--- title: "Claude launches the Enterprise plan! These three points are worth referencing for B-end products!" description: "Anthropic emphasized three updates to the Claude Enterprise Edition: a context window of 500,000 tokens for larger usage, GitHub integration, and most importantly, enterprise-level security features" type: "news" locale: "en" url: "https://longbridge.com/en/news/213499921.md" published_at: "2024-09-05T03:25:40.000Z" --- # Claude launches the Enterprise plan! These three points are worth referencing for B-end products! > Anthropic emphasized three updates to the Claude Enterprise Edition: a context window of 500,000 tokens for larger usage, GitHub integration, and most importantly, enterprise-level security features **Enterprise** (**B-end**) **customers** have always been a battleground for AI companies, whether domestic or foreign, such as Baidu Wenxin, Alibaba Tongyi, OpenAI, and Anthropic, to name a few. Today, Anthropic officially announced the launch of `Claude for Enterprise`, a product/plan targeting enterprise customers. It was highlighted in social media and updated articles that Claude Enterprise Edition has **three major updates**: a 500,000 token context window + increased usage, GitHub integration, and most importantly, enterprise-level security features. ## 1\. 500,000 token context window + increased usage In this update, the first half, the 500,000 token context window, is particularly important. What does 500,000 tokens mean? According to Anthropic, it is equivalent to hundreds of sales records, dozens of 100+ page documents, or a medium-sized codebase. It is worth noting that the Claude series models only provide 200K context, while OpenAI's GPT series models have only 128K. So why does `Claude for Enterprise` need to provide such a large context window for enterprise customers? It's because of **data**. Data input is a prerequisite for the good performance of LLM/AI tools. For enterprises, the amount of data to be processed is huge, especially when dealing with large documents and codebases across departments and projects, traditional context windows often prove to be insufficient. In this case, the 500,000 token context window ensures that Claude can process and understand massive amounts of information without the need to segment or break down data frequently. This is also why Anthropic emphasizes enterprise data on the `Claude for Enterprise` page. ## 2\. GitHub Integration The GitHub integration feature allows Claude to synchronize a company's GitHub repository, enabling direct code references in Claude's context. This allows Claude to provide code-level suggestions, whether for new feature development, debugging code issues, or helping new members quickly get started on projects ![Image](https://imageproxy.pbkrs.com/https://wpimg-wscn.awtmt.com/b01a09e1-ca0e-41c9-bd0c-de15894978d0.jpeg?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg) Why did Claude choose GitHub as the first third-party data source to be integrated into `Claude for Enterprise`? Looking at GitHub alone, it is the most widely used code hosting platform globally, with millions of enterprises relying on it for project management, code collaboration, and version control. And coding ability is a major strength of the Claude series models, even surpassing `GPT-4o`. It can be said that Claude hit the nail on the head with this move. Furthermore, GitHub should not and will not be the only third-party data source worth integrating for B-end customers. For B-end customers, seamless integration with existing enterprise systems and data sources can reduce the hassle of switching tools, allowing employees to work on the most familiar platform at all times. This is a good reference for AI tools targeting B-end users. ## 3\. Enterprise-level Security Features **Data security** is an unavoidable issue for every B-end AI product. In this update, `Claude for Enterprise` emphasizes the following enterprise-level security features: 1. **Single Sign-On (SSO)**: Ensures secure user access management, with centralized control over user configurations. 2. **Role-based access control**: Provides fine-grained permission settings, designating key personnel for workspaces to enhance security and information management. 3. **Audit logs**: Tracks system activities for security and compliance monitoring. 4. **System for Cross-domain Identity Management (SCIM)**: Automates user configuration and access control. Author: Mu Yi, Source: AI Information Gap, Original Title: "Claude Launches Enterprise Plan!" 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