Sakana AI Releases Fugu-Cyber: An Orchestration Model Reporting 86.9% on CyberGym and 72.1% on CTI-REALM
Sakana AI has released Fugu-Cyber (model ID is fugu-cyber-v1.0), a cybersecurity-specialized addition to its Fugu orchestration family. It is not just a new frontier model. It is a third endpoint on the Fugu orchestrator, tuned for security reasoning. Sakana launched that orchestrator a month earlier. Sakana reports a success rate of 86.9% on CyberGym and 72.1% on CTI-REALM. It describes those results as comparable to cyber-focused frontier models such as GPT-5.5-Cyber and Claude Mythos Prev
Sakana AI released Fugu-Cyber, a cybersecurity-focused orchestration model that coordinates multiple specialist AI models to solve security tasks. The model reported performance scores of 86.9% on CyberGym, a benchmark testing vulnerability discovery and proof-of-concept generation, and 72.1% on CTI-REALM, a benchmark testing threat detection rule creation from security reports. These scores represent marginal improvements over comparable frontier models, with access restricted through manual application review, acceptable use policies limiting defensive use, and pricing at a 20% premium over the base Fugu model. The orchestration approach uses specialized roles for different stages of security analysis, with verification emphasized as the critical component before any patches are proposed.
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