeypots are static and quickly identified,” explained CEO Laura Bianchi. „Our solution learns and evolves, staying one step ahead of the attacker’s algorithm.” Early trials with a European banking consortium showed a 70 % drop in successful intrusion attempts after deploying the traps. The platform also feeds anonymized data back to the security community, helping shape broader defensive standards.

Can AI Defend Against Itself in the Cyber Battlefield?

Investors are betting on the scalability of this model. The €3 million will support expansion into the U. S. market and the development of a cloud‑native version that can be integrated with existing security information and event management (SIEM) tools. Analysts note that the funding aligns with a broader surge in AI‑focused cybersecurity startups, a sector that has attracted over €500 million in venture capital this year alone.

The rise of AI‑generated phishing emails, deep‑fake scams, and autonomous ransomware has forced defenders to reconsider their playbook. Beelzebub argues that leveraging AI against AI is the most effective countermeasure. „We are not just reacting; we are anticipating,” Bianchi added. The company’s system can simulate a range of attack vectors, from credential stuffing to sophisticated code injection, allowing organizations to test defenses without exposing real assets.

Critics caution that reliance on AI could create new vulnerabilities if the models are compromised. Beelzebub counters this risk by employing rigorous model‑validation protocols and continuous monitoring. The startup plans to publish third‑party audit results later this year, aiming to build trust among skeptical enterprises.

The €3 million injection positions Beelzebub at the forefront of a new defensive paradigm. As AI tools become ubiquitous in both offense and defense, the company’s ability to outmaneuver malicious algorithms could set a benchmark for future security solutions. Industry watchers expect the firm’s growth to accelerate, potentially prompting larger incumbents to adopt similar AI‑centric strategies.

Frequently Asked Questions

What distinguishes Beelzebub’s traps from traditional honeypots? Beelzebub’s traps are AI‑driven, constantly adapting to attacker behavior, whereas conventional honeypots rely on static configurations that attackers can quickly detect.

How will the €3 million funding be used? The capital will finance product scaling, a cloud‑native deployment, and entry into the North American market, as well as support ongoing research and model validation.

Is the technology safe for sensitive industries like finance and healthcare? The platform undergoes strict security audits and isolates malicious activity within sandboxed environments, ensuring that real data remains untouched during testing.