Changelog

The last seen timestamp for Cloudflare One Client devices is now more consistent across the dashboard. IT teams will see more consistent information about the most recent client event between a device and Cloudflare's network.

Cloudflare has added new fields to multiple Logpush datasets:

The following Gateway and Zero Trust datasets now include a TenantID field:

• Gateway DNS: Identifies the tenant ID of the DNS request, if it exists.
• Gateway HTTP: Identifies the tenant ID of the HTTP request, if it exists.
• Gateway Network: Identifies the tenant ID of the network session, if it exists.
• Zero Trust Network Sessions: Identifies the tenant ID of the network session, if it exists.

The following datasets now include Firewall for AI fields:

• Firewall Events:

  • FirewallForAIInjectionScore: The score indicating the likelihood of a prompt injection attack in the request.
  • FirewallForAIPIICategories: List of PII categories detected in the request.
  • FirewallForAITokenCount: The number of tokens in the request.
  • FirewallForAIUnsafeTopicCategories: List of unsafe topic categories detected in the request.

• HTTP Requests:

  • FirewallForAIInjectionScore: The score indicating the likelihood of a prompt injection attack in the request.
  • FirewallForAIPIICategories: List of PII categories detected in the request.
  • FirewallForAITokenCount: The number of tokens in the request.
  • FirewallForAIUnsafeTopicCategories: List of unsafe topic categories detected in the request.

For the complete field definitions for each dataset, refer to Logpush datasets.

Privacy Proxy metrics are now queryable through Cloudflare's GraphQL Analytics API, the new default method for accessing Privacy Proxy observability data. All metrics are available through a single endpoint:

curl https://api.cloudflare.com/client/v4/graphql \
  --header "Authorization: Bearer <API_TOKEN>" \
  --header "Content-Type: application/json" \
  --data '{
    "query": "{ viewer { accounts(filter: { accountTag: $accountTag }) { privacyProxyRequestMetricsAdaptiveGroups(filter: { date_geq: $startDate, date_leq: $endDate }, limit: 10000, orderBy: [date_ASC]) { count dimensions { date } } } } }",
    "variables": {
      "accountTag": "<YOUR_ACCOUNT_TAG>",
      "startDate": "2026-04-04",
      "endDate": "2026-04-06"
    }
  }'

Four GraphQL nodes are now live, providing aggregate metrics across all key dimensions of your Privacy Proxy deployment:

• privacyProxyRequestMetricsAdaptiveGroups — Request volume, error rates, status codes, and proxy status breakdowns.
• privacyProxyIngressConnMetricsAdaptiveGroups — Client-to-proxy connection counts, bytes transferred, and latency percentiles.
• privacyProxyEgressConnMetricsAdaptiveGroups — Proxy-to-origin connection counts, bytes transferred, and latency percentiles.
• privacyProxyAuthMetricsAdaptiveGroups — Authentication attempt counts by method and result.

All nodes support filtering by time, data center (coloCode), and endpoint, with additional node-specific dimensions such as transport protocol and authentication method.

OpenTelemetry-based metrics export remains available. The GraphQL Analytics API is now the recommended default method — a plug-and-play method that requires no collector infrastructure, saving engineering overhead.

• GraphQL Analytics API for Privacy Proxy
• GraphQL Analytics API — getting started

This week's release introduces a new detection for a critical Remote Code Execution (RCE) vulnerability in Mesop (CVE-2026-33057), alongside protections for high-impact vulnerabilities in Cisco Secure Firewall Management Center (CVE-2026-20079) and FortiClient EMS (CVE-2026-21643). Additionally, this release includes an update to our existing React Server DoS coverage to address recently identified resource exhaustion vectors (CVE-2026-23869).

Key Findings

• Cisco Secure FMC (CVE-2026-20079): A vulnerability in the web-based management interface of Cisco Secure Firewall Management Center (FMC) that allows an unauthenticated, remote attacker to execute arbitrary commands or bypass security filters.

