Today, we are releasing an update to our Fugu orchestration model: Fugu Cyber. Available as a new API endpoint, Fugu-Cyber is purpose-built for the complexities of modern cyber defense. Fugu-Cyber achieves state-of-the-art performance on the industry’s most challenging security benchmarks, reaching a success rate of 86.9% on CyberGym and 72.1% on CTI-REALM, comparable to leading cybersecurity-focused frontier models such as GPT-5.5-Cyber and Mythos-Preview. Fugu-Cyber achieves state-of-the-art performance on real-world security benchmarks, matching cyber-focused frontier models like GPT-5.5-Cyber and Mythos Preview. Together, these benchmarks test the core pillars of enterprise defense: CyberGym evaluates an agent’s ability to analyze complex codebases to verify real-world vulnerabilities, while CTI-REALM measures its capacity to translate raw threat intelligence reports into working detection rules. Like our original Fugu orchestration model, Fugu-Cyber is a multi-agent system that behaves like a single model. You send a request to one endpoint, and the system dynamically orchestrates a pool of specialized agents to tackle complex, multi-step tasks without the risk of single-vendor dependency. It is now available as a new API endpoint in sakana.ai/fugu The Reality Check on Frontier Cyber Capabilities Achieving high scores on an evaluation is only the beginning of the story. Recently, there has been a lot of fearmongering about the cyber capabilities of frontier models. Much of the industry narrative suggests that simply granting an organization access to a frontier model with cyber capabilities will instantly solve their security challenges. We believe it is time to ground this conversation in reality. As highlighted in a recent Nikkei Digital Governance report (in Japanese), simply having access to a frontier model like Anthropic’s Mythos does not magically solve enterprise security. In reality, large organizations, including major financial institutions, often struggle to operationalize these tools. Without specialized internal talent and deep integration into proprietary source code, a frontier model,