Labyrinth Deception

LABYRINTH is a Polish-Ukraine developed, fully on-premise deception platform designed to detect and disrupt cyber attackers at the earliest stages of intrusion. Created during the war in Ukraine and validated in real-world cyber battle conditions, it reflects a practical, field-tested approach to modern threat detection.
The platform deploys a network of high-fidelity decoys and traps for both IT and OT environments, forming a dynamic “labyrinth” of illusions within an organisation’s infrastructure. Attackers are lured into interacting with these deceptive assets, enabling early detection before critical systems are reached.
LABYRINTH is fully passive and non-intrusive, making it particularly well-suited for critical infrastructure and highly regulated environments. It supports organisations in meeting NIS2 requirements for continuous monitoring, early threat detection, and incident response readiness. Its architecture aligns with regulatory expectations across Europe, including guidance from national authorities such as the Belgian Centre for Cybersecurity (CCB) for protecting essential services.
Designed for flexibility, LABYRINTH can be deployed as a virtual appliance, on dedicated hardware, or within existing virtualised environments. It requires minimal configuration, integrates seamlessly into existing infrastructure, and delivers immediate operational value without disrupting operations. By combining battlefield-proven resilience, innovative deception techniques, and compliance-ready deployment, LABYRINTH provides a powerful, proactive layer of defence against advanced cyber threats.

LABYRINTH is a fully on‑premise Polish deception platform that uses realistic decoys and traps across IT and OT networks to lure and detect attackers early. It passively monitors traffic and interaction with fake assets to reveal intrusions with high‑fidelity alerts and minimal false positives, helping critical infrastructure and NIS2‑regulated organizations strengthen network monitoring and incident readiness while keeping full control of their data.

LABYRINTH is innovative because it was engineered and field tested during the war in Ukraine, directly against real attackers, not just in lab simulations. It combines a fully on‑premise, passive architecture with high‑fidelity IT and OT decoys, giving critical infrastructure an advanced deception layer without adding inline risk or data exposure. Beyond detection, LABYRINTH includes built‑in attack‑vector validation tools that continuously benchmark the customer environment, uncovering misconfigurations that could become attack paths. This makes it not only a deception platform, but also a powerful example of a truly preemptive cyber defense strategy.

LABYRINTH significantly increases resilience by forcing attackers to operate in a fake environment first, wasting their time and revealing their tactics long before they can touch real assets. As a fully on‑premise, passive solution, it does not sit inline, so it cannot be used as an attack path or single point of failure, even in highly sensitive IT and OT networks. Its high‑fidelity decoys generate only meaningful, high‑confidence alerts, reducing noise and allowing security teams to react faster and more precisely. Built‑in attack‑vector validation continuously benchmarks the customer environment, uncovering misconfigurations and weak paths before they are exploited, turning LABYRINTH into a proactive shield rather than a purely reactive sensor. This combination of early detection, low operational risk, and continuous hardening makes the overall security posture more robust, especially for critical infrastructure and NIS2‑regulated organizations.

LABYRINTH is highly effective because any interaction with its decoys is automatically suspicious, which means alerts are high‑fidelity and carry very low false‑positive rates, enabling faster and more confident response. By forcing attackers into a controlled, fake environment, it reduces dwell time and exposes intrusions much earlier than traditional, log‑driven monitoring. Each engagement with the LABYRINTH traps also generates rich telemetry on attacker tools, paths and behavior, which raises the organization’s security awareness and improves threat intelligence for future defenses. Combined with continuous attack‑vector validation and misconfiguration discovery, this turns LABYRINTH into both an effective detection engine and a learning system that helps customers understand and harden their real environment over time.