• FortiClient EMS (CVE-2026-21643): A critical vulnerability in the FortiClient EMS permitting unauthorized access or administrative configuration manipulation via crafted HTTP requests.

• Mesop (CVE-2026-33057): A vulnerability in the Mesop Python-based UI framework where unauthenticated attackers can execute arbitrary code by sending specially crafted, Base64-encoded payloads in the request body.

Impact

Successful exploitation of these vulnerabilities could allow unauthenticated attackers to execute arbitrary code, gain administrative control over network management infrastructure, or trigger server-side resource exhaustion. Administrators are strongly encouraged to apply official vendor updates.

Account-level DLP settings are now available in Cloudflare One. You can now configure advanced DLP settings at the account level, including OCR, AI context analysis, and payload masking. This provides consistent enforcement across all DLP profiles and simplifies configuration management.

Key changes:

• Consistent enforcement: Settings configured at the account level apply to all DLP profiles
• Simplified migration: Settings enabled on any profile are automatically migrated to account level
• Deprecation notice: Profile-level advanced settings will be deprecated in a future release

Migration details:

During the migration period, if a setting is enabled on any profile, it will automatically be enabled at the account level. This means profiles that previously had a setting disabled may now have it enabled if another profile in the account had it enabled.

Settings are evaluated using OR logic - a setting is enabled if it is turned on at either the account level or the profile level. However, profile-level settings cannot be enabled when the account-level setting is off.

For more details, refer to the DLP settings documentation.

Browser Rendering now supports wrangler browser commands, letting you create, manage, and view browser sessions directly from your terminal, streamlining your workflow. Since Wrangler handles authentication, you do not need to pass API tokens in your commands.

The following commands are available:

The create command spins up a browser instance on Cloudflare's network and returns a session URL. Once created, you can connect to the session using any CDP-compatible client like Puppeteer, Playwright, or MCP clients to automate browsing, scrape content, or debug remotely.

wrangler browser create

Use --keepAlive to set the session keep-alive duration (60-600 seconds):

wrangler browser create --keepAlive 300

The view command auto-selects when only one session exists, or prompts for selection when multiple sessions are available.

All commands support --json for structured output, and because these are CLI commands, you can incorporate them into scripts to automate session management.

For full usage details, refer to the Wrangler commands documentation.

Cloudflare Mesh is now available (blog post ↗). Mesh connects your services and devices with post-quantum encrypted networking, allowing you to route traffic privately between servers, laptops, and phones over TCP, UDP, and ICMP.

• Assigns a private Mesh IP to every enrolled device and node.
• Enables any participant to reach any other participant by IP — including client-to-client, without deploying any infrastructure.
• Supports CIDR routes for subnet routing through Mesh nodes.
• Supports high availability with active-passive replicas for nodes with routes.
• All traffic flows through Cloudflare, so Gateway network policies, device posture checks, and access rules apply to every connection.

• WARP Connector is now Cloudflare Mesh. Existing WARP Connectors are now called mesh nodes. All existing deployments continue to work — no migration required.
• Peer-to-peer connectivity is now called Mesh connectivity and is part of the Cloudflare Mesh documentation.
• Mesh node limit increased from 10 to 50 per account.
• New dashboard experience ↗ at Networking > Mesh with an interactive network map, node management, route configuration, diagnostics, and a setup wizard.

Refer to the Cloudflare Mesh documentation to set up your first Mesh network.

The Credentials and Secrets DLP profile now includes three new predefined entries for detecting Cloudflare API credentials:

These detections target the new Cloudflare API credential format, which uses a structured prefix and a CRC32 checksum suffix. The identifiable prefix makes it possible to detect leaked credentials with high confidence and low false positive rates — no surrounding context such as Authorization: Bearer headers is required.

Credentials generated before this format change will not be matched by these entries.

1. In the Cloudflare dashboard ↗, go to Zero Trust > DLP > DLP Profiles.
2. Select the Credentials and Secrets profile.
3. Turn on one or more of the new Cloudflare API token entries.
4. Use the profile in a Gateway HTTP policy to log or block traffic containing these credentials.

