Tag Archives: Secure Web Gateway

Unmasking the Unseen: Your Guide to Taming Shadow AI with Cloudflare One

Post Syndicated from Noelle Kagan original https://blog.cloudflare.com/shadow-AI-analytics/

The digital landscape of corporate environments has always been a battleground between efficiency and security. For years, this played out in the form of “Shadow IT” — employees using unsanctioned laptops or cloud services to get their jobs done faster. Security teams became masters at hunting these rogue systems, setting up firewalls and policies to bring order to the chaos.

But the new frontier is different, and arguably far more subtle and dangerous.

Imagine a team of engineers, deep into the development of a groundbreaking new product. They’re on a tight deadline, and a junior engineer, trying to optimize his workflow, pastes a snippet of a proprietary algorithm into a popular public AI chatbot, asking it to refactor the code for better performance. The tool quickly returns the revised code, and the engineer, pleased with the result, checks it in. What they don’t realize is that their query, and the snippet of code, is now part of the AI service’s training data, or perhaps logged and stored by the provider. Without anyone noticing, a critical piece of the company’s intellectual property has just been sent outside the organization’s control, a silent and unmonitored data leak.

This isn’t a hypothetical scenario. It’s the new reality. Employees, empowered by these incredibly powerful AI tools, are now using them for everything from summarizing confidential documents to generating marketing copy and, yes, even writing code. The data leaving the company in these interactions is often invisible to traditional security tools, which were never built to understand the nuances of a browser tab interacting with a large language model. This quiet, unmanaged usage is “Shadow AI,” and it represents a new, high-stakes security blind spot.

To combat this, we need a new approach—one that provides visibility into this new class of applications and gives security teams the control they need, without impeding the innovation that makes these tools so valuable.

Shadow AI reporting

This is where the Cloudflare Shadow IT Report comes in. It’s not a list of threats to be blocked, but rather a visibility and analytics tool designed to help you understand the problem before it becomes a crisis. Instead of relying on guesswork or trying to manually hunt down every unsanctioned application, Cloudflare One customers can use the insights from their traffic to gain a clear, data-driven picture of their organization’s application usage.

The report provides a detailed, categorized view of your application activity, and is easily narrowed down to AI activity. We’ve leveraged our network and threat intelligence capabilities to identify and classify AI services, identifying general-purpose models like ChatGPT, code-generation assistants like GitHub Copilot, and specialized tools used for marketing, data analysis, or other content creation, like Leonardo.ai. This granular view allows security teams to see not just that an employee is using an AI app, but which AI app, and what users are accessing it.

How we built it

Sharp eyed users may have noticed that we’ve had a shadow IT feature for a while — so what changed? While Cloudflare Gateway, our secure web gateway (SWG), has recorded some of this data for some time, users have wanted deeper insights and reporting into their organization’s application usage. Cloudflare Gateway processes hundreds of millions of rows of app usage data for our biggest users daily, and that scale was causing issues with queries into larger time windows. Additionally, the original implementation lacked the filtering and customization capabilities to properly investigate the usage of AI applications. We knew this was information that our customers loved, but we weren’t doing a good enough job of showing it to them.

Solving this was a cross-team effort requiring a complete overhaul by our analytics and reporting engineers. You may have seen our work recently in this July 2025 blog post detailing how we adopted TimescaleDB to support our analytics platform, unlocking our analytics, allowing us to aggregate and compress long term data to drastically improve query performance. This solves the issue we originally faced around our scale, letting our biggest customers query their data for long time periods. Our crawler collects the original HTTP traffic data from Gateway, which we store into a Timescale database.

Once the data are in our database, we built specific, materialized views in our database around the Shadow IT and AI use case to support analytics for this feature. Whereas the existing HTTP analytics we built are centered around the HTTP requests on an account, these specific views are centered around the information relevant to applications, for example: Which of my users are going to unapproved applications? How much bandwidth are they consuming? Is there an end-user in an unexpected geographical location interacting with an unreviewed application? What devices are using the most bandwidth?

Over the past year, the team has defined a set framework for the analytics we surface. Our timeseries graphs and top-n graphs are all filterable by duration and the relevant data points shown, allowing users to drill down to specific data points and see the details of their corporate traffic. We overhauled Shadow IT by examining the data we had and researching how AI applications were presenting visibility challenges for customers. From there we leveraged our existing framework and built the Shadow IT dashboard. This delivered the application-level visibility that we know our customers needed.

How to use it

1. Proxy your traffic with Gateway

The core of the system is Cloudflare Gateway, an in-line filter and proxy for all your organization’s Internet traffic, regardless of where your users are. When an employee tries to access an AI application, their traffic flows through Cloudflare’s global network. Cloudflare can inspect the traffic, including the hostname, and map the traffic to our application definitions. TLS inspection is optional for Gateway customers, but it is required for ShadowIT analytics.

Interactions are logged and tied to user identity, device posture, bandwidth consumed and even the geographic location. This rich context is crucial for understanding who is using which AI tools, when, and from where.

