{"id":106992,"date":"2026-07-26T19:41:38","date_gmt":"2026-07-26T19:41:38","guid":{"rendered":"https:\/\/youzum.net\/sakana-ai-releases-fugu-cyber-an-orchestration-model-reporting-86-9-on-cybergym-and-72-1-on-cti-realm\/"},"modified":"2026-07-26T19:41:38","modified_gmt":"2026-07-26T19:41:38","slug":"sakana-ai-releases-fugu-cyber-an-orchestration-model-reporting-86-9-on-cybergym-and-72-1-on-cti-realm","status":"publish","type":"post","link":"https:\/\/youzum.net\/ja\/sakana-ai-releases-fugu-cyber-an-orchestration-model-reporting-86-9-on-cybergym-and-72-1-on-cti-realm\/","title":{"rendered":"Sakana AI Releases Fugu-Cyber: An Orchestration Model Reporting 86.9% on CyberGym and 72.1% on CTI-REALM"},"content":{"rendered":"<p class=\"wp-block-paragraph\">Sakana AI has released <a href=\"https:\/\/sakana.ai\/fugu-cyber-release\/\">Fugu-Cyber<\/a> (model ID is <code>fugu-cyber-v1.0<\/code>), a cybersecurity-specialized addition to its Fugu orchestration family. It is not just a new frontier model. It is a third endpoint on the <a href=\"https:\/\/sakana.ai\/fugu\/\">Fugu orchestrator<\/a>, tuned for security reasoning. <a href=\"https:\/\/www.marktechpost.com\/2026\/06\/22\/sakana-ai-launches-sakana-fugu-an-orchestration-model-that-routes-tasks-across-a-swappable-pool-of-frontier-llms\/\">Sakana launched that orchestrator a month earlier<\/a>.<\/p>\n<p class=\"wp-block-paragraph\">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 Preview.<\/p>\n<h2 class=\"wp-block-heading\"><strong>What the two benchmarks actually measure<\/strong><\/h2>\n<p class=\"wp-block-paragraph\"><strong>The two evaluations sit at opposite ends of a security workflow<\/strong>:<\/p>\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/www.cybergym.io\/cybergym\/\">CyberGym<\/a> is a UC Berkeley benchmark of 1,507 real-world vulnerabilities across 188 OSS-Fuzz projects. In its main task, an agent receives a vulnerability description and an unpatched codebase. It must write a proof-of-concept that crashes the pre-patch build but not the post-patch build. That verification step is what makes the benchmark hard to game.<\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2603.13517\">CTI-REALM<\/a> is Microsoft\u2019s open-source detection-engineering benchmark. Microsoft curated 37 public threat reports from sources including Datadog Security Labs, Palo Alto Networks, and Splunk. An agent must map MITRE ATT&amp;CK techniques, explore telemetry, iterate on KQL queries, and emit validated Sigma rules. Scoring covers Linux endpoints, Azure Kubernetes Service, and Azure cloud.<\/li>\n<\/ul>\n<p class=\"wp-block-paragraph\">Together the pair spans \u2018find and prove the bug\u2019 and \u2018turn intel into a detection.\u2019 That framing is the most defensible part of Sakana\u2019s announcement.<\/p>\n<h2 class=\"wp-block-heading\"><strong>Where 86.9% sits against the field<\/strong><\/h2>\n<p class=\"wp-block-paragraph\">Context matters more than the number.<\/p>\n<p class=\"wp-block-paragraph\">When the <a href=\"https:\/\/arxiv.org\/abs\/2506.02548\">CyberGym researchers published<\/a> their first results, the best agent-model pairing reached roughly 20%. Anthropic reported 83.1% for Claude Mythos Preview under <a href=\"https:\/\/www.anthropic.com\/glasswing\">Project Glasswing<\/a> in April 2026. OpenAI reported 85.6% for its updated <a href=\"https:\/\/openai.com\/index\/gpt-5-5-with-trusted-access-for-cyber\/\">GPT-5.5-Cyber<\/a>, against 81.8% for GPT-5.5. Sakana\u2019s 86.9% is therefore a small step past the reported frontier, not a jump.<\/p>\n<p class=\"wp-block-paragraph\">CTI-REALM is a different story. Microsoft\u2019s own evaluation put the top three configurations, all Claude, in a band from 0.624 to 0.685. Fugu-Cyber\u2019s 72.1% would sit above that band. One caveat matters. CTI-REALM is scored as a trajectory reward between 0 and 1. It is not a pass\/fail rate. Sakana calls it a success rate anyway.<\/p>\n<p><!-- Fugu-Cyber interactive explainer | Marktechpost | paste into a Custom HTML block --><\/p>\n<p class=\"wp-block-paragraph\">\n<h2 class=\"wp-block-heading\">How the orchestration works<\/h2>\n<\/p><p class=\"wp-block-paragraph\">Fugu is itself a language model. It is trained to read a query and build an agentic scaffold on the fly. It then delegates sub-tasks to specialist models in a pool.