InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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Microsoft Moves AI Governance from Policy to Runtime Enforcement
Microsoft has outlined an AI governance architecture spanning nine governance domains and four functions: policy, control, visibility, and proof. The approach connects policies with runtime enforcement, continuous evaluation, observability, identity, security, and audit evidence to help organizations verify governance requirements as AI applications and agents operate in production.
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Cloudflare OS: Cloudflare's Open-Source Corporate AI Platform Built on a Capability-Based Model
Cloudflare recently open-sourced Cloudflare OS. It allows enterprise teams to output work artifacts grounded in enterprise knowledge, know-how, and provisioned connectors, automate repetitive workflows with optimized token cost (with AI assistance only where needed), and build personal, shareable, customizable work software that caters to specific, complex use cases within a secure sandboxed model
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Google's HEIR Aims to Make Homomorphic-Encrypted Inference a One-Click Capability
Google is introducing HEIR (Homomorphic Encryption Intermediate Representation), an open-source compiler and development toolchain designed to make encrypted computation easier to deploy. In particular, HEIR can compile pre-trained AI models built for conventional, unencrypted inputs so they can instead operate on encrypted data.
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Cloudflare Announces Kitesurf, a Browser Engine for Agents
Cloudflare recently introduced Kitesurf, a lightweight browser built for automated workloads. Kitesurf runs browser components in isolated WebAssembly/Rust environments on Cloudflare Workers and supports the Chrome DevTools Protocol, allowing tools such as Playwright and Puppeteer to drive it with lower resource overhead than a full Chromium browser.
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AI Code Review at Scale: LinkedIn's Multi-Agent Approach
At LinkedIn's scale, relying solely on human reviewers or simply putting an off-the-shelf AI reviewer in front of GitHub is not an effective way to manage PRs. To address this, LinkedIn engineers built a multi-agent AI code review platform that understands the organization's coding context, treats code review as production infrastructure, and minimizes hallucinations and low-signal feedback.
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Cloudflare Cuts Astro GitHub Issues by 85% with AI Agents
Cloudflare, Astro, AI agents, GitHub Actions, issue triage, agentic AI, software architecture, open source, developer tools, AI automation, automated testing, human in the loop, agent workflows, GitHub, software engineering, AI software development, bug triage, continuous integration, developer productivity, autonomous agents, AI coding, Cloudflare Workers, Flue, triagebot
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Cloudflare Turns Engineering Standards into an AI-Enforced Control System
Cloudflare has recently detailed how it is using AI to transform internal engineering standards from passive documentation into an actively enforced control system across the software development lifecycle.
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Azure DevOps Remote MCP Server Reaches GA, without Support for Claude, ChatGPT, or Cursor
Microsoft has made the Azure DevOps Remote MCP Server generally available, offering a hosted endpoint into work items, repos, and pipelines with nothing to install. Claude Desktop, Claude Code, ChatGPT, and Cursor cannot connect yet because Entra lacks support for dynamic client registration and Client ID Metadata Documents.
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InfoQ Opens Enrollment for New AI-Assisted Engineering Online Certification Program
InfoQ has opened enrollment for the InfoQ Certified AI-Assisted Engineering Program, a five-week online certification program for senior engineers and architects who already run a coding agent against production code daily, where the open questions have moved past prompting into what the agent is allowed to touch and what catches its mistakes before a human does.
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Harper Argues against the Multi-System Stack and Releases 5.2
The database platform Harper advocates for a single-runtime architecture that keeps application code and data together, with its benchmark against a Vercel-based stack reporting significantly better performance on live, personalized-data workloads. Harper recently released version 5.2, with a new record cache and more throughput per node.
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The Open-Sourcing of DeepSeek Harness Opens the Door to Modular, Unbundled AI Agent Infrastructure
DeepSeek has released a developer preview of DeepSeek Harness (dsh), an open-source execution runtime for building autonomous AI agents. The software features a micro-kernel architecture with modular plugins for various functional units. The release includes an append-only event logging system for tracking execution activities. Adoption may depend on plugin ecosystem stability and API maintenance.
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Whatsapp Tests on Device ML for Scam Detection with Privacy Preserving Analytics
WhatsApp is testing Scam Alert in limited beta, using on device machine learning to detect potential scam messages from non contacts. Meta's architecture keeps message content on the device while using confidential computing, Oblivious HTTP, differential privacy, and model transparency to measure performance and protect model delivery.
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Cloudflare WriteGuard Brings Fine-Grained Security Controls for MCP Servers
Cloudflare is introducing WriteGuard, now in private beta, to provide fine-grained security controls for MCP (Model Context Protocol) servers. It aims to make AI agents safer by controlling their access to tools that can modify data or perform actions, rather than simply read information.
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Netflix Open-Sources Agentic Workflow for Causal Inference
Netflix open-sourced an agentic workflow for Observational Causal Inference (OCI) that reduces toil in causal analysis. Given observational data and the human user's analysis plan, the agent uses an actor-critic loop to estimate causality, write a report, and suggest next steps.
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Major Frontier Model Providers Adopt Watermarking Tech to Comply with EU Regulation
As of August 2, 2026, the EU AI Act Article 50 requires AI systems to mark synthetic outputs in a machine-detectable manner. Major vendors are implementing statistical watermarking methods, which influence natural language generation without affecting performance. This has prompted a swift reaction from the open-source community, raising compliance and vulnerability concerns.