We are excited to announce two enhancements to Cloudflare’s Data Loss Prevention (DLP) service: support for Optical Character Recognition (OCR) and predefined source code detections. These two highly requested DLP features make it easier for organizations to protect their sensitive data with granularity and reduce the risks of breaches, regulatory non-compliance, and reputational damage:
With OCR, customers can efficiently identify and classify sensitive information contained within images or scanned documents.
With predefined source code detections, organizations can scan inline traffic for common code languages and block those HTTP requests to prevent data leaks, as well as detecting the storage of code in repositories such as Google Drive.
OCR enables the extraction of text from images. It converts the text within those images into readable text data that can be easily edited, searched, or analyzed, unlike images.
Sensitive data regularly appears in image files. For example, employees are often asked to provide images of identification cards, passports, or documents as proof of identity or work status. Those images can contain a plethora of sensitive and regulated classes of data, including Personally Identifiable Information (PII) — for example, passport numbers, driver’s license numbers, birthdates, tax identification numbers, and much more.
OCR can be leveraged within DLP policies to prevent the unauthorized sharing or leakage of sensitive information contained within images. Policies can detect when sensitive text content is being uploaded to cloud storage or shared through other communication channels, and block the transaction to prevent data loss. This assists in enforcing compliance with regulatory requirements related to data protection and privacy.
About source code detection
Source code fuels digital business and contains high-value intellectual property, including proprietary algorithms and encrypted secrets about a company’s infrastructure. Source code has been and will continue to be a target for theft by external attackers, but customers are also increasingly concerned about the inadvertent exposure of this information by internal users. For example, developers may accidentally upload source code to a publicly available GitHub repository or to generative AI tools like ChatGPT. While these tools have their place (like using AI to help with debugging), security teams want greater visibility and more precise control over what data flows to and from these tools.
To help customers, Cloudflare now offers predefined DLP profiles for common code languages — specifically C, C++, C#, Go, Haskell, Java, Javascript, Lua, Python, R, Rust, and Swift. These machine learning-based detections train on public repositories for algorithm development, ensuring they remain up to date. Cloudflare’s DLP inspects the HTTP body of requests for these DLP profiles, and security teams can block traffic accordingly to prevent data leaks.
How to use these capabilities
Cloudflare offers you flexibility to determine what data you are interested in detecting via DLP policies. You can use predefined profiles created by Cloudflare for common types of sensitive or regulated data (e.g. credentials, financial data, health data, identifiers), or you can create your own custom detections.
To implement inline blocking of source code, simply select the DLP profiles for the languages you want to detect. For example, if my organization uses Rust, Go, and JavaScript, I would turn on those detections:
I would then create a blocking policy via our secure web gateway to prevent traffic containing source code. Here, we block source code from being uploaded to ChatGPT:
Adding OCR to any detection is similarly easy. Below is a profile looking for sensitive data that could be stored in scanned documents.
With the detections selected, simply enable the OCR toggle, and wherever you are applying DLP inspections, images in your content will be scanned for sensitive data. The detections work the same in images as they do in the text, including Match Counts and Context Analysis, so no additional logic or settings are needed.
Consistency across use cases is a core principle of our DLP solution, so as always, this feature is available for both data at rest, available via CASB, and data in transit, available via Gateway.
Data continues to explode in volume, variety, and velocity, and security teams at organizations of all sizes are challenged to keep up. Businesses face escalating risks posed by varied SaaS environments, the emergence of generative artificial intelligence (AI) tools, and the exposure and theft of valuable source code continues to keep CISOs and Data Officers up at night.
Over the past few years, Cloudflare has launched capabilities to help organizations navigate these risks and gain visibility and controls over their data — including the launches of our data loss prevention (DLP) and cloud access security broker (CASB) services in the fall of 2022.
Announcing Cloudflare One’s data protection suite
Today, we are building on that momentum and announcing Cloudflare One for Data Protection — our unified suite to protect data everywhere across web, SaaS, and private applications. Built on and delivered across our entire global network, Cloudflare One’s data protection suite is architected for the risks of modern coding and increased usage of AI.
A separate blog post published today looks back on what technologies and features we delivered over the past year and previews new functionality that customers can look forward to.
