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Average Ratings 0 Ratings
Description
Hinoki Offensive One (HO1) is a specialized AI model in the field of cybersecurity, tailored for offensive security operations while also facilitating defensive testing and research initiatives. This innovative tool is readily available through a range of developer platforms, such as Claude Code, OpenAI Codex, OpenCode, Visual Studio Code, and Cursor, allowing security experts to seamlessly integrate it into their coding and agent workflows. The official product site highlights its ability to perform multi-step task execution and its assessments against various cybersecurity benchmarks. HO1 is specifically designed for use by security researchers, penetration testers, and defenders who conduct authorized evaluations, vulnerability research, and security testing. Given its offensive features, it emphasizes the necessity of clear authorization, established safeguards, and responsible-use policies during deployment. Additionally, Hinoki provides comparative analyses with other cybersecurity-oriented and general-purpose AI models, aiding technical users in evaluating the model's performance for security-related activities. The emphasis on responsible deployment ensures that ethical considerations remain at the forefront of its usage.
Description
Llama Guard is a collaborative open-source safety model created by Meta AI aimed at improving the security of large language models during interactions with humans. It operates as a filtering mechanism for inputs and outputs, categorizing both prompts and replies based on potential safety risks such as toxicity, hate speech, and false information. With training on a meticulously selected dataset, Llama Guard's performance rivals or surpasses that of existing moderation frameworks, including OpenAI's Moderation API and ToxicChat. This model features an instruction-tuned framework that permits developers to tailor its classification system and output styles to cater to specific applications. As a component of Meta's extensive "Purple Llama" project, it integrates both proactive and reactive security measures to ensure the responsible use of generative AI technologies. The availability of the model weights in the public domain invites additional exploration and modifications to address the continually changing landscape of AI safety concerns, fostering innovation and collaboration in the field. This open-access approach not only enhances the community's ability to experiment but also promotes a shared commitment to ethical AI development.
API Access
Has API
No
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
Claude Code
Yes
Cursor
Yes
Llama
No
Nebius Token Factory
No
OpenAI
No
OpenAI Codex
Yes
OpenCode
Yes
Visual Studio Code
Yes
Integrations
Claude Code
No
Cursor
No
Llama
Yes
Nebius Token Factory
Yes
OpenAI
Yes
OpenAI Codex
No
OpenCode
No
Visual Studio Code
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Hinoki
Founded
2026
Country
United States
Website
hinoki.security/
Vendor Details
Company Name
Meta
Founded
2004
Country
United States
Website
ai.meta.com/research/publications/llama-guard-llm-based-input-output-safeguard-for-human-ai-conversations/
Product Features
Product Features
Alternatives
No Alternatives