Netskope Data Security Services by e3

DSPM, DLP and AI Security for modern enterprises

Data is no longer contained within the corporate network.

Sensitive information moves continuously across:

• Microsoft 365;
• SaaS applications;
• cloud platforms;
• private applications;
• websites;
• endpoints;
• AI applications;
• AI agents.

At the same time, generative AI is making information easier to access, process and share.

For management, the key question is therefore no longer:

“Where is our data?”

It is:

“Do we know where our critical data is, who can access it, how it is being used and whether we remain in control?”

e3 helps organisations answer these questions with Netskope One, combining specialist services around:

• Data Security Posture Management — DSPM;
• Data Loss Prevention — DLP;
• cloud and SaaS Data Protection;
• AI Security;
• Shadow AI;
• generative AI controls;
• data classification;
• policy optimisation;
• managed Data Security services.

Netskope brings DSPM, DLP, CASB, SSE and AI Security capabilities together within the Netskope One platform, enabling organisations to discover sensitive data and apply real-time controls when that data is used.

What is Netskope Data Security?

Netskope Data Security is designed to protect sensitive information across cloud, web, SaaS, private applications and AI environments.

The strength of the approach is the connection between:

Data at rest + Data in motion + Data in use

Netskope can help organisations discover sensitive information, understand risk and then apply protection when users interact with that data.

At e3, we see this as an important evolution from traditional Data Loss Prevention.

The goal is no longer simply:

Stop data from leaving.

The goal is:

Understand the data, understand the context and control its use.

Netskope Data Security Posture Management – DSPM

You cannot protect data you cannot see.

Netskope One DSPM provides continuous visibility into sensitive information across data stores and helps organisations understand:

• where sensitive data resides;
• what that data contains;
• who has access;
• whether access creates risk;
• how data is being used;
• where sensitive-data violations occur.

Netskope describes its DSPM capabilities as providing a continuous view of data-security posture using risk indicators, classification and analysis of data access and usage.

From data discovery to risk reduction

A DSPM tool may identify thousands of potential findings.

But the important question is:

Which findings actually represent business risk?

e3 helps organisations prioritise DSPM findings based on factors such as:

• sensitivity of the information;
• number of users with access;
• external exposure;
• data location;
• business ownership;
• regulatory requirements;
• user behaviour;
• AI accessibility;
• sovereignty requirements.

This turns DSPM from a technical discovery exercise into an operational Data Security programme.

Find your digital crown jewels

At e3, we recommend starting Data Security with the organisation’s most valuable information.

We call these the digital crown jewels.

Examples include:

• intellectual property;
• customer information;
• product designs;
• source code;
• pricing models;
• contracts;
• strategic plans;
• research data;
• financial information.

The first question should therefore not be:

“How many sensitive files do we have?”

It should be:

“Which information would materially damage our organisation if it were lost, exposed or misused?”

Netskope DSPM can help discover and classify that information.

e3 helps determine how it should be protected.

Netskope Data Loss Prevention

Netskope One DLP protects sensitive data when users interact with cloud applications, websites, private applications and other digital services.

Netskope supports real-time DLP controls and user coaching based on application, user and data risk.

This enables organisations to control activities such as:

• uploading confidential information;
• downloading sensitive files;
• copying data;
• sharing information externally;
• submitting data to AI applications;
• moving information to unmanaged applications.

Why modern DLP needs context

Traditional DLP is often heavily based on static rules.

For example:

If document contains X → block it.

Modern Data Protection requires more context.

The decision may depend on:

• what the data is;
• which application is being used;
• whether the application is sanctioned;
• which user is involved;
• whether the user is on a managed device;
• what action is being performed;
• whether the destination is trusted.

Netskope combines these signals to make Data Protection more contextual.

This creates an important shift:

from static DLP towards adaptive Data Security.

DLP policy engineering by e3

Technology alone does not create effective DLP.

The real quality of a DLP programme depends on its policies.

e3 helps organisations develop and optimise policies based on actual business risks.

