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Redesigned “Get Help” Portal for faster, personalized help

Cloudflare has officially launched a redesigned “Get Help” Support Portal to eliminate friction and get you to a resolution faster. Previously, navigating support meant clicking through multiple tiles, categorizing your own technical issues across 50+ conditional fields, and translating your problem into Cloudflare’s internal taxonomy.

The new experience replaces that complexity with a personalized front door built around your specific account plan. Whether you are under a DDoS attack or have a simple billing question, the portal now presents a single, clean page that surfaces the direct paths available to you — such as “Ask AI”, “Chat with a human”, or “Community” — without the manual triage.

What’s New

• One Page, Clear Choices: No more navigating a grid of overlapping categories. The portal now uses action cards tailored to your plan (Free, Pro, Business, or Enterprise), ensuring you only see the support channels you can actually use.
• A Radically Simpler Support Form: We’ve reduced the ticket submission process from four+ screens and 50+ fields to a single screen with five critical inputs. You describe the issue in your own words, and our backend handles the categorization.
• AI-Driven Triage: Using Cloudflare Workers AI and Vectorize, the portal now automatically generates case subjects and predicts product categories.

Moving complexity to the backend

Behind the scenes, we’ve moved the complexity from the user to our own developer stack. When you describe an issue, we use semantic embeddings to capture intent rather than just keywords.

By leveraging case-based reasoning, our system compares your request against millions of resolved cases to route your inquiry to the specialist best equipped to help. This ensures that while the front-end experience is simpler for you, the back-end routing is more accurate than ever.

To learn more, refer to the Support documentation or select Get Help directly in the Cloudflare Dashboard.

Cloudflare Email Security now supports DANE (DNS-based Authentication of Named Entities) for MX deployments. This enhancement strengthens email transport security by enabling DNSSEC-backed certificate verification for our regional MX records.

• Regional MX hostnames now publish DANE TLSA records backed by DNSSEC, enabling DANE-capable SMTP senders to cryptographically validate certificate identities before establishing TLS connections—moving beyond opportunistic encryption to verified encrypted delivery.
• DANE support is automatically available for all customers using regional MX deployments. No additional configuration is required; DANE-capable mail infrastructure will automatically validate MX certificates using the published records.

This applies to all Email Security packages:

• Advantage
• Enterprise
• Enterprise + PhishGuard

Cloudflare Email Security now supports DANE (DNS-based Authentication of Named Entities) for MX deployments. This enhancement strengthens email transport security by enabling DNSSEC-backed certificate verification for our regional MX records.

• Regional MX hostnames now publish DANE TLSA records backed by DNSSEC, enabling DANE-capable SMTP senders to cryptographically validate certificate identities before establishing TLS connections—moving beyond opportunistic encryption to verified encrypted delivery.
• DANE support is automatically available for all customers using regional MX deployments. No additional configuration is required; DANE-capable mail infrastructure will automatically validate MX certificates using the published records.

This applies to all Email Security packages:

• Advantage
• Enterprise
• Enterprise + PhishGuard

We’re announcing the public beta of Organizations for enterprise customers, a new top-level Cloudflare container that lets Cloudflare customers manage multiple accounts, members, analytics, and shared policies from one centralized location.

What’s New

Organizations [BETA]: Organizations are a new top-level container for centrally managing multiple accounts. Each Organization supports up to 500 accounts and 500 zones, giving larger teams a single place to administer resources at scale.

Self-serve onboarding: Enterprise customers can create an Organization in the dashboard and assign accounts where they are already Super Administrators.

Centralized Account Management: At launch, every Organization member has the Organization Super Admin role. Organization Super Admins can invite other users and manage any child account under the Organization implicitly.
Shared policies: Share WAF or Gateway policies across multiple accounts within your Organization to simplify centralized policy management.
Implicit access: Members of an Organization automatically receive Super Administrator permissions across child accounts, removing the need for explicit membership on each account. Additional Org-level roles will be available over the course of the year.

Unified analytics: View, filter, and download aggregate HTTP analytics across all Organization child accounts from a single dashboard for centralized visibility into traffic patterns and security events.

Terraform provider support: Manage Organizations with infrastructure as code from day one. Provision organizations, assign accounts, and configure settings programmatically with the Cloudflare Terraform provider.

Shared policies: Share WAF or Gateway policies across multiple accounts within your Organization to simplify centralized policy management.