In this blog, we focus more on what impact those technologies and features have for customers in addressing modern data risks — with examples of practical use cases. We believe that Cloudflare One is uniquely positioned to deliver better data protection that addresses modern data risks. And by “better,” we mean:
Helping security teams be more effective protecting data by simplifying inline and API connectivity together with policy management
Helping employees be more productive by ensuring fast, reliable, and consistent user experiences
Helping organizations be more agile by innovating rapidly to meet evolving data security and privacy requirements
Harder than ever to secure data
Data spans more environments than most organizations can keep track of. In conversations with customers, three distinctly modern risks stick out:
The growing diversity of cloud and SaaS environments: The apps where knowledge workers spend most of their time — like cloud email inboxes, shared cloud storage folders and documents, SaaS productivity and collaboration suites like Microsoft 365 — are increasingly targeted by threat actors for data exfiltration.
Emerging AI tools: Business leaders are concerned about users oversharing sensitive information with opaque large language model tools like ChatGPT, but at the same time, want to leverage the benefits of AI.
Source code exposure or theft: Developer code fuels digital business, but that same high-value source code can be exposed or targeted for theft across many developer tools like GitHub, including in plain sight locations like public repositories.
These latter two risks, in particular, are already intersecting. Companies like Amazon, Apple, Verizon, Deutsche Bank, and more are blocking employees from using tools like ChatGPT for fear of losing confidential data, and Samsung recently had an engineer accidentally upload sensitive code to the tool. As organizations prioritize new digital services and experiences, developers face mounting pressure to work faster and smarter. AI tools can help unlock that productivity, but the long-term consequences of oversharing sensitive data with these tools is still unknown.
All together, data risks are only primed to escalate, particularly as organizations accelerate digital transformation initiatives with hybrid work and development continuing to expand attack surfaces. At the same time, regulatory compliance will only become more demanding, as more countries and states adopt more stringent data privacy laws.
Traditional DLP services are not equipped to keep up with these modern risks. A combination of high setup and operational complexity plus negative user experiences means that, in practice, DLP controls are often underutilized or bypassed entirely. Whether deployed as a standalone platform or integrated into security products or SaaS applications, DLP products can often become expensive shelfware. And backhauling traffic through on-premise data protection hardware – whether, DLP, firewall and SWG appliances, or otherwise — create costs and slow user experiences that hold businesses back in the long run.
Figure 1: Modern data risks
How customers use Cloudflare for data protection
Today, customers are increasingly turning to Cloudflare to address these data risks, including a Fortune 500 natural gas company, a major US job site, a regional US airline, an Australian healthcare company and more. Across these customer engagements, three use cases are standing out as common focus areas when deploying Cloudflare One for data protection.
Use case #1: Securing AI tools and developer code (Applied Systems)
Applied Systems, an insurance technology & software company, recently deployed Cloudflare One to secure data in AI environments.
Specifically, the company runs the public instance of ChatGPT in an isolated browser, so that the security team can apply copy-paste blocks: preventing users from copying sensitive information (including developer code) from other apps into the AI tool. According to Chief Information Security Officer Tanner Randolph, “We wanted to let employees take advantage of AI while keeping it safe.”
This use case was just one of several Applied Systems tackled when migrating from Zscaler and Cisco to Cloudflare, but we see a growing interest in securing AI and developer code among our customers.
Use case #2: Data exposure visibility
Customers are leveraging Cloudflare One to regain visibility and controls over data exposure risks across their sprawling app environments. For many, the first step is analyzing unsanctioned app usage, and then taking steps to allow, block, isolate, or apply other controls to those resources. A second and increasingly popular step is scanning SaaS apps for misconfigurations and sensitive data via a CASB and DLP service, and then taking prescriptive steps to remediate via SWG policies.
A UK ecommerce giant with 7,5000 employees turned to Cloudflare for this latter step. As part of a broader migration strategy from Zscaler to Cloudflare, this company quickly set up API integrations between its SaaS environments and Cloudflare’s CASB and began scanning for misconfigurations. Plus, during this integration process, the company was able to sync DLP policies with Microsoft Pureview Information Protection sensitivity labels, so that it could use its existing framework to prioritize what data to protect. All in all, the company was able to begin identifying data exposure risks within a day.
