令牌安全性，代理AI，网络安全指南：导航新边界

探索代理AI的不断发展的景观，并通过我们的全面网络安全指南学习如何保护您的系统。

Agentic AI is revolutionizing enterprise workflows, but it's also introducing new security challenges. Let's dive into the world of Token Security, Agentic AI, and how to navigate this new frontier with a robust cybersecurity guide.

Agesic AI正在彻底改变企业工作流程，但它也引入了新的安全挑战。让我们深入了解代币安全性，代理AI以及如何通过强大的网络安全指南来浏览这个新的边界。

The Rise of Agentic AI and the Need for Token Security

代理AI的兴起以及对令牌安全的需求

We're entering an era where AI doesn't just suggest; it acts. Agentic AI systems are now launching code, triggering workflows, making decisions, and even creating new identities. This means Non-Human Identities (NHIs) will soon dwarf human identities, making it crucial to prioritize security for these digital actors.

我们正在进入一个AI不仅建议的时代；它行动。代理AI系统现在正在启动代码，触发工作流程，做出决策，甚至创建新的身份。这意味着非人类身份（NHIS）很快将矮人的身份划分，这对于确定这些数字参与者的安全性至关重要。

Introducing the AI Security Guide

介绍AI安全指南

To address this growing need, Token Security and Descope, along with cybersecurity leaders, have released the AI Security Guide: A Maturity Model for Secure Agentic AI Adoption. This comprehensive framework helps organizations adopt agentic AI securely, responsibly, and at scale, while still fostering innovation.

为了满足这一日益增长的需求，令牌安全和下降以及网络安全领导者已发布了AI Security Guide：一种安全代理AI采用的成熟模型。这个综合框架可帮助组织安全，负责任地和大规模采用代理AI，同时仍在促进创新。

Key Components of the AI Security Guide

AI安全指南的关键组件

• IAM for Non-Human Identities (NHIs): Managing identities and access for AI agents.
• Policy-Based Controls: Implementing controls based on predefined policies.
• Continuous Governance: Ensuring ongoing oversight of both internal and third-party AI tools.

The Four-Phase Maturity Model

四相成熟模型

The AI Security Guide outlines a four-phase maturity model to help enterprises tackle the risks of AI autonomy, from initial experimentation to the secure deployment of autonomous agents across critical systems.

AI安全指南概述了一个四阶段的成熟度模型，以帮助企业应对AI自治的风险，从初始实验到在关键系统中自主代理的安全部署。

Agentic AI: More Than Just Technology

代理AI：不仅仅是技术

Agentic AI is redefining how systems behave, make decisions, and interact autonomously. It's crucial to have a playbook to avoid a future shaped by invisible AI actors, untraceable actions, and preventable failures.

代理AI正在重新定义系统的行为，做出决策和自主互动的方式。拥有一本剧本以避免由无形的AI演员，不可追踪的动作和可预防的失败塑造的未来至关重要。

The GLM-4.5 Series: A Leap in Open-Source Agentic AI

GLM-4.4系列：开源代理AI的飞跃

The arrival of Z.ai’s GLM-4.5 series (GLM-4.5 and GLM-4.5-Air) marks a significant milestone in AI foundation models. These models set high standards for unified agentic capabilities and open access, bridging the gap between reasoning, coding, and intelligent agents.

Z.AI的GLM-4.5系列（GLM-4.5和GLM-4.5-Air）的到来标志着AI基础模型的重要里程碑。这些模型为统一的代理能力和开放访问设定了高标准，弥合了推理，编码和智能代理之间的差距。

Key Features of GLM-4.5

GLM-4.5的主要特征

• Hybrid Reasoning: Combines sophisticated cognitive workflows with low-latency interactive needs.
• Agent-Native Design: Core agentic functionalities (reasoning, planning, action execution) are built directly into the model architecture.
• Open-Source Access: Released under the MIT license for unrestricted commercial use and secondary development.

Why This Matters

为什么这很重要

The GLM-4.5 series represents a major leap for open-source, agentic, and reasoning-focused foundation models. They set new standards for accessibility, performance, and unified cognitive capabilities, providing a robust backbone for the next generation of intelligent agents and developer applications.

GLM-4.5系列代表了开源，代理和以推理为重点的基础模型的重大飞跃。他们为可访问性，性能和统一的认知能力设定了新的标准，为下一代智能代理和开发人员应用提供了强大的骨干。

Final Thoughts

最后的想法

Securing Agentic AI is not just about technology; it's about building a future where AI enhances our capabilities responsibly. From the AI Security Guide to the GLM-4.5 series, the tools and frameworks are emerging to help us navigate this new frontier. Stay curious, keep learning, and let's build a safer, smarter world together!

确保代理AI不仅与技术有关；这是关于建立AI负责任地增强我们能力的未来。从AI安全指南到GLM-4.5系列，工具和框架正在出现，以帮助我们浏览这个新的边界。保持好奇，继续学习，让我们一起建立一个更安全，更聪明的世界！