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Sakana AI's Fugu-Cyber demonstrates that specialized orchestration models can achieve state-of-the-art performance in both vulnerability verification and threat intelligence mapping, narrowing the gap with general frontier capabilities like GPT-5.5-Cyber while offering a distinct security-tuned endpoint within its existing architecture. The release highlights a strategic shift toward domain-specific agents for critical infrastructure tasks rather than relying solely on broad-purpose model scaling to solve complex cybersecurity reasoning problems.
Source coveringMarkTechPost
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

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

MarkTechPost4 min read

Sakana AI has released Fugu-Cyber, a security-tuned endpoint on its Fugu orchestration model. It reports 86.9% on CyberGym and 72.1% on CTI-REALM, edging past GPT-5.5-Cyber and Claude Mythos Preview. Access is gated behind manual approval, a defensive-use policy, and the Token Plan. Here is what the numbers actually mean. The post Sakana AI Releases Fugu-Cyber: An Orchestration Model Reporting 86.9% on CyberGym and 72.1% on CTI-REALM appeared first on MarkTechPost.

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…

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