Example policy:

You can also enable individual entries to scope detection to specific credential types — for example, enabling Account Owned API Token detection without enabling User API Key detection.

For more information, refer to predefined DLP profiles.

You can now configure how sensitive data matches are displayed in your DLP payload match logs — giving your incident response team the context they need to validate alerts without compromising your security posture.

To get started, go to the Cloudflare dashboard ↗, select Zero Trust > Data loss prevention > DLP settings and find the Payload log masking card.

Previously, all DLP payload logs used a single masking mode that obscured matched data entirely and hid the original character count, making it difficult to distinguish true positives from false positives. This update introduces three options:

• Full Mask (default): Masks the match while preserving character count and visual formatting (for example, ***-**-**** for a Social Security Number). This is an improvement over the previous default, which did not preserve character count.
• Partial Mask: Reveals 25% of the matched content while masking the remainder (for example, ***-**-6789).
• Clear Text: Stores the full, unmasked violation for deep investigation (for example, 123-45-6789).

Important: The masking level you select is applied at detection time, before the payload is encrypted. This means the chosen format is what your team will see after decrypting the log with your private key — the existing encryption workflow is unchanged.

Applies to all enabled detections: When a masking level other than Full Mask is selected, it applies to all sensitive data matches found within a payload window — not just the match that triggered the policy. Any data matched by your enabled DLP detection entries will be masked at the selected level.

For more information, refer to DLP logging options.

OAuth allows third-party applications to access your Cloudflare account on your behalf — like when Wrangler deploys Workers or when monitoring tools read your analytics. You now have granular control over which accounts these applications can access, plus the ability to revoke access anytime.

When authorizing an OAuth application, you can now select specific accounts instead of granting access to all your accounts:

• Account-by-account selection — Choose exactly which accounts the application can access
• "All accounts" option — Still available for trusted tools like Wrangler This gives you precise control who can access your data.

The OAuth consent screen now shows:

• What the application can access — Explicit list of permissions being requested
• Who created the application — Application owner and contact information
• Which accounts you're authorizing — Checkboxes for account selection

Manage authorized OAuth applications from your profile:

• See all connected apps — View every OAuth application with access to your accounts
• Review permissions and scope — Check what each application can do and which accounts it can access
• Revoke instantly — Remove access with one click when you no longer need it To manage your OAuth applications, navigate to Profile > Access Management > Connected Applications ↗.

These updates give you:

• Granular control — Authorize apps per-account instead of all-or-nothing
• Transparency — Know exactly what you're authorizing before you consent
• Security — Limit blast radius by restricting access to only necessary accounts
• Easy cleanup — Revoke access when applications are no longer needed

Read more about these improvements in our blog post: Improving the OAuth consent experience ↗.

You can now configure Logpush jobs to Google BigQuery directly from the Cloudflare dashboard, in addition to the existing API-based setup.

Previously, setting up a BigQuery Logpush destination required using the Logpush API. Now you can create and manage BigQuery Logpush jobs from the Logpush page in the Cloudflare dashboard by selecting Google BigQuery as the destination and entering your Google Cloud project ID, dataset ID, table ID, and service account credentials.

For more information, refer to Enable Logpush to Google BigQuery.

Radar shareable widgets now include a generate citation action, making it easier to reference Cloudflare Radar ↗ data in research papers and other publications.

Select the citation icon to open a modal with five supported citation styles:

• BibTeX
• APA
• MLA
• Chicago
• RIS

Explore the feature on any shareable widget at Cloudflare Radar ↗.

The decode script injected by Email Address Obfuscation now loads with the defer attribute. This means the script no longer blocks page rendering. It downloads in parallel with HTML parsing and executes after the document is fully parsed, before the DOMContentLoaded event.

This improves page loading performance, contributing to better Core Web Vitals, for all zones with Email Address Obfuscation on. No action is required.

If you have custom JavaScript that depends on email addresses being decoded at a specific point during page load, note that the decode script now executes after HTML parsing completes rather than inline during parsing.