For more info:

• Get started with Organizations
• Set up your Organization
• Review limitations

We are partnering with Google to bring @cf/google/gemma-4-26b-a4b-it to Workers AI. Gemma 4 26B A4B is a Mixture-of-Experts (MoE) model built from Gemini 3 research, with 26B total parameters and only 4B active per forward pass. By activating a small subset of parameters during inference, the model runs almost as fast as a 4B-parameter model while delivering the quality of a much larger one.

Gemma 4 is Google’s most capable family of open models, designed to maximize intelligence-per-parameter.

Key capabilities

• Mixture-of-Experts architecture with 8 active experts out of 128 total (plus 1 shared expert), delivering frontier-level performance at a fraction of the compute cost of dense models
• 256,000 token context window for retaining full conversation history, tool definitions, and long documents across extended sessions
• Built-in thinking mode that lets the model reason step-by-step before answering, improving accuracy on complex tasks
• Vision understanding for object detection, document and PDF parsing, screen and UI understanding, chart comprehension, OCR (including multilingual), and handwriting recognition, with support for variable aspect ratios and resolutions
• Function calling with native support for structured tool use, enabling agentic workflows and multi-step planning
• Multilingual with out-of-the-box support for 35+ languages, pre-trained on 140+ languages
• Coding for code generation, completion, and correction

Use Gemma 4 26B A4B through the Workers AI binding (env.AI.run()), the REST API at /run or /v1/chat/completions, or the OpenAI-compatible endpoint.

For more information, refer to the Gemma 4 26B A4B model page.

We are partnering with Google to bring @cf/google/gemma-4-26b-a4b-it to Workers AI. Gemma 4 26B A4B is a Mixture-of-Experts (MoE) model built from Gemini 3 research, with 26B total parameters and only 4B active per forward pass. By activating a small subset of parameters during inference, the model runs almost as fast as a 4B-parameter model while delivering the quality of a much larger one.

Gemma 4 is Google’s most capable family of open models, designed to maximize intelligence-per-parameter.

Key capabilities

• Mixture-of-Experts architecture with 8 active experts out of 128 total (plus 1 shared expert), delivering frontier-level performance at a fraction of the compute cost of dense models
• 256,000 token context window for retaining full conversation history, tool definitions, and long documents across extended sessions
• Built-in thinking mode that lets the model reason step-by-step before answering, improving accuracy on complex tasks
• Vision understanding for object detection, document and PDF parsing, screen and UI understanding, chart comprehension, OCR (including multilingual), and handwriting recognition, with support for variable aspect ratios and resolutions
• Function calling with native support for structured tool use, enabling agentic workflows and multi-step planning
• Multilingual with out-of-the-box support for 35+ languages, pre-trained on 140+ languages
• Coding for code generation, completion, and correction

Use Gemma 4 26B A4B through the Workers AI binding (env.AI.run()), the REST API at /run or /v1/chat/completions, or the OpenAI-compatible endpoint.

For more information, refer to the Gemma 4 26B A4B model page.

We are partnering with Google to bring @cf/google/gemma-4-26b-a4b-it to Workers AI. Gemma 4 26B A4B is a Mixture-of-Experts (MoE) model built from Gemini 3 research, with 26B total parameters and only 4B active per forward pass. By activating a small subset of parameters during inference, the model runs almost as fast as a 4B-parameter model while delivering the quality of a much larger one.

Gemma 4 is Google’s most capable family of open models, designed to maximize intelligence-per-parameter.

Key capabilities

• Mixture-of-Experts architecture with 8 active experts out of 128 total (plus 1 shared expert), delivering frontier-level performance at a fraction of the compute cost of dense models
• 256,000 token context window for retaining full conversation history, tool definitions, and long documents across extended sessions
• Built-in thinking mode that lets the model reason step-by-step before answering, improving accuracy on complex tasks
• Vision understanding for object detection, document and PDF parsing, screen and UI understanding, chart comprehension, OCR (including multilingual), and handwriting recognition, with support for variable aspect ratios and resolutions
• Function calling with native support for structured tool use, enabling agentic workflows and multi-step planning
• Multilingual with out-of-the-box support for 35+ languages, pre-trained on 140+ languages
• Coding for code generation, completion, and correction

Use Gemma 4 26B A4B through the Workers AI binding (env.AI.run()), the REST API at /run or /v1/chat/completions, or the OpenAI-compatible endpoint.

For more information, refer to the Gemma 4 26B A4B model page.

