Model Context Protocol (MCP) is quickly becoming the backbone of how AI agents interact with the outside world. It gives agents a standardized way to discover tools, trigger actions, and pull data. MCP dramatically simplifies integration work. In short, MCP servers act as the adapter that grants access to services, manages credentials and permissions, and..
Big Tech has spent the past year telling us we’re living in the era of AI agents, but most of what we’ve been promised is still theoretical. As companies race to turn fantasy into reality, they’ve developed a collection of tools to guide the development of generative AI. A cadre of major players in the AI race, including Anthropic, Block, and OpenAI, has come together to promote interoperability with the newly formed Agentic AI Foundation (AAIF). This move elevates a handful of popular technologies and could make them a de facto standard for AI development going forward.
The development path for agentic AI models is cloudy to say the least, but companies have invested so heavily in creating these systems that some tools have percolated to the surface. The AAIF, which is part of the nonprofit Linux Foundation, has been launched to govern the development of three key AI technologies: Model Context Protocol (MCP), goose, and AGENTS.md.
MCP is probably the most well-known of the trio, having been open-sourced by Anthropic a year ago. The goal of MCP is to link AI agents to data sources in a standardized way—Anthropic (and now the AAIF) is fond of calling MCP a “USB-C port for AI.” Rather than creating custom integrations for every different database or cloud storage platform, MCP allows developers to quickly and easily connect to any MCP-compliant server.
Palo Alto Networks Inc. announced Wednesday it will acquire Chronosphere, a next-generation observability platform designed for artificial intelligence (AI) workloads, in a $3.35 billion deal combining cash and replacement equity awards. The acquisition, pending regulatory approval, is expected to close in the second half of Palo Alto Networks’ fiscal 2026. The move represents the cybersecurity..
As LLMs, agents and Model Context Protocols (MCPs) reshape software architecture, API sprawl is creating major security blind spots. The 2025 GenAI Application Security Report reveals why continuous API discovery, testing and governance are now critical to protecting AI-driven applications from emerging semantic and prompt-based attacks.
AI agents are transforming governance and compliance from slow, manual processes into real-time, autonomous systems. By eliminating data silos, automating risk assessments, and enabling multi-modal collaboration, enterprises can achieve governance at Mach speed.
As AI agents become integral to cloud native applications, the Model Context Protocol (MCP) has emerged as a leading standard for enabling these agents to interact with external tools and data sources. But with this new architectural pattern comes a critical security challenge: MCP-based systems require protection at three distinct layers, not just one. The..
Palo Alto Networks unveils Prisma AIRS 2.0 and Cortex AgentiX to secure AI applications and automate cybersecurity workflows. With new AI-driven protection, no-code agent building, and integrated threat detection, the company aims to simplify and strengthen enterprise AI security operations.
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