Use case #3: Compliance with regulations
Comprehensive data regulations like GDPR, CCPA, HIPAA, and GLBA have been in our lives for some time now. But new laws are quickly emerging: for example, 11 U.S. states now have comprehensive privacy laws, up from just 3 in 2021. And updates to existing laws like PCI DSS now include stricter, more expansive requirements.
Customers are increasingly turning to Cloudflare One for compliance, in particular by ensuring they can monitor and protect regulated data (e.g. financial data, health data, PII, exact data matches, and more). Some common steps include first, detecting and applying controls to sensitive data via DLP, next, maintaining detailed audit trails via logs and further SIEM analysis, and finally, reducing overall risk with a comprehensive Zero Trust security posture.
Let’s look at a concrete example. One Zero Trust best practice that is increasingly required is multi-factor authentication (MFA). In the payment cards industry, PCI DSS v4.0, which takes effect in 2025, requires that requests to MFA be enforced for every access request to the cardholder data environment, for every user and for every location – including cloud environments, on-prem apps, workstations and more. (requirement 8.4.2). Plus, those MFA systems must be configured to prevent misuse – including replay attacks and bypass attempts – and must require at least two different factors that must be successful (requirement 8.5). To help organizations comply with both of these requirements, Cloudflare helps organizations enforce MFA across all apps and users – and in fact, we use our same services to enforce hard key authentication for our own employees.
Figure 2: Data protection use cases
The Cloudflare difference
Cloudflare One’s data protection suite is built to stay at the forefront of modern data risks to address these and other evolving use cases.
With Cloudflare, DLP is not just integrated with other typically distinct security services, like CASB, SWG, ZTNA, RBI, and email security, but converged onto a single platform with one control plane and one interface. Beyond the acronym soup, our network architecture is really what enables us to help organizations be more effective, more productive, and more agile with protecting data.
We simplify connectivity, with flexible options for you to send traffic to Cloudflare for enforcement. Those options include API-based scans of SaaS suites for misconfigurations and sensitive data. Unlike solutions that require security teams to get full app permissions from IT or business teams, Cloudflare can find risk exposure with read-only app permissions. Clientless deployments of ZTNA to secure application access and of browser isolation to control data within websites and apps are scalable for all users — employees and third-parties like contractors — for the largest enterprises. And when you do want to forward proxy traffic, Cloudflare offers one device client with self-enrollment permissions or wide area network on-ramps across security services. With so many practical ways to deploy, your data protection approach will be effective and functional — not shelfware.
Just like your data, our global network is everywhere, now spanning over 300 cities in over 100 countries. We have proven that we enforce controls faster than vendors like Zscaler, Netskope, and Palo Alto Networks — all with single-pass inspection. We ensure security is quick, reliable, and unintrusive, so you can layer on data controls without disruptive work productivity.
Our programmable network architecture enables us to build new capabilities quickly. And we rapidly adopt new security standards and protocols (like IPv6-only connections or HTTP/3 encryption) to ensure data protection remains effective. Altogether, this architecture equips us to evolve alongside changing data protection use cases, like protecting code in AI environments, and quickly deploy AI and machine learning models across our network locations to enforce higher precision, context-driven detections.
Figure 3: Unified data protection with Cloudflare
How to get started
Modern data risks demand modern security. We feel that Cloudflare One’s unified data protection suite is architected to help organizations navigate their priority risks today and in the future — whether that is securing developer code and AI tools, regaining visibility over SaaS apps, or staying compliant with evolving regulations.
If you’re ready to explore how Cloudflare can protect your data, request a workshop with our experts today.
In the announcement post, we focused on how the data protection suite helps customers navigate modern data risks, with recommended use cases and real-world customer examples.
In this companion blog post, we recap the capabilities built into the Cloudflare One suite over the past year and preview new functionality that customers can look forward to. This blog is best for practitioners interested in protecting data and SaaS environments using Cloudflare One.
DLP & CASB capabilities launched in the past year
Cloudflare launched both DLP and CASB services in September 2022, and since then have rapidly built functionality to meet the growing needs of our organizations of all sizes. Before previewing how these services will evolve, it is worth recapping the many enhancements added in the past year.
Cloudflare’s DLP solution helps organizations detect and protect sensitive data across their environment based on its several characteristics. DLP controls can be critical in preventing (and detecting) damaging leaks and ensuring compliance for regulated classes of data like financial, health, and personally identifiable information.