Our approach typically includes:

1. Identify the protection objective.
2. Determine the critical information.
3. Understand the business process.
4. Define detection requirements.
5. Build the policy.
6. Test using representative data.
7. Introduce monitoring.
8. Reduce false positives.
9. Validate with business owners.
10. Move towards active controls.

The objective is not to create as many DLP policies as possible.

The objective is:

protect the right data without unnecessarily interrupting legitimate business activity.

Netskope and generative AI

Generative AI creates one of the most important new Data Protection challenges.

Employees can share information with:

• ChatGPT;
• Microsoft Copilot;
• Google Gemini;
• Claude;
• coding assistants;
• AI-enabled SaaS applications;
• private AI environments.

The productivity benefits can be significant.

But organisations need to prevent sensitive information from being shared with AI services inappropriately.

Netskope positions AI Security around securing public AI, private AI, Shadow AI and agentic AI while using unified data-security controls across the Netskope One platform.

Protect data used with ChatGPT and other AI applications

The objective should not be to block AI completely.

Employees increasingly need AI to remain productive.

The challenge is to distinguish between:

acceptable AI usage

and

unacceptable data sharing.

For example, an employee may be allowed to use ChatGPT to improve text.

But they should not upload:

• customer databases;
• source code;
• intellectual property;
• product designs;
• confidential contracts.

Netskope DLP can apply data controls to AI interactions so organisations can allow the application while restricting what information may be shared.

Shadow AI

One of the fastest-growing security challenges is Shadow AI.

Employees can start using AI applications without approval from IT or Security.

This creates questions such as:

• Which AI applications are being used?
• Which users are using them?
• Are they corporate or personal accounts?
• Is company data being uploaded?
• Does the AI provider use prompts for model training?
• Is information being shared with third parties?

Netskope provides visibility into AI application usage and associated risk characteristics. Its AI capabilities include discovery of unapproved and Shadow AI applications.

AI application risk

Not every AI service represents the same risk.

Some providers may:

• use customer content for training;
• share information with third parties;
• have limited security controls;
• lack relevant compliance certifications.

Netskope evaluates application characteristics through its Cloud Confidence Index and applies additional AI-specific risk context to help organisations make informed decisions.

e3 helps translate these findings into an AI governance model.

Protect AI prompts and responses

AI Security increasingly requires control over both:

the prompt going into the AI

and

the response coming back.

Netskope’s current AI Security architecture includes capabilities designed to inspect AI interactions and apply guardrails around prompts, responses and data usage.

This enables organisations to protect against:

• sensitive-data leakage;
• inappropriate prompts;
• unsafe AI responses;
• policy violations.

AI Guardrails

As AI becomes embedded in business processes, organisations need more than visibility.

They need guardrails.

These controls can help determine:

• what users may send to AI;
• which AI applications may be used;
• which data may be processed;
• whether prompts contain sensitive data;
• whether responses create security risk.

The objective is:

enable AI where it creates value, while keeping the organisation in control.

Agentic AI Security

AI is rapidly evolving beyond simple user prompts.

AI agents can increasingly:

• access applications;
• retrieve information;
• call APIs;
• use tools;
• interact with other agents;
• execute business tasks.

Netskope’s current AI Security proposition explicitly extends to agentic AI, including visibility into agent interactions and MCP-related activity.

For organisations, this introduces a new question:

Which data can an AI agent access, and what can that agent do with it?

MCP and AI agent visibility

Model Context Protocol — MCP — is becoming an important way for AI agents to connect with tools and enterprise information.

This creates a new Data Protection requirement.

Security teams need visibility into:

• which MCP connections exist;
• which data is being accessed;
• which tools are invoked;
• which agents are involved.

Netskope describes capabilities for monitoring MCP traffic and agent interactions to reduce unauthorised access and risky connections.

Netskope AI Security Posture Management

AI Security Posture Management — AI-SPM — focuses on understanding and reducing AI-related security risk.

Netskope describes its AI-SPM strategy as connecting knowledge of sensitive data with real-time control of AI usage.