2. Review application use

All this granular data is then presented in an our Shadow IT Report within your Cloudflare One dashboard. Simply filter for AI applications so you can:

  • High-Level Overview: Get an immediate sense of your organization’s AI adoption. See the top AI applications in use, overall usage trends, and the volume of data being processed. This will help you identify and target your security and governance efforts.

  • Granular Drill-Downs: Need more detail? Click on any AI application to see specific users or groups accessing it, their usage frequency, location, and the amount of data transferred. This detail helps you pinpoint teams using AI around the company, as well as how much data is flowing to those applications.


ShadowIT analytics dashboard

3. Mark application approval statuses

We understand that not all AI tools are created equal, and your organization’s comfort level will vary. The Shadow AI Report introduces a flexible framework for Application Approval Status, allowing you to formally categorize each detected AI application:

  • Approved: These are the AI applications that have passed your internal security vetting, comply with your policies, and are officially sanctioned for use. 

  • Unapproved: These are the red-light applications. Perhaps they have concerning data privacy policies, a history of vulnerabilities, or simply don’t align with your business objectives.

  • In Review: For those gray-area applications, or newly discovered tools, this status lets your teams acknowledge their usage while conducting thorough due diligence. It buys you time to make an informed decision without immediate disruption.


Review and mark application statuses in the dashboard

4. Enforce policies

These approval statuses come alive when integrated with Cloudflare Gateway policies. This allows you to automatically enforce your AI decisions at the edge of Cloudflare’s network, ensuring consistent security for every employee, anywhere they work.

Here’s how you can translate your decisions into inline protection:

  • Block unapproved AI: The simplest and most direct action. Create a Gateway HTTP policy that blocks all traffic to any AI application marked as “Unapproved.” This immediately shuts down risky data exfiltration.

  • Limit “In Review” exposure: For applications still being assessed, you might not want a hard block, but rather a soft limit on potential risks:

  • Data Loss Prevention (DLP): Cloudflare DLP inspects and analyzes traffic for indicators of sensitive data (e.g., credit card numbers, PII, internal project names, source code) and can then block the transfer. By applying DLP to “In Review” AI applications, you can prevent AI prompts containing this proprietary data, as well as notify the user why the prompt was blocked. This could have saved our poor junior engineer from their well-intended mistake.. 

  • Restrict Specific Actions: Block only file uploads allowing basic interaction but preventing mass data egress. 

  • Isolate Risky Sessions: Route traffic for “In Review” applications through Cloudflare’s Browser Isolation. Browser Isolation executes the browser session in a secure, remote container, isolating all data interactions from your corporate network. With it, you can control file uploads, clipboard actions, reduce keyboard inputs and more, reducing interaction with the application while you review it.

  • Audit “Approved” usage: Even for AI tools you trust, you might want to log all interactions for compliance auditing or apply specific data handling rules to ensure ongoing adherence to internal policies.

This workflow enables your team to consistently audit your organization’s AI usage and easily update policies to quickly and easily reduce security risk.

Forensics with Cloudflare Log Explorer

While the Shadow AI Report provides excellent insights, security teams often need to perform deeper forensic investigations. For these advanced scenarios, we offer Cloudflare Log Explorer.

Log Explorer allows you to store and query your Cloudflare logs directly within the Cloudflare dashboard or via API, eliminating the need to send massive log volumes to third-party SIEMs for every investigation. It provides raw, unsampled log data with full context, enabling rapid and detailed analysis.

Log Explorer customers can dive into Shadow AI logs with pre-populated SQL queries from Cloudflare Analytics, enabling deeper investigations into AI usage:


Log Search’s SQL query interface

How to investigate Shadow AI with Log Explorer:

  • Trace Specific User Activity: If the Shadow AI Report flags a user with high activity on an “In Review” or “Unapproved” AI app, you can jump into Log Explorer and query by user, application category, or specific AI services. 

  • Analyze Data Exfiltration Attempts: If you have DLP policies configured, you can search for DLP matches in conjunction with AI application categories. This helps identify attempts to upload sensitive data to AI applications and pinpoint exactly what data was being transmitted.

  • Identify Anomalous AI Usage: The Shadow AI Report might show a spike in usage for a particular AI application. In Log Explorer, you can filter by application status (In Review or Unapproved) for a specific time range. Then, look for unusual patterns, such as a high number of requests from a single source IP address, or unexpected geographic origins, which could indicate compromised accounts or policy evasion attempts.

If AI visibility is a challenge for your organization, the Shadow AI Report is available now for Cloudflare One customers, as part of our broader shadow IT discovery capabilities. Log in to your dashboard to start regaining visibility and shaping your AI governance strategy today. 

Ready to modernize how you secure access to AI apps? Reach out for a consultation with our Cloudflare One security experts about how to regain visibility and control. 

Or if you’re not ready to talk to someone yet,  nearly every feature in Cloudflare One is available at no cost for up to 50 users. Many of our largest enterprise customers start by exploring the products themselves on our free plan, and you can get started here.

