Objective: This article examines how patent intelligence can support screening-oriented water-security governance for Iran without treating patent data as sufficient evidence for final policy decisions. Method: The study conducts a first-level patent landscape analysis of 276,890 records retrieved from Lens.org on 20 April 2026 through a structured query covering titles, abstracts, and claims, combined with water-related CPC/IPC classification filters. The analysis examines temporal trends, legal status, document type, technology classifications, applicants, owners, jurisdictions, and citation patterns. Findings: The results show that patenting activity in the selected dataset is strongly concentrated in treatment, purification, wastewater reuse, membrane processes, monitoring systems, smart water networks, remote sensing, and climate-related water intelligence. They also indicate that these technologies are embedded in legally structured and institutionally concentrated global innovation systems. Conclusion: For Iran, patent intelligence can help identify candidate technology areas, ownership concentration, legal-status patterns, dependency-risk exposure, and future assessment needs. However, final policy prioritization requires complementary techno-economic, environmental, claim-level legal, institutional, and domestic capability assessments.