Data and AI releases

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Browser Run - Kitesurf is now open source

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Kitesurf ↗︎ , Cloudflare's browser engine for AI agents, is now open source on GitHub ↗︎ under the Apache 2.0 license. You can inspect the source, run it locally, and deploy your own instance to your Cloudflare account. Kitesurf runs entirely on Cloudflare Workers.

AI agentsPricingDeveloper toolsPerformance

Also shipped Nov 12, 2026Cloudflare in November 2026 →

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AI Search, D1 - AI Search supports D1 databases as a data source (beta)

AI Search can now use a D1 database as a data source. AI Search runs a read-only query that you provide and indexes each returned row as a separate document. Scheduled syncs keep the index current as rows are added, changed, or removed. Create D1-backed instances from the dashboard, the REST API, or the Workers binding.

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D1 - Export D1 databases with virtual tables

You can now export a D1 database that contains virtual tables, such as full-text search tables using SQLite's FTS5 module ↗︎ or spatial index tables using the R*Tree module. Previously, export failed for any database containing virtual tables. To include virtual tables in the dump, set dump_options.compatibility to sqlite3_cli_only on the D1 export API .

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Rules - New hash functions , sha1(), md5(), and sha512()

Cloudflare Rules supports three new hash functions: sha1() , md5() , and sha512() . Use them to compute hashes for systems that require these algorithms. Like the existing sha256() function, each accepts a string or byte array and returns raw bytes: Function Algorithm Output length md5() MD5 16 bytes sha1() SHA-1 20 bytes sha512() SHA-512 64 bytes For...

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WAF - Manage AI Security for Apps with Terraform

You can now manage AI Security for Apps with Terraform. Version 5.29.0 of the Terraform Cloudflare provider adds two resources: cloudflare_ai_security ↗︎ : Turns AI Security for Apps on or off for a zone. cloudflare_ai_security_custom_topics ↗︎ : Defines the custom topics that AI Security for Apps scores each prompt against.

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Workers AI - EmbeddingGemma 2 now available on Workers AI

@cf/google/embeddinggemma-2 is now available on Workers AI. EmbeddingGemma 2 is an open multimodal embedding model from Google DeepMind. It maps text (including code), images, video, and audio into a single 768-dimensional vector space, so you can search a mixed collection of products, documents, and media with one text query.

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