<\/p>\n<p class=\"wp-block-paragraph\">The approach is documented in the <a href=\"https:\/\/arxiv.org\/abs\/2606.21228\">Fugu technical report<\/a> and two ICLR 2026 papers, <a href=\"https:\/\/arxiv.org\/abs\/2512.04695\">TRINITY<\/a> and <a href=\"https:\/\/arxiv.org\/abs\/2512.04388\">the Conductor<\/a>. TRINITY assigns Thinker, Worker, and Verifier roles across multiple LLMs. The Conductor learns natural-language coordination strategies through reinforcement learning.<\/p>\n<p class=\"wp-block-paragraph\">For security work, Sakana research team argues the verifier role is the point. A candidate vulnerability surfaced by one agent gets validated by security-specialized sub-agents before any patch is proposed. Routing remains proprietary, so you cannot see which model handled which step.<\/p>\n<h2 class=\"wp-block-heading\"><strong>Access, policy, and price<\/strong><\/h2>\n<p class=\"wp-block-paragraph\">Fugu-Cyber is gated on four dimensions.<\/p>\n<p class=\"wp-block-paragraph\">Access requires an application form stating the intended use case and verified contact details. Sakana team reviews each one manually. The model ships under an updated Acceptable Usage Policy that prohibits offensive misuse. Billing is restricted to the Token Plan. The $20, $100, and $200 subscription tiers cover Fugu and Fugu-Ultra only. And the Fugu API is not offered in the EU or EEA while Sakana works toward GDPR compliance.<\/p>\n<p class=\"wp-block-paragraph\">Pricing is fixed at $6 per million input tokens, $36 output, and $0.60 cached input. All three rates double above a 272K-token context. Every line is exactly 1.2\u00d7 the Fugu-Ultra rate, a flat 20% premium for the cyber endpoint. Long codebase runs cross 272K easily, so the doubled tier is not an edge case.<\/p>\n<p class=\"wp-block-paragraph\">\n<\/p><p><!-- Fugu-Cyber deployability checker | Marktechpost | paste into a Custom HTML block --><\/p>\n<p class=\"wp-block-paragraph\">\n<h2 class=\"wp-block-heading\"><strong>Key Takeaways<\/strong><\/h2>\n<ul class=\"wp-block-list\">\n<li>Fugu-Cyber is an orchestration endpoint, not a new frontier model, launched July 21, 2026.<\/li>\n<li>Sakana reports 86.9% on CyberGym and 72.1% on CTI-REALM, both self-reported and un-replicated.<\/li>\n<li>Those scores edge past GPT-5.5-Cyber\u2019s 85.6% and Claude Mythos Preview\u2019s 83.1% on CyberGym.<\/li>\n<li>Access is gated: manual approval, defensive-use AUP, Token Plan only, no EU\/EEA, no weights.<\/li>\n<li>Sakana\u2019s own position is that a capable API along with human security expertise beats the API alone.<\/li>\n<\/ul>\n<\/p><p class=\"wp-block-paragraph\">\n<\/p><p>The post <a href=\"https:\/\/www.marktechpost.com\/2026\/07\/25\/sakana-ai-releases-fugu-cyber-orchestration-model-cybergym-cti-realm\/\">Sakana AI Releases Fugu-Cyber: An Orchestration Model Reporting 86.9% on CyberGym and 72.1% on CTI-REALM<\/a> appeared first on <a href=\"https:\/\/www.marktechpost.com\/\">MarkTechPost<\/a>.<\/p>","protected":false},"excerpt":{"rendered":"<p>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 Preview. What the two benchmarks actually measure The two evaluations sit at opposite ends of a security workflow: CyberGym is a UC Berkeley benchmark of 1,507 real-world vulnerabilities across 188 OSS-Fuzz projects. In its main task, an agent receives a vulnerability description and an unpatched codebase. It must write a proof-of-concept that crashes the pre-patch build but not the post-patch build. That verification step is what makes the benchmark hard to game. CTI-REALM is Microsoft\u2019s open-source detection-engineering benchmark. Microsoft curated 37 public threat reports from sources including Datadog Security Labs, Palo Alto Networks, and Splunk. An agent must map MITRE ATT&amp;CK techniques, explore telemetry, iterate on KQL queries, and emit validated Sigma rules. Scoring covers Linux endpoints, Azure Kubernetes Service, and Azure cloud. Together the pair spans \u2018find and prove the bug\u2019 and \u2018turn intel into a detection.