The Linux Foundation vs Ubuntu

Open Secure AI Alliance Joins the Linux Foundation to Build a Shared, Open Defense Stack for the AI Era

Originally founded by dozens of enterprise leaders and NVIDIA, the Alliance moves to neutral governance to expand industry collaboration on open AI security tools, research and shared defenses.

Open Secure AI Alliance Joins Linux Foundation for Open Defense Stack

The Open Secure AI Alliance, originally founded by NVIDIA and other enterprise leaders, has officially joined the Linux Foundation to establish a neutral governance home for developing open, shared defenses for AI systems. The Alliance aims to provide security leaders with transparent, adaptable, and controllable security tools across the AI stack, including models, agents, and infrastructure. A key initiative is the Shared AI Findings Exchange (SAFE), which will confidentially collect and analyze AI security incidents to enable collective learning and evidence-based controls. The move is expected to foster collaboration between AI, cybersecurity, and open source communities, enhancing the security posture of AI adoption across industries.

• The Open Secure AI Alliance has joined the Linux Foundation, gaining neutral governance.
• The Alliance was originally founded by NVIDIA in collaboration with members including the Linux Foundation.
• A core initiative, the Shared AI Findings Exchange (SAFE), is open for comments until September 21.

Context Passing in Multi-Agent AI Systems

Engineering teams face new challenges when capabilities are split across multiple independently deployed AI agents owned by different teams. Microsoft’s Industry Solutions Engineering (ISE) team published a case study describing three evaluated approaches for sharing conversational context across agents: (1) domain agents reading shared storage, (2) making domain agents stateful, and (3) embedding summarized conversation history in each message payload. Microsoft adopted the third approach, sending summarised history inside messages and applying a 10-turn summarisation threshold to balance fidelity and performance. The post contrasts the Model Context Protocol (MCP), which standardises agent-tool connections, with Agent2Agent (A2A), an open peer-to-peer agent communication protocol originally developed by Google and now stewarded via the Linux Foundation. The article highlights governance, security, auditability, and operational benefits of keeping domain agents stateless.

• Microsoft Industry Solutions Engineering (ISE) published a detailed account of how it addressed context passing in a multi-agent engagement.
• Agent2Agent (A2A) is an open agent communication protocol originally developed by Google and now maintained by a cross-vendor technical steering committee at the Linux Foundation.
• Microsoft evaluated three approaches for sharing conversational context (shared storage, stateful domain agents, and embedding summarised history in message payloads) and adopted payload summarisation.

Arduino® VENTUNO™ Q is available for pre-order with Ubuntu pre-installed

Canonical and Arduino (a subsidiary of Qualcomm Technologies) announce that the Arduino VENTUNO Q is available for pre-order with Ubuntu pre-installed, following their initial collaboration announcement in March 2026.

Install Apache Kafka 4.2 on Ubuntu WSL2 (KRaft)

This technical guide explains how to install and run Apache Kafka 4.2 in KRaft (Kafka Raft Metadata) mode on Ubuntu 24.04 running under WSL2. It covers prerequisites (Java 11+), downloading and extracting Kafka, configuring server.properties for a single-node broker+controller, initializing KRaft metadata (generating a Cluster ID and running kafka-storage.sh format), starting the broker, creating/listing/describing topics, producing and consuming messages, and common administrative commands and troubleshooting. The author highlights the removal of ZooKeeper in favor of KRaft, the importance of the controller.quorum.voters setting, and the two-listener port model (9092 for clients, 9093 for internal controller communication).

• The guide installs Apache Kafka 4.2 on Ubuntu 24.04.4 LTS running in WSL2 using KRaft mode (no ZooKeeper).
• KRaft mode uses an internal Raft-based Controller to manage metadata; a unique Cluster ID must be generated and kafka-storage.sh format must be run once before starting the broker.
• Example server.properties for a single-node KRaft deployment includes process.roles=broker,controller; node.id=1; controller.quorum.voters=1@localhost:9093; and listeners for PLAINTEXT on 9092 and CONTROLLER on 9093.