If you’ve got feedback or want to help shape how Cloudflare enhances visibility across shadow AI, please consider joining our user research program. 

Introducing Cloudy, Cloudflare’s AI agent for simplifying complex configurations

Post Syndicated from Alex Dunbrack original https://blog.cloudflare.com/introducing-ai-agent/

It’s a big day here at Cloudflare! Not only is it Security Week, but today marks Cloudflare’s first step into a completely new area of functionality, intended to improve how our users both interact with, and get value from, all of our products.

We’re excited to share a first glance of how we’re embedding AI features into the management of Cloudflare products you know and love. Our first mission? Focus on security and streamline the rule and policy management experience. The goal is to automate away the time-consuming task of manually reviewing and contextualizing Custom Rules in Cloudflare WAF, and Gateway policies in Cloudflare One, so you can instantly understand what each policy does, what gaps they have, and what you need to do to fix them.

Meet Cloudy, Cloudflare’s first AI agent

Our initial step toward a fully AI-enabled product experience is the introduction of Cloudy, the first version of Cloudflare AI agents, assistant-like functionality designed to help users quickly understand and improve their Cloudflare configurations in multiple areas of the product suite. You’ll start to see Cloudy functionality seamlessly embedded into two Cloudflare products across the dashboard, which we’ll talk about below.

And while the name Cloudy may be fun and light-hearted, our goals are more serious: Bring Cloudy and AI-powered functionality to every corner of Cloudflare, and optimize how our users operate and manage their favorite Cloudflare products. Let’s start with two places where Cloudy is now live and available to all customers using the WAF and Gateway products.

WAF Custom Rules

Let’s begin with AI-powered overviews of WAF Custom Rules. For those unfamiliar, Cloudflare’s Web Application Firewall (WAF) helps protect web applications from attacks like SQL injection, cross-site scripting (XSS), and other vulnerabilities. 

One specific feature of the WAF is the ability to create WAF Custom Rules. These allow users to tailor security policies to block, challenge, or allow traffic based on specific attributes or security criteria.

However, for customers with dozens or even hundreds of rules deployed across their organization, it can be challenging to maintain a clear understanding of their security posture. Rule configurations evolve over time, often managed by different team members, leading to potential inefficiencies and security gaps. What better problem for Cloudy to solve?


Powered by Workers AI, today we’ll share how Cloudy will help review your WAF Custom Rules and provide a summary of what’s configured across them. Cloudy will also help you identify and solve issues such as:

  • Identifying redundant rules: Identify when multiple rules are performing the same function, or using similar fields, helping you streamline your configuration.

  • Optimising execution order: Spot cases where rules ordering affects functionality, such as when a terminating rule (block/challenge action) prevents subsequent rules from executing.

  • Analysing conflicting rules: Detect when rules counteract each other, such as one rule blocking traffic that another rule is designed to allow or log.

  • Identifying disabled rules: Highlight potentially important security rules that are in a disabled state, helping ensure that critical protections are not accidentally left inactive.

Cloudy won’t just summarize your rules, either. It will analyze the relationships and interactions between rules to provide actionable recommendations. For security teams managing complex sets of Custom Rules, this means less time spent auditing configurations and more confidence in your security coverage.

Available to all users, we’re excited to show how Cloudflare AI Agents can enhance the usability of our products, starting with WAF Custom Rules. But this is just the beginning.

Cloudflare One Firewall policies


We’ve also added Cloudy to Cloudflare One, our SASE platform, where enterprises manage the security of their employees and tools from a single dashboard.

In Cloudflare Gateway, our Secure Web Gateway offering, customers can configure policies to manage how employees do their jobs on the Internet. These Gateway policies can block access to malicious sites, prevent data loss violations, and control user access, among other things.

But similar to WAF Custom Rules, Gateway policy configurations can become overcomplicated and bogged down over time, with old, forgotten policies that do who-knows-what. Multiple selectors and operators working in counterintuitive ways. Some blocking traffic, others allowing it. Policies that include several user groups, but carve out specific employees. We’ve even seen policies that block hundreds of URLs in a single step. All to say, managing years of Gateway policies can become overwhelming.

So, why not have Cloudy summarize Gateway policies in a way that makes their purpose clear and concise?

Available to all Cloudflare Gateway users (create a free Cloudflare One account here), Cloudy will now provide a quick summary of any Gateway policy you view. It’s now easier than ever to get a clear understanding of each policy at a glance, allowing admins to spot misconfigurations, redundant controls, or other areas for improvement, and move on with confidence.

Built on Workers AI

At the heart of our new functionality is Cloudflare Workers AI (yes, the same version that everyone uses!) that leverages advanced large language models (LLMs) to process vast amounts of information; in this case, policy and rules data. Traditionally, manually reviewing and contextualizing complex configurations is a daunting task for any security team. With Workers AI, we automate that process, turning raw configuration data into consistent, clear summaries and actionable recommendations.

