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What is Hinoki Offensive One (HO1)?

Hinoki Offensive One (HO1) represents a cutting-edge AI solution in the realm of cybersecurity, specifically developed for offensive security tasks while also supporting defensive assessments and research endeavors. This advanced tool is accessible on several developer platforms, including Claude Code, OpenAI Codex, OpenCode, Visual Studio Code, and Cursor, enabling cybersecurity professionals to effortlessly incorporate it into their coding practices and operational workflows. The official product website showcases its capability to undertake complex, multi-step tasks and its benchmarking against various cybersecurity standards. Designed primarily for security researchers, penetration testers, and defenders involved in sanctioned evaluations, vulnerability assessments, and security testing, HO1 underscores the importance of obtaining clear authorization, maintaining robust safeguards, and adhering to responsible usage guidelines during its implementation. Furthermore, Hinoki offers comparative evaluations with other cybersecurity-focused and general AI models, which assists technical users in gauging the efficacy of HO1 for security-related functions. The commitment to ethical deployment is a crucial aspect of this model, ensuring that it is used responsibly and with due consideration for cybersecurity best practices. In doing so, it promotes a culture of accountability within the cybersecurity community.

What is Gemini 3.8 Flash Cyber?

Gemini 3.8 Flash Cyber is the latest and most sophisticated cybersecurity framework developed by Google, delivering unparalleled efficiency in detecting vulnerabilities and automating patch management with impressive speed for quick iterations. Designed specifically for reliable defenders, it is made available through the Fairwind Program. On CyberGym, a well-respected benchmark in the industry for vulnerability detection, this model demonstrates outstanding capabilities in autonomous vulnerability identification, surpassing both its predecessor, Gemini 3.5 Flash Cyber, and larger frontier models. Additionally, Google evaluated its performance on an internal benchmark that encompasses intricate codebases across 20 different programming languages, attaining a remarkable success rate exceeding 70% in identifying a range of vulnerabilities. Unlike many other models that prioritize offensive tactics, Gemini 3.8 Flash Cyber centers on the critical task of remediation, equipping defenders with sophisticated tools that bolster their defenses against cyber threats. This emphasis on proactive measures signifies an important evolution in the field of cybersecurity, shifting the focus from merely exploiting weaknesses to actively protecting systems and data. As cyber threats continue to evolve, the need for such a defensive strategy becomes increasingly vital for organizations seeking to enhance their security posture.

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Media

Integrations Supported

Cursor
Claude Code
OpenCode
Visual Studio Code

Integrations Supported

Cursor
Gemini 3.5 Flash
Gemini Computer Use
Google AI Mode
Google AI Studio
Google AI Ultra
HTML
Java
Objective-C
OfoxAI
PowerShell
R
Replit
Ruby
Rust
Scala
TypeScript

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

Hinoki

Date Founded

2026

Company Location

United States

Company Website

hinoki.security/

Company Facts

Organization Name

Google

Company Location

United States

Company Website

google.com

Categories and Features

AI Cybersecurity

Not specified

AI Models

Not specified

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

AI Vision Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Multimodal Models

Not specified

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