\u2019 That framing is the most defensible part of Sakana\u2019s announcement. Where 86.9% sits against the field Context matters more than the number. When the CyberGym researchers published their first results, the best agent-model pairing reached roughly 20%. Anthropic reported 83.1% for Claude Mythos Preview under Project Glasswing in April 2026. OpenAI reported 85.6% for its updated GPT-5.5-Cyber, against 81.8% for GPT-5.5. Sakana\u2019s 86.9% is therefore a small step past the reported frontier, not a jump. CTI-REALM is a different story. Microsoft\u2019s own evaluation put the top three configurations, all Claude, in a band from 0.624 to 0.685. Fugu-Cyber\u2019s 72.1% would sit above that band. One caveat matters. CTI-REALM is scored as a trajectory reward between 0 and 1. It is not a pass\/fail rate. Sakana calls it a success rate anyway. How the orchestration works Fugu is itself a language model. It is trained to read a query and build an agentic scaffold on the fly. It then delegates sub-tasks to specialist models in a pool. The approach is documented in the Fugu technical report and two ICLR 2026 papers, TRINITY and the Conductor. TRINITY assigns Thinker, Worker, and Verifier roles across multiple LLMs. The Conductor learns natural-language coordination strategies through reinforcement learning. For security work, Sakana research team argues the verifier role is the point. A candidate vulnerability surfaced by one agent gets validated by security-specialized sub-agents before any patch is proposed. Routing remains proprietary, so you cannot see which model handled which step. Access, policy, and price Fugu-Cyber is gated on four dimensions. Access requires an application form stating the intended use case and verified contact details. Sakana team reviews each one manually. The model ships under an updated Acceptable Usage Policy that prohibits offensive misuse. Billing is restricted to the Token Plan. The $20, $100, and $200 subscription tiers cover Fugu and Fugu-Ultra only. And the Fugu API is not offered in the EU or EEA while Sakana works toward GDPR compliance. Pricing is fixed at $6 per million input tokens, $36 output, and $0.60 cached input. All three rates double above a 272K-token context. Every line is exactly 1.2\u00d7 the Fugu-Ultra rate, a flat 20% premium for the cyber endpoint. Long codebase runs cross 272K easily, so the doubled tier is not an edge case. Key Takeaways Fugu-Cyber is an orchestration endpoint, not a new frontier model, launched July 21, 2026. Sakana reports 86.9% on CyberGym and 72.1% on CTI-REALM, both self-reported and un-replicated. Those scores edge past GPT-5.5-Cyber\u2019s 85.6% and Claude Mythos Preview\u2019s 83.1% on CyberGym. Access is gated: manual approval, defensive-use AUP, Token Plan only, no EU\/EEA, no weights. Sakana\u2019s own position is that a capable API along with human security expertise beats the API alone. 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.<\/p>","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"pmpro_default_level":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"_pvb_checkbox_block_on_post":false,"footnotes":""},"categories":[52,5,7,1],"tags":[],"class_list":["post-106992","post","type-post","status-publish","format-standard","hentry","category-ai-club","category-committee","category-news","category-uncategorized","pmpro-has-access"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.3 - 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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&hellip;","_links":{"self":[{"href":"https:\/\/youzum.net\/ja\/wp-json\/wp\/v2\/posts\/106992","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/youzum.net\/ja\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/youzum.net\/ja\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/youzum.net\/ja\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/youzum.net\/ja\/wp-json\/wp\/v2\/comments?post=106992"}],"version-history":[{"count":0,"href":"https:\/\/youzum.net\/ja\/wp-json\/wp\/v2\/posts\/106992\/revisions"}],"wp:attachment":[{"href":"https:\/\/youzum.net\/ja\/wp-json\/wp\/v2\/media?parent=106992"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/youzum.net\/ja\/wp-json\/wp\/v2\/categories?post=106992"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/youzum.net\/ja\/wp-json\/wp\/v2\/tags?post=106992"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}