Releasesby GlyphAI Gateway - Track AI spend and catch anomalous usage with User Insights
AI Gateway now includes User Insights, a dashboard that gives you two things at once: clear visibility into how much your organization spends on AI, and a security signal that surfaces users whose usage suddenly looks abnormal. It works on the traffic already flowing through your gateway, so there is no additional setup.
Also shipped Aug 5, 2026Cloudflare in August 2026 →
Openflow Connector for SQL Server (CDC) (General availability)
The Openflow Connector for SQL Server (CDC) is now generally available. The connector captures every row-level change from Microsoft SQL Server using Change Data Capture (CDC) and replicates selected tables into Snowflake in near real-time or on a schedule. It supports initial snapshot load, incremental sync, and schema evolution.
REPLACE USING flows for pipelines (Beta)
REPLACE USING flows are now available in Lakeflow pipelines in Beta . Use a REPLACE USING flow when your source is a series of partial snapshots keyed by column. On each update, the flow replaces all rows that match the specified key columns and leaves all other rows unchanged.
The Table Visualization Improvements feature is now generally available
The Table Visualization Improvements feature is now generally available. You can now use the following features for table visualizations : Pagination Show/Hide Table Headers Table Borders Cell Highlighting Conditional formatting for string fields
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AI Gateway, Access - Identity-aware controls are now available in AI Gateway
AI Gateway now integrates with Cloudflare Access, giving you two new capabilities: Protect your gateway endpoint. Put your AI Gateway behind Access so you can set policies that control who is allowed to call a specific gateway's endpoint. Identity-aware controls.
Cloudflare Fundamentals - Improved publisher verification details on OAuth consent screens
OAuth consent screens now display a shield icon with explanatory text beneath the consent screen title. Each shield icon indicates who owns the application and whether its domain ownership is verified. Green filled shield : Cloudflare owns and manages the application. Blue outlined shield : A third-party application with verified ownership of its domain.
AI Search makes it easier to build a search engine for your data
AI Search gets you from a data source to a working search endpoint quickly. This release adds what you need to put that endpoint in front of real users: your own domain, authentication, and one endpoint across several instances. It also adds crawling for sites without a complete sitemap, so your index covers everything you want it to find.
Browser Run - Introducing Kitesurf, an agent-first browser on Browser Run
Kitesurf is Cloudflare's new stateless, highly scalable browser that runs entirely on top of Workers and is designed for AI agents. It is available for free while in beta.
Agents, Workers - Agent traces for Think, Flue, and AI SDK instrumented by Agents SDK
Agent tracing is now available for applications built with the Agents SDK. Traces show each agent turn alongside model calls, tool runs, approvals, token usage, and Workers runtime operations.
Artifacts, Workflows - Build and deploy Artifacts repos on every push
You can now run your CI/CD pipeline on your Artifacts repo by defining a CI Workflow with the CI SDK ↗ , automatically triggered on Artifacts push events. This allows you to: Automatically build and deploy application code stored in Artifacts. Run linting, type checking, tests, and other checks on every push. Reuse dependencies when the lockfile (i.e.
Cloudflare Fundamentals - Create Free accounts from the dashboard
You can now create standalone Free accounts directly from the Cloudflare dashboard using the new Create Account button. This feature is currently available to all users. When creating a Free account: You can create up to 5 Free accounts . Your user account must have at least 7 days of tenure to be eligible.
Vectorize indexes now support up to 20 million vectors
You can now store up to 20 million vectors in a single Vectorize index, doubling the previous limit of 10 million vectors. This enables larger-scale semantic search, recommendation systems, and retrieval-augmented generation (RAG) applications without splitting data across multiple indexes.