VPC Network bindings now give your Workers access to any service in your private network without pre-registering individual hosts or ports. This complements existing VPC Service bindings, which scope each binding to a specific host and port.

You can bind to a Cloudflare Tunnel by tunnel_id to reach any service on the network where that tunnel is running, or bind to your Cloudflare Mesh network using cf1:network to reach any Mesh node, client device, or subnet route in your account:

{
  "vpc_networks": [
    {
      "binding": "MESH",
      "network_id": "cf1:network",
      "remote": true
    }
  ]
}

[[vpc_networks]]
binding = "MESH"
network_id = "cf1:network"
remote = true

At runtime, fetch() routes through the network to reach the service at the IP and port you specify:

const response = await env.MESH.fetch("http://10.0.1.50:8080/api/data");

For configuration options and examples, refer to VPC Networks and Connect Workers to Cloudflare Mesh.

Cloudflare Containers and Sandboxes are now generally available.

Containers let you run more workloads on the Workers platform, including resource-intensive applications, different languages, and CLI tools that need full Linux environments.

Since the initial launch of Containers, there have been significant improvements to Containers' performance, stability, and feature set. Some highlights include:

• Higher limits allow you to run thousands of containers concurrently.
• Active-CPU pricing means that you only pay for used CPU cycles.
• Easy connections to Workers and other bindings via hostnames help you extend your Containers with additional functionality.
• Docker Hub support makes it easy to use your existing images and registries.
• SSH support helps you access and debug issues in live containers.

The Sandbox SDK provides isolated environments for running untrusted code securely, with a simple TypeScript API for executing commands, managing files, and exposing services. This makes it easier to secure and manage your agents at scale. Some additions since launch include:

• Live preview URLs so agents can run long-lived services and verify in-flight changes.
• Persistent code interpreters for Python, JavaScript, and TypeScript, with rich structured outputs.
• Interactive PTY terminals for real browser-based terminal access with multiple isolated shells per sandbox.
• Backup and restore APIs to snapshot a workspace and quickly restore an agent's coding session without repeating expensive setup steps.
• Real-time filesystem watching so apps and agents can react immediately to file changes inside a sandbox.

For more information, refer to Containers and Sandbox SDK documentation.

Outbound Workers for Sandboxes and Containers now support zero-trust credential injection, TLS interception, allow/deny lists, and dynamic per-instance egress policies. These features give platforms running agentic workloads full control over what leaves the sandbox, without exposing secrets to untrusted workloads, like user-generated code or coding agents.

Because outbound handlers run in the Workers runtime, outside the sandbox, they can hold secrets the sandbox never sees. A sandboxed workload can make a plain request, and credentials are transparently attached before a request is forwarded upstream.

For instance, you could run an agent in a sandbox and ensure that any requests it makes to Github are authenticated. But it will never be able to access the credentials:

export class MySandbox extends Sandbox {}

MySandbox.outboundByHost = {
	"github.com": (request: Request, env: Env, ctx: OutboundHandlerContext) => {
		const requestWithAuth = new Request(request);
		requestWithAuth.headers.set("x-auth-token", env.SECRET);
		return fetch(requestWithAuth);
	},
};

You can easily inject unique credentials for different instances by using ctx.containerId:

MySandbox.outboundByHost = {
	"my-internal-vcs.dev": async (
		request: Request,
		env: Env,
		ctx: OutboundHandlerContext,
	) => {
		const authKey = await env.KEYS.get(ctx.containerId);

		const requestWithAuth = new Request(request);
		requestWithAuth.headers.set("x-auth-token", authKey);
		return fetch(requestWithAuth);
	},
};

No token is ever passed into the sandbox. You can rotate secrets in the Worker environment and every request will pick them up immediately.

Outbound Workers now intercept HTTPS traffic. A unique ephemeral certificate authority (CA) and private key are created for each sandbox instance. The CA is placed into the sandbox and trusted by default. The ephemeral private key never leaves the container runtime sidecar process and is never shared across instances.

