Announcing two highly requested DLP enhancements: Optical Character Recognition (OCR) and Source Code Detections

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.

These capabilities are available now within our DLP engine, which is just one of several Cloudflare services, including cloud access security broker (CASB), Zero Trust network access (ZTNA), secure web gateway (SWG), remote browser isolation (RBI), and cloud email security, that help organizations protect data everywhere across web, SaaS, and private applications.

About Optical Character Recognition (OCR)

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 Continue reading

Introducing behavior-based user risk scoring in Cloudflare One

Cloudflare One, our secure access service edge (SASE) platform, is introducing new capabilities to detect risk based on user behavior so that you can improve security posture across your organization.

Traditionally, security and IT teams spend a lot of time, labor, and money analyzing log data to track how risk is changing within their business and to stay on top of threats. Sifting through such large volumes of data – the majority of which may well be benign user activity – can feel like finding a needle in a haystack.

Cloudflare’s approach simplifies this process with user risk scoring. With AI/machine learning techniques, we analyze the real-time telemetry of user activities and behaviors that pass through our network to identify abnormal behavior and potential indicators of compromises that could lead to danger for your organization, so your security teams can lock down suspicious activity and adapt your security posture in the face of changing risk factors and sophisticated threats.

User risk scoring

The concept of trust in cybersecurity has evolved dramatically. The old model of "trust but verify" has given way to a Zero Trust approach, where trust is never assumed and verification is continuous, as each network request Continue reading

DLP Exact Data Match beta now available

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 Continue reading

Cloudflare One DLP integrates with Microsoft Information Protection labels

The crown jewels for an organization are often data, and the first step in protection should be locating where the most critical information lives. Yet, maintaining a thorough inventory of sensitive data is harder than it seems and generally a massive lift for security teams. To help overcome data security troubles, Microsoft offers their customers data classification and protection tools. One popular option are the sensitivity labels available with Microsoft Purview Information Protection. However, customers need the ability to track sensitive data movement even as it migrates beyond the visibility of Microsoft.

Today, we are excited to announce that Cloudflare One now offers Data Loss Prevention (DLP) detections for Microsoft Purview Information Protection labels. Simply integrate with your Microsoft account, retrieve your labels, and build rules to guide the movement of your labeled data. This extends the power of Microsoft’s labels to any of your corporate traffic in just a few clicks.

Data Classification with Microsoft Labels

Every organization has a wealth of data to manage, from publicly accessible data, like documentation, to internal data, like the launch date of a new product. Then, of course, there is the data requiring the highest levels of protection, such as customer PII. Continue reading