How it works

Cloudflare Workers AI ingests policy and rule configurations from your Cloudflare setup and combines them with a purpose-built LLM prompt. We leverage the same publicly-available LLM models that we offer our customers, and then further enrich the prompt with some additional data to provide it with context. For this specific task of analyzing and summarizing policy and rule data, we provided the LLM:

  • Policy & rule data: This is the primary data itself, including the current configuration of policies/rules for Cloudy to summarize and provide suggestions against.

  • Documentation on product abilities: We provide the model with additional technical details on the policy/rule configurations that are possible with each product, so that the model knows what kind of recommendations are within its bounds.

  • Enriched datasets: Where WAF Custom Rules or CF1 Gateway policies leverage other ‘lists’ (e.g., a WAF rule referencing multiple countries, a Gateway policy leveraging a specific content category), the list item(s) selected must be first translated from an ID to plain-text wording so that the LLM can interpret which policy/rule values are actually being used.

  • Output instructions: We specify to the model which format we’d like to receive the output in. In this case, we use JSON for easiest handling.

  • Additional clarifications: Lastly, we explicitly instruct the LLM to be sure about its output, valuing that aspect above all else. Doing this helps us ensure that no hallucinations make it to the final output.

By automating the analysis of your WAF Custom Rules and Gateway policies, Cloudflare Workers AI not only saves you time but also enhances security by reducing the risk of human error. You get clear, actionable insights that allow you to streamline your configurations, quickly spot anomalies, and maintain a strong security posture—all without the need for labor-intensive manual reviews.

What’s next for Cloudy

Beta previews of Cloudy are live for all Cloudflare customers today. But this is just the beginning of what we envision for AI-powered functionality across our entire product suite.

Throughout the rest of 2025, we plan to roll out additional AI agent capabilities across other areas of Cloudflare. These new features won’t just help customers manage security more efficiently, but they’ll also provide intelligent recommendations for optimizing performance, streamlining operations, and enhancing overall user experience.

We’re excited to hear your thoughts as you get to meet Cloudy and try out these new AI features – send feedback to us at [email protected], or post your thoughts on X, LinkedIn, or Mastodon tagged with #SecurityWeek! Your feedback will help shape our roadmap for AI enhancement, and bring our users smarter, more efficient tooling that helps everyone get more secure.


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A wild week in phishing, and what it means for you

Post Syndicated from Pete Pang original https://blog.cloudflare.com/a-wild-week-in-phishing-and-what-it-means-for-you


Being a bad guy on the Internet is a really good business. In more than 90% of cybersecurity incidents, phishing is the root cause of the attack, and during this third week of August phishing attacks were reported against the U.S. elections, in the geopolitical conflict between the U.S., Israel, and Iran, and to cause $60M in corporate losses.

You might think that after 30 years of email being the top vector for attack and risk we are helpless to do anything about it, but that would be giving too much credit to bad actors, and a misunderstanding of how defenders focused on detections can take control and win.

Phishing isn’t about email exclusively, or any specific protocol for that matter. Simply put, it is an attempt to get a person, like you or me, to take an action that unwittingly leads to damages. These attacks work because they appear to be authentic, visually or organizationally, such as pretending to be the CEO or CFO of your company, and when you break it down they are three main attack vectors that Cloudflare has seen most impactful from the bad emails we protect our customers from: 1. Clicking links (deceptive links are 35.6% of threat indicators) 2. Downloading files or malware  (malicious attachments are 1.9% of threat indicators) 3. Business email compromise (BEC) phishing that elicits money or intellectual property with no links or files (0.5% of threat indicators).

Today, we at Cloudflare see an increase in what we’ve termed multi-channel phishing. What other channels are there to send links, files and elicit BEC actions? There’s SMS (text messaging) and public and private messaging applications, which are increasingly common attack vectors that take advantage of the ability to send links over those channels, and also how people consume information and work. There’s cloud collaboration, where attackers rely on links, files, and BEC phishing on commonly used collaboration tools like Google Workspace, Atlassian, and Microsoft Office 365. And finally, there’s web and social phishing targeting people on LinkedIn and X. Ultimately, any attempt to stop phishing needs to be comprehensive enough to detect and protect against these different vectors.

Learn more about these technologies and products here

A real example

It’s one thing to tell you this, but we’d love to give you an example of how a multi-channel phish plays out with a sophisticated attacker.

