Netskope debuts as a Leader in the 2024 Gartner® Magic Quadrant™️ for Single-Vendor Secure Access Service Edge Get the report

  • Why Netskope chevron

    Changing the way networking and security work together.

  • Our Customers chevron

    Netskope serves more than 3,400 customers worldwide including more than 30 of the Fortune 100

  • Our Partners chevron

    We partner with security leaders to help you secure your journey to the cloud.

A Leader in SSE.
Now a Leader in Single-Vendor SASE.

Learn why Netskope debuted as a leader in the 2024 Gartner® Magic Quadrant™️ for Single-Vendor Secure Access Service Edge

Get the report
Customer Visionary Spotlights

Read how innovative customers are successfully navigating today’s changing networking & security landscape through the Netskope One platform.

Get the eBook
Customer Visionary Spotlights
Netskope’s partner-centric go-to-market strategy enables our partners to maximize their growth and profitability while transforming enterprise security.

Learn about Netskope Partners
Group of diverse young professionals smiling
Your Network of Tomorrow

Plan your path toward a faster, more secure, and more resilient network designed for the applications and users that you support.

Get the white paper
Your Network of Tomorrow
Introducing the Netskope One Platform

Netskope One is a cloud-native platform that offers converged security and networking services to enable your SASE and zero trust transformation.

Learn about Netskope One
Abstract with blue lighting
Embrace a Secure Access Service Edge (SASE) architecture

Netskope NewEdge is the world’s largest, highest-performing security private cloud and provides customers with unparalleled service coverage, performance and resilience.

Learn about NewEdge
Netskope Cloud Exchange

The Netskope Cloud Exchange (CE) provides customers with powerful integration tools to leverage investments across their security posture.

Learn about Cloud Exchange
Netskope video
The platform of the future is Netskope

Intelligent Security Service Edge (SSE), Cloud Access Security Broker (CASB), Cloud Firewall, Next Generation Secure Web Gateway (SWG), and Private Access for ZTNA built natively into a single solution to help every business on its journey to Secure Access Service Edge (SASE) architecture.

Go to Products Overview
Netskope video
Next Gen SASE Branch is hybrid — connected, secured, and automated

Netskope Next Gen SASE Branch converges Context-Aware SASE Fabric, Zero-Trust Hybrid Security, and SkopeAI-powered Cloud Orchestrator into a unified cloud offering, ushering in a fully modernized branch experience for the borderless enterprise.

Learn about Next Gen SASE Branch
People at the open space office
Designing a SASE Architecture For Dummies

Get your complimentary copy of the only guide to SASE design you’ll ever need.

Get the eBook
Make the move to market-leading cloud security services with minimal latency and high reliability.

Learn about NewEdge
Lighted highway through mountainside switchbacks
Safely enable the use of generative AI applications with application access control, real-time user coaching, and best-in-class data protection.

Learn how we secure generative AI use
Safely Enable ChatGPT and Generative AI
Zero trust solutions for SSE and SASE deployments

Learn about Zero Trust
Boat driving through open sea
Netskope achieves FedRAMP High Authorization

Choose Netskope GovCloud to accelerate your agency’s transformation.

Learn about Netskope GovCloud
Netskope GovCloud
  • Resources chevron

    Learn more about how Netskope can help you secure your journey to the cloud.

  • Blog chevron

    Learn how Netskope enables security and networking transformation through security service edge (SSE)

  • Events and Workshops chevron

    Stay ahead of the latest security trends and connect with your peers.

  • Security Defined chevron

    Everything you need to know in our cybersecurity encyclopedia.

Security Visionaries Podcast

The Convergence of CIO & CISO Roles
Join host Max Havey on the latest episode of Security Visionaries as he sits down with guest Jadee Hanson, CISO at Vanta.

Play the podcast
The Convergence of CIO & CISO Roles
Latest Blogs

Read how Netskope can enable the Zero Trust and SASE journey through security service edge (SSE) capabilities.

Read the blog
Sunrise and cloudy sky
SASE Week 2023: Your SASE journey starts now!

Replay sessions from the fourth annual SASE Week.

Explore sessions
SASE Week 2023
What is SASE?

Learn about the future convergence of networking and security tools in today’s cloud dominant business model.

Learn about SASE
  • Company chevron

    We help you stay ahead of cloud, data, and network security challenges.

  • Leadership chevron

    Our leadership team is fiercely committed to doing everything it takes to make our customers successful.

  • Customer Solutions chevron

    We are here for you and with you every step of the way, ensuring your success with Netskope.

  • Training and Certification chevron

    Netskope training will help you become a cloud security expert.

Supporting sustainability through data security

Netskope is proud to participate in Vision 2045: an initiative aimed to raise awareness on private industry’s role in sustainability.

Find out more
Supporting Sustainability Through Data Security
Thinkers, builders, dreamers, innovators. Together, we deliver cutting-edge cloud security solutions to help our customers protect their data and people.