Improvements to DLP detections and policies can be characterized by three major themes:
Customization: making it easy for administrators to design DLP policies with the flexibility they want.
Deep detections: equipping administrators with increasingly granular controls over what data they protect and how.
Detailed detections: providing administrators with more detailed visibility and logs to analyze the efficacy of their DLP policies.
Cloudflare’s CASB helps organizations connect to, scan, and monitor third-party SaaS applications for misconfigurations, improper data sharing, and other security risks — all via lightweight API integrations. In this way, organizations can regain visibility and controls over their growing investments in SaaS apps.
CASB product enhancements can similarly be summarized by three themes:
Expanding API integrations: Today, our CASB integrates with 18 of the most popular SaaS apps — Microsoft 365 (including OneDrive), Google Workspace (including Drive), Salesforce, GitHub, and more. Setting up these API integrations takes fewer clicks than first-generation CASB solutions, with comparable coverage to other vendors in the Security Services Edge (SSE) space.
Strengthening findings of CASB scans: We have made it easier to remediate the misconfigurations identified by these CASB scans with both prescriptive guides and in-line policy actions built into the dashboard.
Converging CASB & DLP functionality: We started enabling organizations to scan SaaS apps for sensitive data, as classified by DLP policies. For example, this helps organizations detect when credit cards or social security numbers are in Google documents or spreadsheets that have been made publicly available to anyone on the Internet.
This last theme, in particular, speaks to the value of unifying data protection capabilities on a single platform for simple, streamlined workflows. The below table highlights some major capabilities launched since our general availability announcements last September.
Table 1: Select DLP and CASB capabilities shipped since 2022 Q4
After a quick API integration, Cloudflare syncs continuously with the Microsoft Information Protection (MIP) labels you already use to streamline how you build DLP policies.
Administrators can create custom detections using the same regex policy builder used across our entire Zero Trust platform for a consistent configuration experience across services.
Administrators can set minimum thresholds for the number of times a detection is made before an action (like block or log) is triggered. This way, customers can create policies that allow individual transactions but block up/downloads with high volumes of sensitive data.
Context analysis helps reduce false positive detections by analyzing proximity keywords (for example: seeing “expiration date” near a credit card number increases the likelihood of triggering a detection).
Cloudflare now captures more wide-ranging and granular details of DLP-related activity in logs, including payload analysis, file names, and higher fidelity details of individual files. A large percentage of our customers prefer to push these logs to SIEM tools like DataDog and Sumo Logic.
Today, Cloudflare integrates with 18 of the most widely used SaaS apps, including productivity suites, cloud storage, chat tools, and more. API-based scans not only reveal misconfigurations, but also offer built-in HTTP policy creation workflows and step-by-step remediation guides.
Today, organizations can set up CASB to scan every publicly accessible file in Google Workspace for text that matches a DLP profile (financial data, personal identifiers, etc.).
New and upcoming DLP & CASB functionality
Today’s launch of Cloudflare One’s data protection suite crystalizes our commitment to keep investing in DLP and CASB functionality across these thematic areas. Below we wanted to preview a few new and upcoming capabilities on the Cloudflare One’s data protection suite roadmap that will become available in the coming weeks for further visibility and controls across data environments.
Exact data matching with custom wordlists
Already shipped: Exact Data Match, moves from out of beta to general availability, allowing customers to tell Cloudflare’s DLP exactly what data to look for by uploading a dataset, which could include names, phone numbers, or anything else.
Next 30 days: Customers will soon be able to upload a list of specific words, create DLP policies to search for those important keywords in files, and block and log that activity.
How customers benefit: Administrators can be more specific about what they need to protect and save time creating policies by bulk uploading the data and terms that they care most about. Over time, many organizations have amassed long lists of terms configured for incumbent DLP services, and these customizable upload capabilities streamline migration from other vendors to Cloudflare. Just as with all other DLP profiles, Cloudflare searches for these custom lists and keywords within in-line traffic and in integrated SaaS apps.
Detecting source code and health data
Next 30 days: Soon, Clouflare’s DLP will include predefined profiles to detect developer source code and protected health information (PHI). Initially, code data will include languages like Python, Javascript, Java, and C++ — four of the most popular languages today — and PHI data will include medication and diagnosis names — two highly sensitive medical topics.
