代幣安全啟動了非人類身份（NHI）的模型上下文協議（MCP）服務器

這種能力將代理AI的力量帶入了現代安全操作，並使團隊能夠使用簡單的自然語言與復雜的NHI數據進行交互。

Token Security, a startup providing an identity threat detection and response platform, announced Model Context Protocol (MCP) Server for non-human identity (NHI). This capability brings the power of agentic AI to modern security operations and enables teams to interact with complex NHI data using simple, natural language.

提供身份威脅檢測和響應平台的啟動Security宣布了非人類身份（NHI）的模型上下文協議（MCP）服務器。這種能力將代理AI的力量帶入了現代安全操作，並使團隊能夠使用簡單的自然語言與復雜的NHI數據進行交互。

The Token MCP Server leverages the open-standard Model Context Protocol to bridge large language models (LLMs) with enterprise identity data, delivering intelligent insights and guided remediation through a conversational interface.

令牌MCP服務器利用開放標準的模型上下文協議將大型語言模型（LLMS）帶有企業身份數據，提供智能見解並通過對話界面進行指導補救。

Security teams can now ask questions and make requests, such as:

安全團隊現在可以提出問題並提出請求，例如：

* "What is the riskiest service identity and why?"

*“最風險的服務身份是什麼？為什麼？”

* "An instance was compromised yesterday. Provide steps to mitigate the risk."

*“昨天遭到妥協的實例。提供減輕風險的步驟。”

* "Which identities have vulnerable credentials and how can I rotate them?"

*“哪些身份具有脆弱的憑據，我該如何旋轉它們？”

The AI-driven response will provide detailed answers and remediation guidance specific to the customer environment, identities, and data.

AI驅動的響應將提供針對客戶環境，身份和數據的詳細答案和補救指南。

“This launch is a major step toward agentic security operations,” said Nissim Pariente, CPO at Token Security. “By combining the power of AI with deep identity context, we’re turning natural language into real-time, actionable, autonomous, and environment-specific action.”

代幣安全性CPO Nissim Pariente說：“這次發布是邁向代理安全操作的重要一步。” “通過將人工智能的力量與深層身份背景相結合，我們將自然語言變成實時，可行，自主和特定環境的動作。”

“This is a game-changer for security teams,” said Tamir Ronen, CISO at HiBob. “Token MCP will turn time-consuming investigations into quick, AI-driven insights and a mitigation plan. This will save hours of identifying, prioritizing, and automating risk remediation.”

“這是安全團隊的遊戲規則改變者，” Hibob Ciso的Tamir Ronen說。 “令牌MCP將把耗時的調查轉變為快速，AI驅動的見解和緩解計劃。這將節省數小時的識別，優先級和自動化風險的方法。”

Unlocking visibility and actionability at scale

大規模解鎖可見性和可行性

Token MCP brings two critical capabilities to security teams:

令牌MCP為安全團隊帶來了兩個關鍵功能：

* Enhanced visibility: By aggregating context from identity posture risks to usage patterns and ownership data, Token MCP delivers a prioritized, holistic view of machine identity risk across environments, from cloud to on-premises.

*增強的可見性：通過將上下文從身份姿勢風險到使用模式和所有權數據的上下文，令牌MCP可以優先考慮對機器身份風險的優先級，從雲到本地。

* Smarter remediation: Token MCP provides precise, customer-specific remediation guidance, including CLI commands, scripts, and explanations tailored to each environment, empowering teams to resolve issues faster and more confidently.

*智能補救措施：令牌MCP提供了精確的，特定於客戶的補救指南，包括針對每個環境量身定制的CLI命令，腳本和解釋，授權團隊以更快，更自信地解決問題。

Designed for the tools security teams already use

為工具安全團隊設計的已經使用

Token MCP integrates seamlessly with leading AI chat platforms, such as Claude, ChatGPT, and Gemini. Security teams can interact with their data from the tools they already rely on and trust, without needing to learn new languages or sift through complex dashboards.

令牌MCP與領先的AI聊天平台（例如Claude，Chatgpt和Gemini）無縫集成。安全團隊可以從他們已經依賴和信任的工具中與他們的數據進行交互，而無需通過複雜的儀表板學習新語言或篩選。

In early customer deployments, Token MCP has demonstrated value across key use cases:

在早期的客戶部署中，令牌MCP在關鍵用例中顯示出價值：

* Quickly identify and prioritize the riskiest service identities and factor in the rationale.

*快速識別並確定最風險的服務身份和因素中的因素。

* Provide a step-by-step plan to mitigate a compromised instance with customer-specific commands and scripts.

*提供一個分步計劃，以減輕特定於客戶的命令和腳本的折衷實例。

* Grant permission to specific identities to access resources using natural language requests.

*授予特定身份的權限，可以使用自然語言請求訪問資源。

* Generate code to rotate credentials for vulnerable identities.

*生成代碼以旋轉脆弱身份的憑據。

These capabilities reduce investigation time, accelerate response, and make complex identity challenges approachable.

這些功能降低了調查時間，加速了響應，並使復雜的身份挑戰易於實現。