Meet our team
Group of hikers scaling a snowy mountain
Netskope’s talented and experienced Professional Services team provides a prescriptive approach to your successful implementation.

Learn about Professional Services
Netskope Professional Services
Secure your digital transformation journey and make the most of your cloud, web, and private applications with Netskope training.

Learn about Training and Certifications
Group of young professionals working
9 min read

What is the definition of Data Loss Prevention? (DLP meaning) link link

The definition of Data Loss Prevention encompasses a set of practices and tools meant to prevent data leakage (also known as data exfiltration) by intentional and unintentional misuse. These practices and tools include encryption, detection, preventative measures, educational pop ups (for unintentional movements), and even machine learning to assess user risk scores. Over time, DLP has evolved into the realm of data protection and has become a premier feature of data protection deployment.


For the sake of simplicity, we’re going to use the acronym “DLP” throughout this guide to refer to all of these measures, unless stated otherwise.

dlp meaning


The need for Data Loss Prevention software link link

Losing data is bad for business. It erodes confidence in your brand and can result in financial losses from lawsuits, regulatory non-compliance fines, and exposure of intellectual property. Let’s dig a little deeper into the requirements that drive the need for DLP cyber security.


1. Compliance with industry and government regulations

Many industries, including healthcare, government contractors, and financial institutions are required by law to safeguard sensitive personal data. These regulations include:

  • HIPAA (Health Insurance Portability and Accountability Act)
  • GDPR (General Data Protection Regulation)
  • PCI DSS (Payment Card Information Data Security Standard)
  • CCPA (California Consumer Privacy Act)
  • PIPEDA (Personal Information Protection and Electronic Documents Act)

Common to all the regulations is the stipulation that sensitive data must be kept in a secure location and isolated from unauthorized users. Companies must have DLP security strategies and tools in place, which prevent unintentional or malicious access to, and exfiltration from, the isolated data store.


2. Protecting proprietary information

Proprietary information refers to any confidential data or knowledge about the organization and its business structure and operations, or about its clients, customers, partners, or affiliates. Examples of proprietary information include:

  • Internal project plans
  • Proprietary code
  • Patent information
  • Email communications
  • Business documents
  • Internal processes

While some hackers steal information from organizations and government agencies just to see if they can, most do it for the financial benefit of selling or exposing that information. Today, many ransomware attackers not only encrypt the victim’s data and demand money for unlocking it, but also exfiltrate some of the data and demand payment for not releasing it to the public.

Data loss prevention software and strategies help keep your intellectual property safe, not only from outside attacks and exfiltration, but also from unintentional data leaks caused by your own employees. The careless sharing of confidential data and information over unsecured media and public cloud accounts can cause just as much damage as malicious acts of information espionage.

eBook: Modern data loss prevention (DLP) for Dummies
White Paper: Evaluating Data Loss Impact


How does Data Loss Prevention work? link link

There are several methods of DLP security, which are implemented through best practices and software tools. The best data loss prevention strategies include a variety of approaches to cover all of the potential breach vectors.


The 5 types of data loss prevention


1. Data Identification: This is the process by which organizations identify sensitive information within their digital environment, whether it resides within emails, cloud storage applications, collaboration applications, or elsewhere.

2. Data Leak Identification: This is an automated process for detecting and identifying misappropriated data, whether it was exfiltrated or misplaced within an organization’s infrastructure.

3. Data-in-Motion DLP: When data is in transit between locations, DLP network security employs a variety of security measures to ensure that the data arrives untouched at its destination.

4. Data-at-Rest DLP: This type of protection covers data that is not currently in transit and is typically stored in some kind of database or file sharing system. It utilizes several methods to ensure safe storage of data locally and in the cloud, from endpoint protection to encryption to prevent any unauthorized use of data.

5. Data-in-Use DLP: Data that is currently in use by those within an organization must be protected from any type of potentially harmful interaction with the data, such as altering, screen-capturing, cut/copy/paste, printing, or moving information. In this context, DLP is meant to prevent any unauthorized interactions or movements of data, as well as take note of any suspicious patterns.

White Paper: Protecting Data Using Machine Learning
eBook: Top Questions to Ask Your Cloud DLP Vendor


Data Loss Prevention best practices link link

1. Educate your employees

One of the most effective best practices for preventing data loss starts with training your employees everything they should and shouldn’t do when handling your organization’s precious data. Employee DLP system education should include safe practices for transferring, viewing, and storing data. For maximum effect, training should be sponsored at the executive level and should be repeated at regular intervals to reinforce and update best-practice behavior.


2. Establish data handling policies

A key component of DLP best practices, data handling policies include:

  • Where data can be stored
  • How data is to be transferred
  • Who can view certain types of data
  • What types of data you are allowed to store
  • And many others

Since these policies drive all other data handling behaviors and assessments, they should be established at your earliest opportunity. They should also be updated regularly to reflect changes in the organization, the industry, and in regulations. Once data handling policies are in place, you can move onto more technical remedies and best practices to ensure your data remains where it ought to be.


