今日已更新 35 条资讯 | 累计 37284 条内容
关于我们

标签:#AI Security

找到 26 篇相关文章

AI 资讯

Windows Platform Security and the Race to Secure AI Agents

In a new Windows Developer Blog post titled "Windows platform security for AI agents", Microsoft positions Windows as the trustworthy operating system for autonomous agents and introduces the Microsoft Execution Containers (MXC) SDK as the core of that strategy. The post argues that containment, identity and manageability must be built into the operating system. By Matt Saunders

2026-06-19 原文 →
AI 资讯

Athena Coalition Brings Coordinated Defence to Open Source Security

Cybersecurity firm Chainguard has announced the launch of Athena, an industry coalition to use artificial intelligence to find and fix vulnerabilities in widely-used open-source software before attackers can exploit them. The coalition focuses on libraries, containers and other components that underpin web browsers, data centres, smartphones and payment systems. By Matt Saunders

2026-06-18 原文 →
AI 资讯

Article: Governing AI in the Cloud: A Practical Guide for Architects

In this article, the author outlines a practical approach to AI governance in the cloud, covering discovery of shadow AI, data classification at creation, IAM-based enforcement, policy-as-code, and operational controls. The article shows how organizations can embed governance into delivery pipelines, balancing security, compliance, and developer productivity without relying on manual processes. By Dave Ward

2026-06-15 原文 →
AI 资讯

Run Untrusted AI Agent Code Safely with Azure Container Apps Sandboxes

Microsoft has announced the public preview of Azure Container Apps Sandboxes. This new ARM resource type is Microsoft.App/SandboxGroups, runs untrusted code generated by agents in hardware-isolated environments. Each sandbox starts from an OCI disk image in less than a second. It can scale to thousands of instances at once and costs nothing when idle. By Claudio Masolo

2026-06-12 原文 →
AI 资讯

Article: Artificial Intelligence-Driven Phishing: How Phishing Technique Is Evolving and Implemented

In this article, the author examines how AI is transforming phishing from a manual, targeted activity into an automated and scalable attack model. The article breaks down each stage of the phishing lifecycle, showing how AI improves reconnaissance, profiling, content generation, delivery, and interaction, while outlining layered defenses that combine controls, processes, and user awareness. By Marco Rizzi

2026-06-08 原文 →