With TLS interception active, outbound Workers can act as a transparent proxy for both HTTP and HTTPS traffic.

Easily filter outbound traffic with allowedHosts and deniedHosts. When allowedHosts is set, it becomes a deny-by-default allowlist. Both properties support glob patterns.

export class MySandbox extends Sandbox {
	allowedHosts = ["github.com", "npmjs.org"];
}

Define named outbound handlers then apply or remove them at runtime using setOutboundHandler() or setOutboundByHost(). This lets you change egress policy for a running sandbox without restarting it.

export class MySandbox extends Sandbox {}

MySandbox.outboundHandlers = {
	allowHosts: async (req: Request, env: Env, ctx: OutboundHandlerContext ) => {
		const url = new URL(req.url);
		if (ctx.params.allowedHostnames.includes(url.hostname)) {
			return fetch(req);
		}
		return new Response(null, { status: 403 });
	},

	noHttp: async () => {
		return new Response(null, { status: 403 });
	},
};

Apply handlers programmatically from your Worker:

const sandbox = getSandbox(env.Sandbox, userId);

// Open network for setup
await sandbox.setOutboundHandler("allowHosts", {
	allowedHostnames: ["github.com", "npmjs.org"],
});
await sandbox.exec("npm install");

// Lock down after setup
await sandbox.setOutboundHandler("noHttp");

Handlers accept params, so you can customize behavior per instance without defining separate handler functions.

Upgrade to @cloudflare/containers@0.3.0 or @cloudflare/sandbox@0.8.9 to use these features.

For more details, refer to Sandbox outbound traffic and Container outbound traffic.

Local Explorer is a browser-based interface and REST API for viewing and editing local resource data during development. It removes the need to write throwaway scripts or dig through .wrangler/state to understand what data your Worker has stored locally.

Local Explorer is available in Wrangler 4.82.1+ and the Cloudflare Vite plugin 1.32.0+. Start a local development session and press e in your terminal, or navigate to /cdn-cgi/explorer on your local dev server.

Local Explorer supports five resource types and works across multiple workers running locally:

• KV — Browse keys, view values and metadata, create, update, and delete key-value pairs.
• R2 — List objects, view metadata, upload files, and delete objects. Supports directory views and multi-select.
• D1 — Browse tables and rows, run arbitrary SQL queries, and edit schemas in a full data studio.
• Durable Objects (SQLite storage) — Browse individual object SQLite tables, run SQL queries, and edit schemas.
• Workflows — List instances, view status and step history, trigger new runs, and pause, resume, restart, or terminate instances.

Local Explorer exposes a REST API at /cdn-cgi/explorer/api that provides programmatic access to the same operations available in the browser. The root endpoint returns an OpenAPI specification ↗ describing all available endpoints, parameters, and response formats.

curl http://localhost:8787/cdn-cgi/explorer/api

Point an AI coding agent at /cdn-cgi/explorer/api and it can discover and interact with your local resources without manual setup. This enables iterative development loops where an agent can populate test data in KV or D1, inspect Durable Object state, trigger Workflow runs, or upload files to R2.

For more details, refer to the Local Explorer documentation.

Remote Browser Isolation now supports Canvas Remoting, improving performance for HTML5 Canvas applications by sending vector draw commands instead of rasterized bitmaps.

• 10x bandwidth reduction: Microsoft Word and other Office apps use 90% less bandwidth
• Smooth performance: Google Sheets maintains consistent 30fps rendering
• Responsive terminals: Web-based development environments and AI notebooks work in real-time
• Zero configuration: Enabled by default for all Browser Isolation customers

Instead of sending rasterized bitmaps for every Canvas update, Browser Isolation now:

1. Captures Canvas draw commands at the source
2. Converts them to lightweight vector instructions
3. Renders Canvas content on the client

This reduces bandwidth from hundreds of kilobytes per second to tens of kilobytes per second.