Here’s an email message that an executive notices is in their junk folder. That’s because our Email Security product noticed there’s something off about it and moved it there, but it relates to a project the executive is working on, so the executive thinks it’s legitimate. There’s a request for a company org chart, and the attacker knows that this is the kind of thing that’s going to be caught if they continue on email, so they include a link to a real Google form:

  • The executive clicks the link, and because it is a legitimate Google form, it displays the following:
  • There’s a request to upload the org chart here, and that’s what they try to do:
  • The executive drags it in, but it doesn’t finish uploading because in the document there is an “internal only” watermark that our Gateway and digital loss prevention (DLP) engine detected, which in turn prevented the upload.
  • Sophisticated attackers use urgency to drive better outcomes. Here, the attackers know the executive has an upcoming deadline for the consultant to report back to the CEO. Unable to upload the document, they respond back to the attacker. The attacker suggests that they try another method of upload or, in the worst case scenario, send the document on WhatsApp.
  • The executive attempts to upload the org chart to the website they were provided in the second email, not knowing that this site would have loaded malware, but because it was loaded in Cloudflare’s Browser Isolation, it kept the executive’s device safe. Most importantly, when trying to upload sensitive company documents, the action is stopped again:
  • Finally they try WhatsApp, and again, we block it:

Ease of use

Setting up a security solution and maintaining it is critical to long term protection. However, having IT administration teams constantly tweak each product, configuration, and monitor each users’ needs is not only costly but risky as well, as it puts a large amount of overhead on these teams.

Protecting the executive in the example above required just four steps:

  1. Install and login to Cloudflare’s device agent for protection

With just a few clicks, anyone with the device agent client can be protected against multi-channel phish, making it easy for end users and administrators. For organizations that don’t allow clients to be installed, an agentless deployment is also available.  

2.  Configure policies that apply to all your user traffic routed through our secure web gateway. These policies can block access outright to high risk sites, such as those known to participate in phishing campaigns. For sites that may be suspicious, such as newly registered domains, isolated browser access allows users to access the website, but limits their interaction.

The executive was also unable to upload the org chart to a free cloud storage service because their organization is using Cloudflare One’s Gateway and Browser Isolation solutions that were configured to load any free cloud storage websites in a remote isolated environment, which not only prevented the upload but also removed the ability to copy and paste information as well.

Also, while the executive was able to converse with the bad actor over WhatsApp, their files were blocked because of Cloudflare One’s Gateway solution, configured by the administrator to block all uploads and downloads on WhatsApp.

3.  Set up DLP policies based on what shouldn’t be uploaded, typed, or copied and pasted.

The executive was unable to upload the org chart to the Google form because the organization is using Cloudflare One’s Gateway and DLP solutions. This protection is implemented by configuring Gateway to block any DLP infraction, even on a valid website like Google.

4.  Deploy Email Security and set up auto-move rules based on the types of emails detected.

In the example above, the executive never received any of the multiple malicious emails that were sent to them because Cloudflare’s Email Security was protecting their inbox. The phishing emails that did arrive were put into their Junk folder because the email was impersonating someone that didn’t match the signature in the email, and the configuration in Email Security automatically moved it there because of a one-click configuration set by the executive’s IT administrator.

But even with best-in-class detections, it goes without saying that it is important to have the ability to drill down on any metric to learn about individual users that are being impacted by an ongoing attack. Below is a mockup of our upcoming improved email security monitoring dashboard.

What’s next

While phishing, despite being around for three decades, continues to be a clear and present danger, effective detections in a seamless and comprehensive solution are really the only way to stay protected these days.

If you’re simply thinking about purchasing email security by itself, you can see why that just isn’t enough. Multi-layered protection is absolutely necessary to protect modern workforces, because work and data don’t just sit in email. They’re everywhere and on every device. Your phishing protection needs to be as well.

While you can do this by stitching together multiple vendors, it just won’t all work together. And besides the cost, a multi-vendor approach also usually increases overhead for investigation, maintenance, and uniformity for IT teams that are already stretched thin.

Whether or not you are at the start of your journey with Cloudflare, you can see how getting different parts of the Cloudflare One product suite can help holistically with phishing. And if you are already deep in your journey with Cloudflare, and are looking for 99.99% effective email detections trusted by the Fortune 500, global organizations, and even government entities, you can see how our Email Security helps.

If you’re running Office 365, and you’d like to see what we can catch that your current provider cannot, you can start right now with Retro Scan.

And if you are using our Email Security solution already, you can learn more about our comprehensive protection here.

Announcing Custom DLP profiles

Post Syndicated from Adam Chalmers original https://blog.cloudflare.com/custom-dlp-profiles/

Announcing Custom DLP profiles

Introduction

Announcing Custom DLP profiles

Where does sensitive data live? Who has access to that data? How do I know if that data has been improperly shared or leaked? These questions keep many IT and security administrators up at night. The goal of data loss prevention (DLP) is to give administrators the desired visibility and control over their sensitive data.

We shipped the general availability of DLP in September 2022, offering Cloudflare One customers better protection of their sensitive data. With DLP, customers can identify sensitive data in their corporate traffic, evaluate the intended destination of the data, and then allow or block it accordingly — with details logged as permitted by your privacy and sovereignty requirements. We began by offering customers predefined detections for identifier numbers (e.g. Social Security #s) and financial information (e.g. credit card #s). Since then, nearly every customer has asked:

“When can I build my own detections?”

Most organizations care about credit card numbers, which use standard patterns that are easily detectable. But the data patterns of intellectual property or trade secrets vary widely between industries and companies, so customers need a way to detect the loss of their unique data. This can include internal project names, unreleased product names, or unannounced partner names.