How customers benefit: These predefined profiles expand coverage to some of the most valuable — and in the case of PHI, one of the most regulated — types of data within an organization.
Converging API-driven CASB & DLP for data-at-rest protections
Next 30 days: Soon, organizations will be able to scan for sensitive data at rest in Microsoft 365 (e.g. OneDrive). API-based scans of these environments will flag, for example, whether credit card numbers, source code, or other data configured via DLP policies reside within publicly accessible files. Administrators can then take prescriptive steps to remediate via in-line CASB gateway policies.
Shipping by the end of the year: Within the next few months, this same integration will be available with GitHub.
How customers benefit: Between the existing Google Workspace integration and this upcoming Microsoft 365 integration, customers can scan for sensitive data across two of the most prominent cloud productivity suites — where users spend much of their time and where large percentages of organizational data lives. This new Microsoft integration represents a continued investment in streamlining security workflows across the Microsoft ecosystem — whether for managing identity and application access, enforcing device posture, or isolating risky users.
The GitHub integration also restores visibility over one of the most critical developer environments that is also increasingly a risk for data leaks. In fact, according to GitGuardian, 10 million hard-coded secrets were exposed in public GitHub commits in 2022, a figure that is up 67% from 2021 and only expected to grow. Preventing source code exposure on GitHub is a problem area our product team regularly hears from our customers, and we will continue to prioritize securing developer environments.
Layering on Zero Trust context: User Risk Score
Next 30 days: Cloudflare will introduce a risk score based on user behavior and activities that have been detected across Cloudflare One’s services. Organizations will be able to detect user behaviors that introduce risk from action like an Impossible Travel anomaly or detections from too many DLP violations in a given period of time. Shortly following the detection capabilities will be the option to take preventative or remediative policy actions, within the wider Cloudflare One suite. In this way, organizations can control access to sensitive data and applications based on changing risk factors and real-time context.
How customers benefit: Today, intensive time, labor, and money are spent on analyzing large volumes of log data to identify patterns of risk. Cloudflare's ‘out-of-the-box’ risk score simplifies that process, helping organizations gain visibility into and lock down suspicious activity with speed and efficiency.
How to get started
These are just some of the capabilities on our short-term roadmap, and we can’t wait to share more with you as the data protection suite evolves. If you’re ready to explore how Cloudflare One can protect your data, request a workshop with our experts today.
The most famous data breaches–the ones that keep security practitioners up at night–involved the leak of millions of user records. Companies have lost names, addresses, email addresses, Social Security numbers, passwords, and a wealth of other sensitive information. Protecting this data is the highest priority of most security teams, yet many teams still struggle to actually detect these leaks.
Cloudflare’s Data Loss Prevention suite already includes the ability to identify sensitive data like credit card numbers, but with the volume of data being transferred every day, it can be challenging to understand which of the transactions that include sensitive data are actually problematic. We hear customers tell us, “I don’t care when one of my employees uses a personal credit card to buy something online. Tell me when one of my customers’ credit cards are leaked.”
In response, we looked for a method to distinguish between any credit card and one belonging to a specific customer. We are excited to announce the launch of our newest Data Loss Prevention feature, Exact Data Match. With Exact Data Match (EDM), customers securely tell us what data they want to protect, and then we identify, log, and block the presence or movement of that data. For example, if you provide us with a set of credit card numbers, we will DLP scan your traffic or repositories for only those cards. This allows you to create targeted DLP detections for your organization.
What is Exact Data Match?
Many Data Loss Prevention (DLP) detections begin with a generic identification of a pattern, often using a regular expression, and then are validated by additional criteria. Validation can leverage a wide range of techniques from checksums to machine learning models. However, this validates that the pattern is a credit card, not that it is your credit card.
With Exact Data Match, you tell us exactly the data you want to protect, but we never see it in cleartext. You provide a list of data of your choosing, such as a list of names, addresses, or credit card numbers, and that data is hashed before ever reaching Cloudflare. We store the hashes and scan your traffic or content for matches of the hashes. When we find a match, we log or block it according to your policy.
By using a finite list of data, we drastically reduce false positives compared to generic pattern matching. Meanwhile, hashing the data maintains your data privacy. Our goal is to meet your data protection and privacy needs.
How do I use it?
We now offer you the ability to upload DLP datasets. These allow you to provide batches of data to be used for your DLP detections.
