Secure All Your Data with Unified DLP
With centralized DLP, it’s never been easier to secure all data channels with a single policy.
Overview
Welcome to the future of data security
Protect all data and users
Secure internet, email, endpoint, IaaS, private apps, and risk posture in one simple platform.
Secure email with ease
Quickly scale DLP to emails and attachments without configuration changes via SMTP relay.
Discover data automatically
Easily find data risks with AI-powered data discovery across endpoint, inline, and clouds.
Zscaler is a Leader in the IDC MarketScape Worldwide DLP 2025 Vendor Assessment
See why Zscaler was recognized.
The Problem
The needs of modern data have left legacy DLP solutions behind. With so much—and so many types—of data, security teams are buried in alerts and false positives. Worst, legacy DLP leaves critical gaps in visibility of distributed data, risking regulatory compliance issues and leaks.
- Can't discover and classify data across endpoint, inline, and cloud
- Can't effectively follow data or apply consistent security policy
- Can't scale to inspect TLS/SSL traffic (95% of web traffic)
Solution Overview
Unified DLP for web, endpoint, and email
Centralized policy
across web, endpoint, email, SaaS, public cloud, private apps, and BYOD
Identical protection
and enforcement, no matter the location or type of data
Scalable TLS/SSL
inspection from the world’s largest inline security cloud
Streamlined workflows
and operations with ML-powered data discovery
Zero-configuration data security
AI-powered data discovery
AI data security platform
Zscaler DLP is part of Zscaler Data Security, which provides consistent, unified security for data in motion and data at rest across SaaS and public cloud applications.
Advanced Features
Simplify policy and alerting with a unified approach
Gain control over data as it moves across endpoints and email. With centralized policies and a lightweight agent, ensure consistent alerting, accelerate response times, and reduce complexity associated with point products.
Improve detection accuracy with Exact Data Match (EDM)
Easily find and control any occurrence of specific data (e.g., employee records, customers’ personal data, credit card numbers) with EDM. Fingerprint sensitive data, improve detection accuracy, and reduce DLP false positives.
Protect sensitive documents with Indexed Document Matching (IDM)
Secure high-value documents that typically carry sensitive information with IDM. Fingerprint important forms (e.g., tax, medical, or manufacturing documents), and detect documents using those templates across all your cloud data channels.
Protect data in image files with optical character recognition (OCR)
Data can be more than just plain text—you need DLP that secures visual data as well. Scan images to classify data for files like PNGs and JPEGs as well as images embedded in other files (e.g., Word documents). OCR also works in tandem with EDM and IDM.
Internet Threat Exposure Analysis
Does your DLP program have you covered?
Run our no-cost assessment to instantly evaluate your defenses against common unauthorized access and exfiltration methods.
FAQ
DLP solutions include endpoint DLP, network DLP, and cloud DLP. Endpoint DLP protects sensitive data on devices like laptops and mobile phones, network DLP monitors data as it moves through networks, and cloud DLP solutions secure data stored in cloud services. Each addresses risks like data leaks or unauthorized access to sensitive information.
DLP is critical for preventing data breaches and protecting sensitive information like personally identifiable information (PII), financial data, protected health information (PHI), and intellectual property. It monitors data usage, enforces access control, and mitigates risks of data leaks across endpoints, networks, and cloud services. By securing valuable assets, DLP helps organizations maintain compliance and safeguard their reputation.
DLP solutions protect various types of sensitive data, including PII, financial data, PHI, and intellectual property. They safeguard data stored locally, transmitted across networks, or in cloud services. Using tools like machine learning, DLP detects and prevents data leaks, ensuring organizations minimize risks associated with unauthorized sharing or misuse.