HOSHI is a use case factory platform developed by Sesame IT, designed to accelerate the detection of advanced cyber threats by supplying ready-made attack use cases to the Jizô AI detection engine. The platform addresses the traditional threat detection workflow — which requires analysts to manually understand new TTPs, convert attacks into network-readable language, create detection rules, inspect flows, and correlate alerts — by reducing that multi-step process to a streamlined two-step approach: identifying a new threat and retrieving its corresponding use case from the HOSHI platform. Key operational concepts: - Use cases are updated daily, providing coverage of emerging and cutting-edge attack techniques. - Operators can browse and select relevant use cases based on their industry and specific risk exposure. - Selected use cases are fed directly into Jizô AI, enriching its detection rules database and enabling near-instant identification of ongoing attacks. - The combination of HOSHI and Jizô AI enables detection from the initial phase of an attack, supporting early-stage threat identification. - The platform claims a 3x improvement in detection speed for advanced threats compared to conventional manual processes. HOSHI is positioned as a companion product to Jizô AI, and its primary function is to serve as a curated, continuously updated library of attack scenarios that operators can deploy into their detection infrastructure without requiring deep manual analysis or rule-writing expertise.