Disasters are becoming more frequent, intense, and costly, with the most vulnerable communities paying the highest price. According to the Global Assessment Report on Disaster Risk Reduction (GAR 2025), direct disaster losses reach $202 billion annually, with true costs exceeding $2.3 trillion when cascading impacts are included. The “big five” disasters (earthquakes, floods, storms, droughts, and heatwaves) account for over 95% of losses worldwide.
Resilience remains underfunded, and governments still spend far more on repair than on prevention. Integrating ClimateTech into disaster management is no longer just a technological goal; it is increasingly a legal requirement. For example, Article 110 of the European Electronic Communications Code (EECC) mandates the deployment of public warning systems capable of reaching populations effectively during emergencies. Beyond Europe, frameworks promoted by the United Nations also stress the need for proactive, technology-driven disaster preparedness.
ClimateTech, short for climate technology, encompasses solutions designed to reduce greenhouse gas emissions or help societies adapt to the impacts of climate change. At Intersec, our focus is on the latter: helping communities prepare for, respond to, and adapt to climate-related risks. Our solutions include advanced early warning systems, from real-time situational awareness and AI-driven notification triggering, geolocation-based population alerting. These technologies work together to strengthen disaster preparedness and public safety.
Effective disaster response relies on one critical resource: data.
Actionable insights emerge from a wide variety of sources, such as meteorological information, satellite imagery, hydrological and seismic readings, population density maps, and real-time mobile network data.
When combined, these datasets reveal where people are located, how hazards are evolving, and which areas are most exposed. For civil protection agencies, this integrated view supports faster risk assessment, more precise targeting of alerts, and improved coordination with emergency responders. Reliable, interoperable data is also key to ensuring cross-agency collaboration, from meteorological services and telecom operators to national crisis centers.
By delivering structured intelligence, such systems allow authorities to issue early warnings, route emergency calls more efficiently, and deliver life-saving alerts to those in harm’s way. The ability to collect, process, and share accurate data in real time ultimately determines how well societies can anticipate, respond to, and recover from climate-related disasters.
World Weather Attribution studies in 2024. Source
ClimateTech, when augmented with AI, transforms disaster management into an assisted, human-validated process. For civil protection officers and emergency coordinators, the system acts as an intelligent co-pilot, guiding decision-making under pressure. In the case of a wildfire for example, AI-enriched ClimateTech solutions can:
These capabilities help crisis teams act quickly and consistently, even when facing multiple concurrent events. Real-time statistical tracking also delivers valuable insights into population behaviour, system performance, and message reach.
Human validation does remain essential. AI does not replace decision-makers, but rather amplifies their ability to manage complexity, reduces human error, and ensures that each alert is clear, relevant to the population, and compliant with national standards. For authorities, the result is a faster, more informed response that strengthens public trust and operational readiness.
As AI becomes central to disaster management, governance must evolve alongside innovation. The EU Artificial Intelligence Act classifies systems used in emergency response as “high-risk,” subjecting them to strict standards of transparency, traceability, and human oversight. This ensures that AI-powered tools assisting authorities are not only effective but also accountable. Clear documentation, quality data, and well-defined user responsibilities help prevent misuse and bias, reinforcing public trust. By embedding ethical principles and oversight into the heart of ClimateTech, we ensure that AI remains a trusted ally, that enhances human judgment rather than replacing it.