The Model Context Protocol (MCP) is an open-source standard for connecting AI agents to external resources such as database systems. MCP extensions are modular, optional additions to the Model Context Protocol that enable specialized capabilities without modifying the core specification. These extensions support features like interactive user interfaces, custom authentication flows, and industry-specific functionality while maintaining compatibility with the base protocol.

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Seven protocols have emerged to standardize communication between AI agents, models, and external systems: Anthropic Model Context Protocol (MCP), Google Agent2Agent (A2A), Google Agent Gateway Protocol (AGP), Cisco AGNTCY, IBM Agent Communication Protocol (ACP), and Zed Agent Client Protocol (AGP). This article provides an overview of these AI protocols and compares their use cases.

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Microsoft Agent 365 is the control plane for AI agents in the enterprise: a set of capabilities built on Microsoft Entra, Purview, Defender XDR, and the Microsoft 365 Admin Center that gives IT and security teams a single location to observe, govern, manage, and secure AI agents — regardless of whether they were built with Microsoft tooling, open-source frameworks, or third-party platforms.

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Microsoft announced Wave 3 of Microsoft 365 Copilot, introducing Copilot Cowork as a new AI-driven work mode that executes multi-step tasks across Office applications. However, Copilot Cowork is a double misnomer because the tool qualifies as neither a copilot nor a coworker.

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Microsoft has completed the global rollout of AI workflow templates in the Teams Workflows app, powered by Microsoft 365 Copilot, as of mid-February 2026 (Roadmap ID 500379). The feature introduces scheduled prompts — recurring, AI-driven automations that run without manual intervention. You can use pre-built templates to automate tasks such as weekly project summaries or data monitoring across the Microsoft 365 ecosystem. The feature is restricted to users with a Microsoft 365 Copilot license and is currently available only in Teams for Web and Teams for Mac.

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Autonomous AI agents can perform complex tasks without human intervention, but face a critical challenge: how can they trust agents from other organizations? ERC-8004, developed by teams from the Ethereum Foundation, Google, Coinbase, and MetaMask, addresses this by providing a decentralized identity, reputation, and verification system for AI agents. Launched on Ethereum mainnet on January 29, 2026, the standard enables agents to discover reliable service providers and verify past performance. Over 20,000 AI agents were deployed across multiple blockchains within the first two weeks.

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ChatGPT Lockdown Mode is an advanced security setting designed to protect organizations against prompt-injection-based data exfiltration attacks. Introduced by OpenAI in February 2026, you can enable this optional feature through workspace settings if you manage enterprise ChatGPT accounts.

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WebMCP is a proposed web standard that enables websites to expose structured, callable tools directly to AI agents through a new browser API. Developed jointly by engineers at Google and Microsoft and incubated through the W3C's Web Machine Learning Community Group, WebMCP allows you to wrap your existing client-side JavaScript logic into agent-readable tools without re-architecting your web pages. Instead of AI agents relying on screen scraping or DOM manipulation to interact with websites, WebMCP provides a standardized way for agents to discover and invoke specific functions with defined schemas, ensuring more reliable and precise interactions.

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Anthropic announced on February 12, 2026, that Claude Enterprise is now available for direct self-serve purchase on its website, eliminating the need for sales conversations. Organizations can set up their workspace, configure single sign-on, and begin inviting team members within minutes.

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Visual Studio Code version 1.109 introduces agent orchestrations — a feature that transforms the IDE into a multi-agent development platform. You can now create custom agents that collaborate, delegate tasks to specialized subagents, and execute complex workflows autonomously. This article explains the concept and demonstrates agent orchestration with a simple example. I'll also share my opinion on Microsoft's concept of agent orchestrations. It's not particularly favorable.

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OpenClaw, previously known as Clawdbot and briefly as Moltbot, is a free, open‑source personal AI agent that runs locally on your computer, enabling you to automate any task a human can perform on a computer. It gained rapid popularity, accumulating 100,000 GitHub stars in record time, along with tens of thousands of forks as it went viral. OpenClaw skills pose severe security risks because they are unvetted modules that may contain hidden, malicious instructions for the agent's model. These harmful instructions could result in API key leaks, data theft, credential compromise, and system breaches due to malicious code execution. This guide covers OpenClaw skill structure, known security incidents, and step-by-step instructions for scanning agent skills with the Cisco AI Skill Scanner. The Cisco AI Skill Scanner provides comprehensive security analysis of OpenClaw agent skills before installation, detecting malware, data exfiltration, and prompt-injection vulnerabilities.

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Microsoft released version 1.2.0 of the Microsoft Entra PowerShell module, introducing production-ready support for Agent Identity Blueprints, enhanced application configuration parameters, and modernized invitation APIs. This update consolidates Agent Identity functionality into the main module and delivers new cmdlets for automated identity management across Microsoft Entra ID environments.

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Microsoft Copilot Studio is a low-code platform that lets you build, customize, and manage AI agents without extensive programming knowledge. The platform provides a graphical interface for creating intelligent agents in natural language that handle conversations and automate tasks across Microsoft Teams, Microsoft 365 Copilot, websites, mobile apps, and third-party platforms such as Facebook or Slack. To ground agents, you can integrate your organization's data sources. Recent updates have introduced enhanced AI models, improved authoring experiences, and new governance capabilities, making the platform more accessible and secure.

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In an interview, Anthropic's Daniela Amodei suggested that AI deployments "might hit a wall because of human reasons." This post summarizes my views on the new Human Wall, based on my more detailed discussion of the interview in which Anthropic's president also touches on the outdated AGI concept, the discontinuation of exponentials, and the AI bubble.

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This is a reality check regarding Geoffrey Hinton's recent alarming warnings about AI advancing faster than expected. Having used all frontier models extensively in my daily work, I believe his worries are misplaced, mainly because he overvalues LLMs' abilities. The supposed exponential AI advancement we were promised simply hasn't materialized. Below, I summarize the key points of a longer article. You can read the entire article here: Hinton’s AI Progress Illusion: An IT Reality Check.

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The Microsoft Security Copilot Dynamic Threat Detection Agent is an AI-powered backend service that automatically detects hidden threats in Microsoft Defender XDR and Microsoft Sentinel environments. Announced at Microsoft Ignite 2025 and now available in public preview, this always-on agent uses artificial intelligence to identify security gaps that traditional rule-based detection systems miss.

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Microsoft released Windows 11 Insider Preview Build 26220.7523 (KB5072043) to the Dev and Beta Channels on December 19, 2025. This update for version 25H2 introduces Ask Copilot as an opt-in feature that complements traditional Windows Search on the taskbar, introduces system-wide AI agent infrastructure, and delivers improvements to accessibility, File Explorer, and core system components.

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Microsoft has introduced Windows 365 AI-enabled Cloud PCs, a new cloud-based computing solution that delivers AI-powered Windows experiences to any device. This offering differs significantly from Copilot+ PCs, which are physical computers with specialized AI hardware. This article compares the technical specifications, requirements, and capabilities of both platforms.

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Microsoft released Visual Studio Code version 1.107 with new features focused on Agent HQ, a multi-agent orchestration interface introduced in version 1.106. In version 1.107, background agents are promoted beyond pure CLI-based sessions: they run as named background tasks with isolated worktrees and richer context attachment, and appear as manageable sessions in the Agent HQ experience (the integrated Chat + sessions UI), rather than existing only as Copilot CLI or cloud sessions.

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