3. Create a data classification system

The key to creating data loss prevention policies is to start with a data classification system. This taxonomy will provide a reference for talking about the stringency and methods of protection needed for different types of data. Common classifications include personally identifiable information (PII), financial information, public data, and intellectual property. There are many others. A unique set of protection protocols can be established for each classification.


4. Monitor sensitive data

Successful data protection requires the ability to monitor your sensitive data. Data loss prevention software typically includes capabilities for monitoring all aspects of data use and storage, including:

  • User access
  • Device access
  • Application access
  • Threat types
  • Geographical locations
  • Access times
  • Data context

As part of the monitoring process, DLP software sends alerts to relevant personnel when data is used, moved, deleted, or altered in an unauthorized manner.


5. Implement a DLP software that accommodates shadow IT

It can be complicated enough to protect the data used by your known inventory of applications. But you also need to account for data accessed by shadow IT. This is the growing trove of software-as-a-service (SaaS) applications that employees subscribe to independently, without approval from the IT department—and often without its knowledge.

Even if employees are thoroughly trained in DLP best practices, it is hard for them to accurately assess the safety of these cloud-based applications. Under most SaaS models, the SaaS provider is responsible for the applications themselves, but users are responsible for the data that the application uses. Users, who are focused on achieving business objectives, are not in a position to protect data from attacks that may come through a compromised SaaS application. It is up to you to hold the line on data leakage and misuse. That’s why you need a DLP software solution that is able to recognize shadow IT and prevent users from accessing data or moving data to these applications, until you can bring them out of the shadows and into the fold of secure IT operations.


6. Set up different levels of authorization and access

This best practice goes hand-in-hand with data classification, as the combination of these two will allow you to grant access to data only to those who have clearance to that information. Your DLP software should also incorporate certain zero trust data protection policies that don’t inherently grant trust to any users while consistently verifying identities and clearance.


7. Adopt companion tools of DLP

DLP doesn’t live in a vacuum. The entire concept of DLP relies on an ecosystem of tools that work together to provide insights, plans of action, and active protections of your data. These tools include secure web gateways, cloud access security brokers, email security, and zero trust infrastructures.

Datasheet: Netskope Data Loss Prevention


What is endpoint Data Loss Prevention? link link

Endpoint DLP is a form of endpoint security that takes all of the principal features of data loss prevention and applies them to all endpoints that have access to networks, cloud infrastructure, and sensitive data. But before we take a deep dive into this concept, what is an endpoint?

An endpoint is any physical device that is able to send, receive, and interpret data from a network, including:

  • Laptops
  • Smartphones
  • Servers
  • Tablets
  • Internet of Things (IoT) devices

Endpoint data loss prevention is made to protect data that is accessed by any and all of these endpoint devices.

How does endpoint DLP work?

Endpoint DLP solutions protect data by providing visibility and protection capabilities on devices. By monitoring data-at-rest, data-in-motion, and data-in-use, endpoint DLP is able to intervene when certain behaviors violate policies set by security administrators, such as:

  • Unauthorized movement of protected data
  • Exfiltration of protected data
  • Deletion of protected data

Once the endpoint DLP agent detects and responds to the violation, administrators are notified and the incident is analyzed for the sake of future mitigation efforts. This continuous monitoring and behavior analysis also allows for contextualized intervention so as not to impede legitimate work functions.

How to secure sensitive data in the use of generative artificial intelligence applications (Generative AI security)? link link

Netskope secures the usage of generative AI and ChatGPT to enable innovation while maintaining robust data protection. Netskope DLP identifies flows of sensitive data with the highest level of precision, preventing any unsafe exposure on SaaS applications like ChatGPT, as well as on personal instances.

Application access control
Netskope provides automated tools for security teams to continuously monitor what applications (such as ChatGPT) corporate users attempt to access, how, when, from where, with what frequency etc.

Advanced detection and safeguarding of sensitive data
With Netskope’s data loss prevention (DLP), powered by ML and AI models, thousands of file types, personally identifiable information, intellectual property (IP), financial records and other sensitive data are confidently identified and automatically protected from unwanted and non-compliant exposure.

Netskope detects and secures sensitive data in-motion, at-rest and in-use and through every possible user connection, in the office, in the datacenter, at home and on the road.

Real-time data protection and automatic user coaching
Netskope DLP offers several enforcement options to stop and limit the upload and posting of highly sensitive data through ChatGPT. This real-time enforcement applies to every user connection, ensuring data protection in the modern hybrid work environment where corporate users connect from the office, home, and while on the road.

Solution brief Netskope for ChatGPT and Generative AI Data Protection
Demo: Safely Enable ChatGPT


plus image
light blue plus

Top Questions to Ask Your Cloud DLP Vendor

Data Protection remains a top priority for organizations worldwide. As new communication and collaboration norms evolve, it’s imperative to ensure your organization’s security posture is up-to-date and capable of reducing risk of data loss, exposure and exfiltration across your multi-cloud, web and email environment. This check list will provide guidance on how to choose the right data protection solution for your organization.