When creating a dataset, provide a name, description, and a file containing the data to match.
When you upload the file, Cloudflare one-way hashes the data right in your browser. The hashed data is then transferred via API to Cloudflare, while the cleartext data never leaves the browser.
You can see the status of the upload in the datasets table.
The dataset can now be added to a DLP profile for detection. You can also add other predefined and custom entries to the same DLP profile.
Exact data match is now available for every DLP customer. If you are not a DLP customer but would like to learn more about Cloudflare One and DLP, reach out for a consultation.
What’s next?
Customers have many different formats to store data, and many different ways in which they want to monitor it. Our goal is to offer as much flexibility as your organization needs to meet your data protection goals.
Cloudflare’s Cloud Access Security Broker (CASB) scans SaaS applications for misconfigurations, unauthorized user activity, shadow IT, and other data security issues. Discovered security threats are called out to IT and security administrators for timely remediation, removing the burden of endless manual checks on a long list of applications.
But Cloudflare customers revealed they want more information available to assess the risk associated with a misconfiguration. A publicly exposed intramural kickball schedule is not nearly as critical as a publicly exposed customer list, so customers want them treated differently. They asked us to identify where sensitive data is exposed, reducing their assessment and remediation time in the case of leakages and incidents. With that feedback, we recognized another opportunity to do what Cloudflare does best: combine the best parts of our products to solve customer problems.
What’s underway now is an exciting effort to provide Zero Trust users a way to get the same DLP coverage for more than just sensitive data going over the network: SaaS DLP for data stored in popular SaaS apps used by millions of organizations.
With these upcoming capabilities, customers will be able to connect their SaaS applications in just a few clicks and scan them for sensitive data – such as PII, PCI, and even custom regex – stored in documents, spreadsheets, PDFs, and other uploaded files. This gives customers the signals to quickly assess and remediate major security risks.
Understanding CASB
Released in September, Cloudflare’s API CASB has already enabled organizations to quickly and painlessly deep-dive into the security of their SaaS applications, whether it be Google Workspace, Microsoft 365, or any of the other SaaS apps we support (including Salesforce and Box released today). With CASB, operators have been able to understand what SaaS security issues could be putting their organization and employees at risk, like insecure settings and misconfigurations, files shared inappropriately, user access risks and best practices not being followed.
“But what about the sensitive data stored inside the files we’re collaborating on? How can we identify that?”
Understanding DLP
Also released in September, Cloudflare DLP for data in-transit has provided users of Gateway, Cloudflare’s Secure Web Gateway (SWG), a way to manage and outright block the movement of sensitive information into and out of the corporate network, preventing it from landing in the wrong hands. In this case, DLP can spot sensitive strings, like credit card and social security numbers, as employees attempt to communicate them in one form or another, like uploading them in a document to Google Drive or sent in a message on Slack. Cloudflare DLP blocks the HTTP request before it reaches the intended application.
But once again we received the same questions and feedback as before.
“What about data in our SaaS apps? The information stored there won’t be visible over the network.”
CASB + DLP, Better Together
Coming in early 2023, Cloudflare Zero Trust will introduce a new product synergy that allows customers to peer into the files stored in their SaaS applications and identify any particularly sensitive data inside them.
Credit card numbers in a Google Doc? No problem. Social security numbers in an Excel spreadsheet? CASB will let you know.
With this product collaboration, Cloudflare will provide IT and security administrators one more critical area of security coverage, rounding out our data loss prevention story. Between DLP for data in-transit, CASB for file sharing monitoring, and even Remote Browser Isolation (RBI) and Area 1 for data in-use DLP and email DLP, respectively, organizations can take comfort in knowing that their bases are covered when it comes to data exfiltration and misuse.
While development continues, we’d love to hear how this kind of functionality could be used at an organization like yours. Interested in learning more about either of these products or what’s coming next? Reach out to your account manager or click here to get in touch if you’re not already using Cloudflare.
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:
Here you will find any available DLP profiles, either predefined or custom:
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.
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:
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.
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:
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.
By continuing to use the site, you agree to the use of cookies. more information
The cookie settings on this website are set to "allow cookies" to give you the best browsing experience possible. If you continue to use this website without changing your cookie settings or you click "Accept" below then you are consenting to this.