To temporarily disable for troubleshooting:

• Right-click the isolated webpage background
• Select Disable Canvas Remoting
• Re-enable the same way by selecting Enable Canvas Remoting

Currently supports 2D Canvas contexts only. WebGL and 3D graphics applications continue using bitmap rendering. For more information, refer to Canvas Remoting.

Browser Rendering now exposes the Chrome DevTools Protocol (CDP), the low-level protocol that powers browser automation. The growing ecosystem of CDP-based agent tools, along with existing CDP automation scripts, can now use Browser Rendering directly.

Any CDP-compatible client, including Puppeteer and Playwright, can connect from any environment, whether that is Cloudflare Workers, your local machine, or a cloud environment. All you need is your Cloudflare API key.

For any existing CDP script, switching to Browser Rendering is a one-line change:

const puppeteer = require("puppeteer-core");

const browser = await puppeteer.connect({
	browserWSEndpoint: `wss://api.cloudflare.com/client/v4/accounts/${ACCOUNT_ID}/browser-rendering/devtools/browser?keep_alive=600000`,
	headers: { Authorization: `Bearer ${API_TOKEN}` },
});

const page = await browser.newPage();
await page.goto("https://example.com");
console.log(await page.title());
await browser.close();

Additionally, MCP clients like Claude Desktop, Claude Code, Cursor, and OpenCode can now use Browser Rendering as their remote browser via the chrome-devtools-mcp ↗ package.

Here is an example of how to configure Browser Rendering for Claude Desktop:

{
	"mcpServers": {
		"browser-rendering": {
			"command": "npx",
			"args": [
				"-y",
				"chrome-devtools-mcp@latest",
				"--wsEndpoint=wss://api.cloudflare.com/client/v4/accounts/<ACCOUNT_ID>/browser-rendering/devtools/browser?keep_alive=600000",
				"--wsHeaders={\"Authorization\":\"Bearer <API_TOKEN>\"}"
			]
		}
	}
}

To get started, refer to the CDP documentation.

Cloudflare API tokens now include identifiable patterns that enable secret scanning tools to automatically detect them when leaked in code repositories, configuration files, or other public locations.

API tokens generated by Cloudflare now follow a standardized format that secret scanning tools can recognize. When a Cloudflare token is accidentally committed to GitHub, GitLab, or another platform with secret scanning enabled, the tool will flag it and alert you.

Leaked credentials are a common security risk. By making Cloudflare tokens detectable by scanning tools, you can:

• Detect leaks faster — Get notified immediately when a token is exposed.
• Reduce risk window — Exposed tokens are deactivated immediately, before they can be exploited.
• Automate security — Leverage existing secret scanning infrastructure without additional configuration.

When a third-party secret scanning tool detects a leaked Cloudflare API token:

1. Cloudflare immediately deactivates the token to prevent unauthorized access.
2. The token creator receives an email notification alerting them to the leak.
3. The token is marked as "Exposed" in the Cloudflare dashboard.
4. You can then roll or delete the token from the token management pages.

• GitHub Secret Scanning — Automatically enabled for public repositories

For more information on token formats and secret scanning, refer to API token formats.

You can now use CASB webhooks in Cloudflare One to send posture finding instances to external systems such as chat platforms, ticketing systems, SIEMs, SOAR tools, and custom automation services.

This gives security teams a simple way to route CASB posture findings into the tools and workflows they already use for triage and response.

To get started, go to Integrations > Webhooks in the Cloudflare One dashboard to create a webhook destination. After you configure a webhook, open a posture finding instance and select Send webhook to send it.

• Flexible authentication — Configure destinations using None, Basic Auth, Bearer Auth, Static Headers, or HMAC-Signing.
• Built-in testing — Use Test delivery to send a test request before sending a live finding instance.
• Posture finding workflows — Send posture finding instances directly from the finding details workflow in Cloud & SaaS findings.
• HTTPS destinations — Configure webhook destinations with public https:// URLs.

• Configure CASB webhooks in Cloudflare.
• Learn how to manage findings in Cloudflare.

CASB webhooks are now available in Cloudflare One.

