SICUR 2026 Brokerage Event - Cluster 3

24–26 Feb 2026 | Madrid, Spain

XRF

Company

www.xrf.ai/MADRID, Spain
12 profile visits

About

XRF is a European deep-tech company building AI-native command, control and decision systems for dual-use defence and industrial environments.
Our technology enhances situational awareness, mission planning and real-time decision-making to protect critical infrastructure and complex operations across land, air and maritime domains.

XRF develops and deploys on-premise, secure AI systems designed to operate in contested, disconnected and high-risk environments. Our platforms integrate data from sensors, UAVs, video feeds, GIS and operational systems to deliver actionable intelligence for security forces, emergency services and industrial operators.

We are an official participant in NATO DIANA, contributing to the development of resilient, interoperable and sovereign AI capabilities aligned with NATO standards. Our solutions are currently operationally deployed under contracts in Spain and the Netherlands, supporting defence, emergency response and critical infrastructure protection missions.

XRF’s dual-use approach bridges military-grade reliability with industrial scalability, enabling governments and operators to anticipate threats, coordinate responses and secure essential assets in real time.

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Border Management

HORIZON-CL3-2026-01-BM-01: Advanced border surveillance and situational awareness

Disaster-resilient society

HORIZON-CL3-2026-01-DRS-02: Multi-hazard approach and cumulative / cascading impactsHORIZON-CL3-2026-01-DRS-03: Development of innovative tools, processes, equipment and technologies through responses to disasters and emergencies for search and rescue in hazardous conditionsHORIZON-CL3-2026-01-DRS-05: Climate security and civil preparedness – new ways to develop pre- and post-crisis climate-change related scenarios for a more resilient Europe

Resilient Infrastructure

HORIZON-CL3-2026-01-INFRA-03: Targeted innovative capabilities for the resilience of critical entities to natural and human-induced disasters, including hybrid scenarios

Representatives

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XRF