A new GA release for the Windows Cloudflare One Client is now available on the stable releases downloads page.

This release contains minor fixes and improvements.

The next stable release for Windows will introduce the new Cloudflare One Client UI, providing a cleaner and more intuitive design as well as easier access to common actions and information.

Changes and improvements

• Consumer-only CLI commands are now clearly distinguished from Zero Trust commands.
• Added detailed QUIC connection metrics to diagnostic logs for better troubleshooting.
• Added monitoring for tunnel statistics collection timeouts.
• Switched tunnel congestion control algorithm for local proxy mode to Cubic for improved reliability across platforms.
• Fixed packet capture failing on tunnel interface when the tunnel interface is renamed by SCCM VPN boundary support.
• Fixed unnecessary registration deletion caused by RDP connections in multi-user mode.
• Fixed increased tunnel interface start-up time due to a race between duplicate address detection (DAD) and disabling NetBT.
• Fixed tunnel failing to connect when the system DNS search list contains unexpected characters.
• Empty MDM files are now rejected instead of being incorrectly accepted as a single MDM config.
• Fixed an issue in local proxy mode where the client could become unresponsive due to upstream connection timeouts.
• Fixed an issue where the emergency disconnect status of a prior organization persisted after a switch to a different organization.
• Fixed initiating managed network detections checks when no network is available, which caused device profile flapping.
• Fixed an issue where degraded Windows Management Instrumentation (WMI) state could put the client in a failed connection state loop during initialization.

Known issues

• For Windows 11 24H2 users, Microsoft has confirmed a regression that may lead to performance issues like mouse lag, audio cracking, or other slowdowns. Cloudflare recommends users experiencing these issues upgrade to a minimum Windows 11 24H2 version KB5062553 or higher for resolution. This warning will be omitted from future release notes. This Windows update was released in July 2025.

• Devices with KB5055523 installed may receive a warning about Win32/ClickFix.ABA being present in the installer. To resolve this false positive, update Microsoft Security Intelligence to version 1.429.19.0 or later. This warning will be omitted from future release notes. This Microsoft Security Intelligence update was released in May 2025.

• DNS resolution may be broken when the following conditions are all true:

  • The client is in Secure Web Gateway without DNS filtering (tunnel-only) mode.
  • A custom DNS server address is configured on the primary network adapter.
  • The custom DNS server address on the primary network adapter is changed while the client is connected.

  To work around this issue, reconnect the client by selecting Disconnect and then Connect in the client user interface.

A new GA release for the macOS Cloudflare One Client is now available on the stable releases downloads page.

This release contains minor fixes and improvements.

The next stable release for macOS will introduce the new Cloudflare One Client UI, providing a cleaner and more intuitive design as well as easier access to common actions and information.

Changes and improvements

• Empty MDM files are now rejected instead of being incorrectly accepted as a single MDM config.
• Fixed an issue in local proxy mode where the client could become unresponsive due to upstream connection timeouts.
• Fixed an issue where the emergency disconnect status of a prior organization persisted after a switch to a different organization.
• Consumer-only CLI commands are now clearly distinguished from Zero Trust commands.
• Added detailed QUIC connection metrics to diagnostic logs for better troubleshooting.
• Added monitoring for tunnel statistics collection timeouts.
• Switched tunnel congestion control algorithm for local proxy mode to Cubic for improved reliability across platforms.
• Fixed initiating managed network detections checks when no network is available, which caused device profile flapping.

A new GA release for the macOS Cloudflare One Client is now available on the stable releases downloads page.

This release contains minor fixes and improvements.

The next stable release for macOS will introduce the new Cloudflare One Client UI, providing a cleaner and more intuitive design as well as easier access to common actions and information.

Changes and improvements

• Empty MDM files are now rejected instead of being incorrectly accepted as a single MDM config.
• Fixed an issue in local proxy mode where the client could become unresponsive due to upstream connection timeouts.
• Fixed an issue where the emergency disconnect status of a prior organization persisted after a switch to a different organization.
• Consumer-only CLI commands are now clearly distinguished from Zero Trust commands.
• Added detailed QUIC connection metrics to diagnostic logs for better troubleshooting.
• Added monitoring for tunnel statistics collection timeouts.
• Switched tunnel congestion control algorithm for local proxy mode to Cubic for improved reliability across platforms.
• Fixed initiating managed network detections checks when no network is available, which caused device profile flapping.