As of today, your organization can build custom detections to identify these types of sensitive data using Cloudflare One. That’s right, today you are able to build Custom DLP Profile using the same regular expression approach that is used in policy building across our platform.

How to use it

Cloudflare’s DLP is embedded in our secure web gateway (SWG) product, Cloudflare Gateway, which routes your corporate traffic through Cloudflare for fast, safe Internet browsing. As your traffic passes through Cloudflare, you can inspect that HTTP traffic for sensitive data and apply DLP policies.

Building DLP custom profiles follows the same intuitive approach you’ve come to expect from Cloudflare.

First, once within the Zero Trust dashboard, navigate to the DLP Profiles tab under Gateway:

Announcing Custom DLP profiles

Here you will find any available DLP profiles, either predefined or custom:

Announcing Custom DLP profiles

Select to Create Profile to begin a new one.  After providing a name and description, select Add detection entry to add a custom regular expression. A regular expression, or regex, is a sequence of characters that specifies a search pattern in text, and is a standard way for administrators to achieve the flexibility and granularity they need in policy building.

Cloudflare Gateway currently supports regexes in HTTP policies using the Rust regex crate. For consistency, we used the same crate to offer custom DLP detections. For documentation on our regex support, see our documentation.

Regular expressions can be used to build custom PII detections of your choosing, such as email addresses, or to detect keywords for sensitive intellectual property.

Announcing Custom DLP profiles

Provide a name and a regex of your choosing. Every entry in a DLP profile is a new detection that you can scan for in your corporate traffic. Our documentation provides resources to help you create and test Rust regexes.

Below is an example of regex to detect a simple email address:

Announcing Custom DLP profiles

When you are done, you will see the entry in your profile.  You can turn entries on and off in the Status field for easier testing.

Announcing Custom DLP profiles

The custom profile can then be applied to traffic using an HTTP policy, just like a predefined profile. Here both a predefined and custom profile are used in the same policy, blocking sensitive traffic to dlptest.com:

Announcing Custom DLP profiles

Our DLP roadmap

This is just the start of our DLP journey, and we aim to grow the product exponentially in the coming quarters. In Q4 we delivered:

  • Expanded Predefined DLP Profiles
  • Custom DLP Profiles
  • PDF scanning support
  • Upgraded file name logging

Over the next quarters, we will add a number of features, including:

  • Data at rest scanning with Cloudflare CASB
  • Minimum DLP match counts
  • Microsoft Sensitivity Label support
  • Exact Data Match (EDM)
  • Context analysis
  • Optical Character Recognition (OCR)
  • Even more predefined DLP detections
  • DLP analytics
  • Many more!

Each of these features will offer you new data visibility and control solutions, and we are excited to bring these features to customers very soon.

How do I get started?

DLP is part of Cloudflare One, our Zero Trust network-as-a-service platform that connects users to enterprise resources. Our GA blog announcement provides more detail about using Cloudflare One to onboard traffic to DLP.

To get access to DLP via Cloudflare One, reach out for a consultation, or contact your account manager.

Cloudflare Data Loss Prevention now Generally Available

Post Syndicated from Noelle Gotthardt original https://blog.cloudflare.com/inline-dlp-ga/

Cloudflare Data Loss Prevention now Generally Available

This post is also available in 简体中文, 日本語, Deutsch, Français and Español.

Cloudflare Data Loss Prevention now Generally Available

In July 2022, we announced beta access to our newest Zero Trust product, Data Loss Prevention (DLP). Today, we are even more excited to announce that DLP is Generally Available to customers! Any customer can now get visibility and control of sensitive data moving into, out of, and around their corporate network. If you are interested, check out the bottom of this post.

What is DLP?

Data Loss Prevention helps you overcome one of their biggest challenges: identifying and protecting sensitive data. The migration to the cloud has made tracking and controlling sensitive information more difficult than ever. Employees are using an ever-growing list of tools to manipulate a vast amount of data. Meanwhile, IT and security managers struggle to identify who should have access to sensitive data, how that data is stored, and where that data is allowed to go.

Data Loss Prevention enables you to protect your data based on its characteristics, such as keywords or patterns. As traffic moves into and out of corporate infrastructure, the traffic is inspected for indicators of sensitive data. If the indicators are found, the traffic is allowed or blocked based on the customers’ rules.

The most common use for DLP is the protection of Personally Identifiable Information (PII), but many customers are interested in protecting intellectual property, source code, corporate financial information, or any other information vital to the business. Proper data usage can include who used the data, where the data was sent, and how the data is stored.

How does DLP see my corporate traffic?

DLP is part of Cloudflare One, our Zero Trust network-as-a-service platform that connects users to enterprise resources. Cloudflare One runs traffic from data centers, offices, and remote users, through the Cloudflare network. This offers a wide variety of opportunities to secure the traffic, including validating identity and device posture, filtering corporate traffic to protect from malware and phishing, checking the configurations on SaaS applications, and using Browser Isolation to make web surfing safer for employees. All of this is done with the performance of our global network and managed with one control plane.

