Sakana AI Releases Fugu-Cyber: Orchestration Model Scores 86.9% on CyberGym and 72.1% on CTI-REALM

Sakana AI has released Fugu-Cyber, an orchestration model purpose-built for cybersecurity tasks, reporting 86.9% on the CyberGym benchmark and 72.1% on CTI-REALM — two specialized evaluations for cyber threat intelligence and response. The model is designed to coordinate lower-level security tools and agents rather than act as a monolithic reasoner, positioning it in the emerging category of orchestration-layer AI. For security engineers and AI developers building threat intelligence pipelines, Fugu-Cyber represents a concrete step toward specialized agentic systems that can manage complex, multi-step security workflows. Sakana AI has been notable for evolutionary and compositional approaches to model development, and this release extends that philosophy into a high-stakes applied domain. Developers working on CTI pipelines, SOC automation, or red-team tooling should evaluate the published benchmarks against their specific threat models.