The simultaneous open connections limit has been relaxed. Previously, each Worker invocation was limited to six open connections at a time for the entire lifetime of each connection, including while reading the response body. Now, a connection is freed as soon as response headers arrive, so the six-connection limit only constrains how many connections can be in the initial "waiting for headers" phase simultaneously.

This means Workers can now have many more connections open at the same time without queueing, as long as no more than six are waiting for their initial response. This eliminates the Response closed due to connection limit exception that could previously occur when the runtime canceled stalled connections to prevent deadlocks.

Previously, the runtime used a deadlock avoidance algorithm that watched each open connection for I/O activity. If all six connections appeared idle — even momentarily — the runtime would cancel the least-recently-used connection to make room for new requests. In practice, this heuristic was fragile. For example, when a response used Content-Encoding: gzip, the runtime's internal decompression created brief gaps between read and write operations. During these gaps, the connection appeared stalled despite being actively read by the Worker. If multiple connections hit these gaps at the same time, the runtime could spuriously cancel a connection that was working correctly. By only counting connections during the waiting-for-headers phase — where the runtime is fully in control and there is no ambiguity about whether the connection is active — this class of bug is eliminated entirely.

AI Search now supports CSS content selectors for website data sources. You can now define which parts of a crawled page are extracted and indexed by specifying CSS selectors paired with URL glob patterns.

Content selectors solve the problem of indexing only relevant content while ignoring navigation, sidebars, footers, and other boilerplate. When a page URL matches a glob pattern, only elements matching the corresponding CSS selector are extracted and converted to Markdown for indexing.

Configure content selectors via the dashboard or API:

curl "https://api.cloudflare.com/client/v4/accounts/{account_id}/ai-search/instances" \
  -H "Authorization: Bearer {api_token}" \
  -H "Content-Type: application/json" \
  -d '{
    "id": "my-ai-search",
    "source": "https://example.com",
    "type": "web-crawler",
    "source_params": {
      "web_crawler": {
        "parse_options": {
          "content_selector": [
            {
              "path": "**/blog/**",
              "selector": "article .post-body"
            }
          ]
        }
      }
    }
  }'

Selectors are evaluated in order, and the first matching pattern wins. You can define up to 10 content selector entries per instance.

For configuration details and examples, refer to the content selectors documentation.

AI Search now supports four additional Workers AI models across text generation and embedding.

GLM-4.7-Flash is a lightweight model from Zhipu AI with a 131,072 token context window, suitable for long-document summarization and retrieval tasks. Qwen3-30B-A3B is a mixture-of-experts model from Alibaba that activates only 3 billion parameters per forward pass, keeping inference fast while maintaining strong response quality.

Qwen3-Embedding-0.6B supports up to 4,096 input tokens, making it a good fit for indexing longer text chunks. EmbeddingGemma-300M from Google produces 768-dimension vectors and is optimized for low-latency embedding workloads.

All four models are available without additional provider keys since they run on Workers AI. Select them when creating or updating an AI Search instance in the dashboard or through the API.

For the full list of supported models, refer to Supported models.

Cloudflare One's User Risk Scoring now incorporates direct signals from Gateway DNS traffic patterns. This update allows security teams to automatically elevate a user's risk score when they visit high-risk or malicious domains, providing a more holistic view of internal threats.

Browsing activity is a primary indicator of potential compromise. By tying Gateway DNS logs to specific users, administrators can now flag individuals interacting with:

• Security threats: Domains associated with malware, phishing, or command-and-control (C2) centers.
• High-risk content: Categories such as questionable content or violence that may violate corporate compliance.

Even if a Gateway policy is set to Block the traffic, the interaction is still captured as a "hit" to ensure the user's risk profile reflects the attempted activity.

Two new behaviors are now available in the dashboard:

• Suspicious Security Domain Visited: Triggers when a user visits a domain in the security threats or security risk categories.
• High risk domain visited: Triggers when a user visits domains categorized as questionable content, violence, or CIPA.

To learn more and get started, refer to the User Risk Scoring documentation.