AI’s most important protocol is getting a little bit easier to use
Under the new system, the protocol will take a looser, "stateless" approach to session IDs on the server side, similar to how most ordinary websites already work.
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Under the new system, the protocol will take a looser, "stateless" approach to session IDs on the server side, similar to how most ordinary websites already work.
Why 2026 is the year of AI interoperability, not just bigger language modelsContinue reading on Medium »
Most protocol diagrams put Model Context Protocol (MCP), Agent2Agent (A2A) protocol, and Agent Communication Protocol (ACP) in three equal columns. I think that framing causes hal...
The Challenge of the ReAct Loop (East-West Traffic) A ReAct loop is essentially an AI agent breaking down a complex problem by continuously "thinking" (reasoning) and "doing" (ac...
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Every major agent framework now has a story for multi-agent systems. Most of them are incompatible with each other. An agent built in AutoGen cannot natively receive a task from a...
The AIHA launched eight expert committees covering AI architecture, governance, data standards, and agentic protocols, with outputs published as open-source resources for the hospi...
International Artificial Intelligence Authority (IAIA)Foundational Charter – Part I: Core Policy FrameworkStatus: Draft for Global Policy Consideration---PREAMBLE: THE GEOPOLITICS...
Most API security programs were built for predictable consumers: mobile apps, backend services, partner integrations, and the occasional script. Each of those calls your APIs in fa...
Plus, a new policy for the AI protocol ensures features aren't removed suddenly.
As 2025 was the year GenAI took hold in RegTech solutions, 2026 is seeing the rise of AI agent adoption raising the upside for compliance automation and creating new risk surfaces....
Independent agencies have no shortage of AI-powered solutions to choose from. Tools that can reduce manual work, improve speed, and support better decision-making are everywhere in...
Overwhelmed by agentic web acronyms? Map each protocol to the problem it solves before deciding which ones deserve your attention. The post AI Agent Standards: What Do We Need To K...
Scan your internal subnets for ports 7860, 3000, and 5678. If you find anything listening on these ports, you may have unmanaged AI infrastructure worth investigating immediately....
Written by: Jules Czarniak Introduction As highlighted in the Mandiant M-Trends 2026 report, the mean time-to-exploit (TTE) has dropped to -7 days, meaning vulnerabilities are of...
Agentic AI systems represent a paradigm shift in network operations, facilitating the transition from traditional reactive monitoring to fully autonomous management frameworks. For...
TL;DR: The AI Working Agreement Your team already has rules for using AI. Some live in templates, some in habits, exceptions, and one person’s memory. The AI Working Agreement puts...
Learn how to make your AI agents to discover each other and communicate efficiently using A2A and SpringAI. The post Exploring Agent2Agent Protocol (A2A) With Spring AI first appe...
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Presented by Tata Communications Continuous inference, agent-to-agent communication, and real-time data pipelines are generating unpredictable, always-on traffic that legacy archit...
Build multi-agent AI systems that scale. Get the architectures, top 2026 frameworks, MCP/A2A protocols, failure modes, and how to test before production.
An applied framework for designing AI interfaces that support appropriate reliance, user control, transparency, and responsible autonomy.Traditional interfaces are built around pre...
How agents discover tools, call services, and coordinate across systems is now standardizing. If you're building infrastructure that agents will use, it helps to know how the Model...
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