Cloudflare Data Loss Prevention now Generally Available

How does it work?

DLP leverages the HTTP filtering abilities of Cloudflare One. As your traffic runs through our network, you can apply rules and route traffic based on information in the HTTP request. There are a wide variety of options for filtering, such as domain, URL, application, HTTP method, and many more. You can use these options to segment the traffic you wish to DLP inspect.

When DLP is applied, the relevant HTTP requests are decompressed, decoded, and scanned for regex matches. Numeric regex matches are then algorithmically validated when possible, such as with checksum calculations or Luhn’s algorithm. However, some numeric detections do not adhere to algorithmic validation, such as US Social Security numbers.

If sensitive data is identified by the detection, the data transfer can be allowed or blocked according to the customer’s ruleset.

How do I use it?

Let’s dive further in to see how this all actually comes to life. To use DLP in the Zero Trust Dashboard, navigate to the DLP Profiles tab under Gateway:

Cloudflare Data Loss Prevention now Generally Available

Decide on the type of data you want to protect. We currently detect credit card numbers and US Social Security numbers, but this is where we intend to grow a robust library of DLP detections.  Our next steps are custom and additional predefined detections, including more international identifiers and financial record numbers, which will be arriving soon.

When you have decided, select Configure to enable detections:

Cloudflare Data Loss Prevention now Generally Available

Enable the detections you want to use. As described above, these card number detections are made using regexes and validated with Luhn’s algorithm. You can make numeric detections for card numbers or detect strings matching card names, such as “American Express.”

Cloudflare Data Loss Prevention now Generally Available

Then apply the detections to a Gateway HTTP policy on the traffic of your choosing. Here we applied DLP to Google Drive traffic. This policy will block uploads and downloads to Google Drive that contain US Social Security Numbers.

Cloudflare Data Loss Prevention now Generally Available

Holistic data protection with Cloudflare Zero Trust

Inspecting HTTP traffic for the presence of sensitive data with DLP is one critical way organizations can reduce the risk of data exfiltration, strengthen regulatory compliance, and improve overall data governance.

Implementing DLP is just one step towards a more holistic approach to securing data.

To that end, our Cloudflare Zero Trust platform offers more comprehensive controls over how any user on any device accesses and interacts with data – all from a single management interface:

We have architected our DLP service to work seamlessly with these ZTNA, SWG, CASB, and other security services. As we continue to deepen our DLP capabilities, this platform approach uniquely equips us to address our customers’ needs with flexibility.

Get Access to Data Loss Prevention

To get access to DLP, reach out for a consultation, or contact your account manager.

Announcing Gateway + CASB

Post Syndicated from Corey Mahan original https://blog.cloudflare.com/announcing-gateway-and-casb/

Announcing Gateway + CASB

This post is also available in 简体中文, 日本語, Español.

Announcing Gateway + CASB

Shadow IT and managing access to sanctioned or unsanctioned SaaS applications remain one of the biggest pain points for IT administrators in the era of the cloud.

We’re excited to announce that starting today, Cloudflare’s Secure Web Gateway and our new API-driven Cloud Access Security Broker (CASB) work seamlessly together to help IT and security teams go from finding Shadow IT to fixing it in minutes.

Detect security issues within SaaS applications

Cloudflare’s API-driven CASB starts by providing comprehensive visibility into SaaS applications, so you can easily prevent data leaks and compliance violations. Setup takes just a few clicks to integrate with your organization’s SaaS services, like Google Workspace and Microsoft 365. From there, IT and security teams can see what applications and services their users are logging into and how company data is being shared.

So you’ve found the issues. But what happens next?

Identify and detect, but then what?

Customer feedback from the API-driven CASB beta has followed a similar theme: it was super easy to set up and detect all my security issues, but how do I fix this stuff?

Almost immediately after investigating the most critical issues, it makes sense to want to start taking action. Whether it be detecting an unknown application being used for Shadow IT or wanting to limit functionality, access, or behaviors to a known but unapproved application, remediation is front of mind.

This led to customers feeling like they had a bunch of useful data in front of them, but no clear action to take to get started on fixing them.

Create Gateway policies from CASB security findings

To solve this problem, we’re allowing you to easily create Gateway policies from CASB security findings. Security findings are issues detected within SaaS applications that involve users, data at rest, and settings that are assigned a Low, Medium, High or Critical severity per integration.

Using the security findings from CASB allows for fine-grained Gateway policies which prevent future unwanted behavior while still allowing usage that aligns to company security policy. This means going from viewing a CASB security issue, like the use of an unapproved SaaS application, to preventing or controlling access in minutes. This seamless cross-product experience all happens from a single, unified platform.

For example, take the CASB Google Workspace security finding around third-party apps which detects sign-ins or other permission sharing from a user’s account. In just a few clicks, you can create a Gateway policy to block some or all of the activity, like uploads or downloads, to the detected SaaS application. This policy can be applied to some or all users, based on what access has been granted to the user’s account.

