InfoQ Homepage News
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Open Payment Standard x402 Expands Capabilities in Major Upgrade
After six months of real-world usage, the open payment standard x402 has received a major update, extending the protocol beyond single-request, exact-amount payments. The release adds support for wallet-based identity, automatic API discovery, dynamic payment recipients, expanded multi-chain and fiat support via CAIP standards, and a fully modular SDK for custom networks and payment schemes.
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European Initiative for Data Sovereignty Released a Trust Framework
The Danube release of the Gaia-X trust framework provides mechanisms for the automation of compliance and supports interoperability across sectors and geographies to ensure trusted data transactions and service interactions. The Gaia-X Summit 2025 hosted facilitated discussions on AI and data sovereignty, and presented data space solutions that support innovation across Europe and beyond.
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AWS Launches European Sovereign Cloud amid Questions about U.S. Legal Jurisdiction
AWS has launched its European Sovereign Cloud with a €7.8 billion investment, designed to meet EU regulatory demands and address data privacy concerns amid geopolitical tensions. Despite its operational separation from global regions, questions linger about legal protections against U.S. data access. Competitors like Microsoft and local providers may present stronger sovereignty options.
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How CyberArk Protects AI Agents with Instruction Detectors and History-Aware Validation
To prevent agents from obeying malicious instructions hidden in external data, all text entering an agent's context must be treated as untrusted, says Niv Rabin, principal software architect at AI-security firm CyberArk. His team developed an approach based on instruction detection and history-aware validation to protect against both malicious input data and context-history poisoning.
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Anthropic Announces Claude CoWork
Introducing Claude Cowork: Anthropic's groundbreaking AI agent revolutionizing file management on macOS. With advanced automation capabilities, it enhances document processing, organizes files, and executes multi-step workflows. Users must be cautious of backup needs due to recent issues. Explore its potential for efficient office solutions while ensuring data integrity.
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Tracking and Controlling Data Flows at Scale in GenAI: Meta’s Privacy-Aware Infrastructure
Meta has revealed how it scales its Privacy-Aware Infrastructure (PAI) to support generative AI development while enforcing privacy across complex data flows. Using large-scale lineage tracking, PrivacyLib instrumentation, and runtime policy controls, the system enables consistent privacy enforcement for AI workloads like Meta AI glasses without introducing manual bottlenecks.
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MIT's Recursive Language Models Improve Performance on Long-Context Tasks
Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance on long-context tasks. RLMs use a programming environment to recursively decompose and process inputs, and can handle prompts up to 100x longer than base LLMs.
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Salesforce Migrates 1,000+ EKS Clusters to Karpenter to Improve Scaling Speed and Efficiency
Salesforce has completed a phased migration of more than 1,000 Amazon Elastic Kubernetes Service (EKS) clusters from the Kubernetes Cluster Autoscaler to Karpenter, AWS’s open-source node-provisioning and autoscaling solution.
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Prisma 7: Rust-Free Architecture and Performance Gains
Prisma ORM 7.0 has revolutionized the TypeScript-first ORM landscape with a Rust-free architecture, delivering 3x faster queries, 90% smaller bundles, and improved developer experience. With dynamic configurations and streamlined artifact management, Prisma enhances productivity while supporting major databases. Elevate your Node.js projects with cutting-edge performance and type safety.
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Google and Retail Leaders Launch Universal Commerce Protocol to Power Next‑Generation AI Shopping
Google launched the Universal Commerce Protocol (UCP), an open standard co-developed with Shopify, Target, and others, enabling AI-driven shopping agents to complete tasks end-to-end from product discovery to checkout and post-purchase management. UCP aims to standardize commerce capabilities, support multiple payment providers, and expand globally. Shaping the next generation of agentic commerce.
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Microsoft Releases Azure Functions Support for Model Context Protocol Servers
Microsoft has launched its Model Context Protocol (MCP) for Azure Functions, ensuring secure, standardized workflows for AI agents. With built-in OBO authentication and streamable HTTP transport, it addresses key security concerns. Now supporting multiple languages and self-hosting, MCP empowers developers to deploy with ease while safeguarding sensitive data.
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GitLab 18.8 Marks General Availability of the Duo Agent Platform
GitLab 18.8 brings a number of new features, including GitLab Duo Planner Agent, GitLab Duo Security Analyst Agent, auto-dismiss irrelevant vulnerabilities, and more. With this release, the GitLab Duo Agent Platform, enabling organizations to orchestrate AI agents, reaches general availability.
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Microsoft Open Sources XAML Studio, Reviving a Longstanding Prototyping Tool
Microsoft has officially open-sourced XAML Studio, a lightweight rapid prototyping tool for XAML-based UI development, under the .NET Foundation. The tool, originally released through the Microsoft Store as part of the Microsoft Garage initiative, now welcomes community contributions and collaboration via its GitHub repository.
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Pinterest's Moka: How Kubernetes Is Rewriting the Rules of Big Data Processing
Digital pinboard provider Pinterest has published an article explaining its blueprint for the future of large-scale data processing with its new platform Moka. The company is moving core workloads from ageing Hadoop infrastructure to a Kubernetes-based system on Amazon EKS, with Apache Spark as the main engine and support for other frameworks on the way.
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Docker’s Cagent Brings Deterministic Testing to AI Agents
Docker is positioning its Cagent runtime as a way to bring deterministic testing back to AI agents, addressing a growing problem for teams building production agentic systems.