Cloud Data Protection
Detect and protect sensitive data with AI-powered context across SaaS apps and collaboration tools like Microsoft 365, Google Workspace, Slack, and more.
Modern Cloud DLP
Organizations keep some of their most valuable assets in SaaS applications, from regulated data to intellectual property and other business-critical content. Effective cloud DLP helps teams identify, understand, and secure this sensitive data when it is being shared or moved.
Identify and alert on regulated and business-critical data activities in SaaS environments.
Combine content, behavior, and user context to reduce risky sharing, data leakage, and exposure.
Contain risk faster with automated remediation that minimize risky sharing and reduce manual effort.
The Cloud Complexity Challenge
Cloud services make it easy to create, share, and move data. But as sensitive data spreads across apps like Microsoft 365, Box, and Salesforce, maintaining visibility and control is a growing challenge.
Many organizations identify and protect regulated data using DLP based on static patterns, keywords, and rules. But accurately identifying business-critical content, like intellectual property and source code, is difficult without a deeper understanding of content and context.
BEHAVIOR-BASED DETECTION
Proofpoint Cloud DLP identifies risky data activity across cloud and SaaS apps, including AI tools, and automates remediation. By analyzing content, user behavior, and cross-channel threat intelligence, it determines whether risky activity is malicious, accidental, or the result of account compromise. When a violation is confirmed, Cloud DLP can automatically reduce permissions, lock accounts, and revoke risky OAuth access.
Features
See data movement across 1,200+ cloud apps and AI tools, on any managed or unmanaged device.
Spot unusual download volumes and unexpected data access relative to each user's normal behavior.
Lock accounts, revoke risky OAuth access, and contain compromised activity automatically.
DATA EXPOSURE MANAGEMENT
Identify sensitive files that are publicly shared, externally accessible, or exposed beyond intended audiences across Microsoft 365, Google Workspace, and more. As AI tools access these environments, overshared files increase data exposure risk. Cloud DLP surfaces overexposed files based on sensitivity and volume, and then automatically removes public links, revokes external access, and enforces sharing policies.
Features
Flag files with public links, external sharing, or org-wide access, including what AI tools reach.
Find business-specific content that predefined classifiers and rules were not built to catch.
Remove public links, revoke external access, and enforce sharing policies in bulk across files.
COMPLIANCE & GOVERNANCE
Identify regulated data across cloud and SaaS apps. Improve detection accuracy and reduce review noise with AI content understanding, exact data matching, and contextual policies. Investigate violations in a unified workbench, and export logs and forensics to your SIEM via REST APIs, giving compliance and legal teams the evidence they need for audits and regulatory response.
Features
Identify PII, PCI, PHI, and GDPR content using 240+ built-in classifiers and exact data matching.
Reduce review noise with AI content understanding, exact data matching, and context.
Investigate violations in a unified workbench, then export forensics to your SIEM for audit response.
WHY PROOFPOINT
| Capability | Legacy/On-Premises DLP | Proofpoint Cloud DLP |
|---|---|---|
| Data type coverage | Primarily focused on regulated and structured data | Protects regulated and business-critical content |
| Content classification | Relies on static patterns, keywords, and rules that require manual definition | Identifies document meaning and org-specific content types via automated AI classifiers |
| User behavior intelligence | Provides content-only detection with limited behavioral or threat context | Correlates content with user behavior and threat signals to determine if a user is compromised, malicious, or negligent |
| Cloud and device coverage | Built for on-premises environments; requires agents and adaptation for cloud | Delivers agentless coverage of SaaS apps and cloud environments, including unmanaged devices |
| Automated response | Primarily manual investigation and response | Removes shares, revokes access, locks accounts, and revokes OAuth access automatically |
| Policy operations | Uses siloed policies per channel, requiring separate management | Enforces consistent policies across cloud, email, web, and endpoint from a single platform |
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Recommended for You
Cloud DLP is a type of data loss prevention (DLP) designed for cloud environments. As a key component of cloud data security, it helps organizations discover, classify, and protect sensitive data across cloud applications, SaaS platforms, and collaboration tools. A cloud-based DLP solution can reduce data exposure and help prevent sensitive information from being lost, shared, or accessed by unauthorized users.
Traditional DLP often relies on patterns, keywords, and rules to identify sensitive data. Cloud DLP is designed for modern cloud environments and can use AI-powered classification, user context, and cloud activity to improve accuracy. This helps security teams identify both regulated data and business-critical content.
Cloud DLP can help protect regulated data such as personally identifiable information (PII), credit card numbers, and protected health information (PHI). It can also help protect intellectual property, source code, financial information, product plans, and other business-critical content.
Yes. Modern cloud DLP solutions can identify and protect intellectual property, source code, product plans, financial information, and other critical information. By understanding content and context, they can help security teams apply the right protections to high-value data.
Look for a cloud DLP solution that can protect both regulated data and business-critical content. Key capabilities include AI-powered classification, cloud-native coverage, support for SaaS applications, unified policies, and automated incident response. These features can improve protection while reducing manual effort.