By surfacing the exact behavior with CASB, you can take swift and targeted action to better protect your organization with Gateway.

Announcing Gateway + CASB

Get started today with the Cloudflare One

This post highlights one of the many ways the Cloudflare One suite of solutions work seamlessly together as a unified platform to find and fix security issues across SaaS applications.

Get started now with Cloudflare’s Secure Web Gateway by signing up here. Cloudflare’s API-driven CASB is in closed beta with new customers being onboarded each week. You can request access here to try out this exciting new cross-product feature.

Launching In-Line Data Loss Prevention

Post Syndicated from Noelle Gotthardt original https://blog.cloudflare.com/inline-data-loss-prevention/

Launching In-Line Data Loss Prevention

Launching In-Line Data Loss Prevention

Data Loss Prevention (DLP) enables you to protect your data based on its characteristics — or what it is. Today, we are very excited to announce that Data Loss Prevention is arriving as a native part of the Cloudflare One platform. If you’re interested in early access, please see the bottom of this post!

In the process of building Cloudflare One’s DLP solution, we talked to customers of all sizes and across dozens of industries. We focused on learning about their experiences, what products they are using, and what solutions they lack. The answers revealed significant customer challenges and frustrations. We are excited to deliver a product to put those problems in the past — and to do so as part of a comprehensive Zero Trust solution.

Customers are struggling to understand their data flow

Some customers have been using DLP solutions in their organizations for many years. They have deployed endpoint agents, crafted custom rulesets, and created incident response pipelines. Some built homemade tools to trace credit card numbers on the corporate network or rulesets to track hundreds of thousands of exact data match hashes.

Meanwhile, other customers are brand new to the space. They have small, scrappy teams supporting many IT and security functions. They do not have readily available resources to allocate to DLP and do not want to deprioritize other work to get started.

Still, many told the same story: the meteoric rise of SaaS tools left them unsure of where their data is moving and living. The migration of data off of corporate servers and into the cloud resulted in a loss of visibility and control. Even teams with established data protection programs strive for better visibility on the network. They are all asking the same types of questions:

  • Where is the data going?
  • Are uploads and downloads moving to and from corporate or personal SaaS instances?
  • What applications are storing sensitive data?
  • Who has access to those applications?
  • Can we see and block large downloads from file repositories?

Many customers seem to feel as though they have fallen behind because they haven’t solved these problems — and yet many customers are reporting the exact same story. However, these struggles do not mean anyone is behind — just that a better solution is needed. This told us that building a DLP product was the right choice, but why build it within Cloudflare One?

Launching In-Line Data Loss Prevention

How Data Loss Prevention ties in to Zero Trust

A Zero Trust network architecture is fundamentally designed to secure your data. By checking every attempt to access a protected app, machine, or remote desktop, your data is protected on the basis of identity and device posture. With DNS and HTTP filtering, your data is protected based on content category and reputation. By adding an API-driven CASB, your data is protected based on your applications’ configurations, too.

With each piece of the architecture, your data is protected based on a new identifier. The identifiers above help you understand: who accessed the data, who owned the device that accessed it, where the data went, and how the destination was configured. However, what was the data that was moved?

Data Loss Prevention enables you to protect your data based on its characteristics, or what it is. For example, sensitive or confidential data can be identified a number of ways, such as keywords, patterns, or file types. These indicators help you understand the information being transmitted across or out of the network.

With DLP embedded in Cloudflare One, you can combine these identifiers to create rules catered to your organization. You get to specify the who, how, where, and what that meets your needs. We aim to deliver a comprehensive, detailed understanding of your network and your data, as well as allow you to easily implement protection.

How It Works

First: Identify the Data

DLP Profiles are being added to the Zero Trust dashboard. These profiles are where you define what data you want to protect. You will be able to add keywords and craft regexes to identify the presence of sensitive data. Profiles for common detections, such as credit card numbers, will be provided by Cloudflare.

Next: Create an HTTP Policy

After configuring a DLP Profile, you can then create a Cloudflare Gateway HTTP policy to allow or block the sensitive data from leaving your organization. Gateway will parse and scan your HTTP traffic for strings matching the keywords or regexes specified in the DLP profile.

Why Cloudflare

We know DLP is a big challenge to do comprehensively, and at scale. Those are the types of problems we excel at. Our network securely delivers traffic to 95% of the world’s Internet connected population within 50ms. It also supports our market leading products that send and protect customer traffic at unimaginable speed and scale. We are using that powerful network and our experience solving problems like this to take on Data Loss Prevention, and we’re very excited by our results

Join the waitlist

We are launching a closed beta of our Data Loss Prevention product. If you’re interested in early access, you can join the waitlist today by filling out this form.

What’s next?

We’re just getting started with DLP! We already have many plans for growth and integration with other Cloudflare One products, such as Remote Browser Isolation.