A key advantage is that the same data-classification intelligence can be used to apply policy when a user interacts with AI.

This bridges the gap between:

knowing where sensitive data exists

and

controlling what happens to it when AI is used.

DSPM + DLP + AI Security

This combination is particularly important.

DSPM

Where is our sensitive data?

DLP

How may that data be used or shared?

AI Security

How may users and agents interact with that information using AI?

Combined, these capabilities create a much more complete Data Security architecture.

Data Security before AI adoption

Many organisations are accelerating Microsoft Copilot and other AI programmes.

But AI can expose existing Data Governance weaknesses.

For example:

A user may technically have access to thousands of documents but previously had no practical way to find them.

AI makes discovery significantly easier.

The issue was not created by AI.

AI amplified an existing data-access problem.

That is why e3 recommends reviewing:

• sensitive data;
• excessive access;
• sharing;
• classification;
• AI exposure;

before accelerating enterprise AI adoption.

The e3 Netskope Data Security Services

e3 provides specialist services around the Netskope platform.

Our role is to translate Netskope technology into measurable Data Protection outcomes.

1. Netskope Data Security Assessment

e3 can assess your existing Data Security environment across:

• critical data;
• cloud usage;
• SaaS applications;
• existing DLP;
• data classification;
• AI usage;
• Shadow AI;
• governance;
• existing security controls.

The result is a prioritised roadmap.

2. Netskope DSPM Implementation

e3 can help design, implement and operationalise Netskope DSPM.

Services can include:

• architecture;
• onboarding;
• data-source configuration;
• classification;
• DSPM policy design;
• risk prioritisation;
• dashboards;
• remediation processes.

3. Netskope DLP Implementation

e3 supports the complete DLP lifecycle.

This may include:

• architecture;
• classifiers;
• DLP policies;
• cloud DLP;
• web DLP;
• SaaS Data Protection;
• policy testing;
• policy optimisation;
• false-positive reduction.

4. DLP Optimisation

Many organisations already operate Netskope but are not getting the full benefit from DLP.

e3 can perform a structured optimisation review covering:

• policy effectiveness;
• incident volume;
• false positives;
• detection quality;
• exceptions;
• user coaching;
• business alignment.

The aim is to make DLP both more accurate and easier to operate.

5. Netskope AI Security Assessment

e3 helps organisations understand how AI is currently being used.

The assessment can examine:

• approved AI;
• Shadow AI;
• generative AI usage;
• user behaviour;
• sensitive-data exposure;
• application risk;
• AI governance;
• agentic AI.

6. AI Security Policy Design

e3 helps organisations define policies around:

• which AI applications are allowed;
• which data may be shared;
• which users may access specific AI services;
• when warning or coaching is sufficient;
• when activity should be blocked.

This enables a controlled “Yes to AI” strategy.

7. Shadow AI Discovery

Using Netskope visibility, e3 can help identify:

• unsanctioned AI applications;
• unmanaged accounts;
• high-risk AI services;
• data-sharing patterns.

These findings can then be translated into governance actions.

8. AI Data Protection

e3 helps extend existing DLP policies towards generative AI.

Examples include preventing:

• customer data entering public LLMs;
• source code being uploaded;
• intellectual property being pasted;
• confidential contracts being processed by unapproved AI.

This allows organisations to support innovation without abandoning Data Protection.

9. DSPM and AI Readiness

Before enterprise AI is deployed broadly, e3 can use Netskope DSPM to help evaluate whether the underlying data environment is ready.

We examine:

• sensitive-data locations;
• classification;
• exposure;
• excessive access;
• risky repositories;
• AI-accessible information.

10. Netskope Managed Data Security

Data Security requires continuous attention.

e3 can support organisations through managed services covering:

• policy management;
• incident review;
• DSPM findings;
• DLP optimisation;
• AI application review;
• Shadow AI monitoring;
• reporting;
• specialist support.

Netskope and Microsoft Purview

For Microsoft-centric organisations, Netskope and Microsoft Purview can be complementary.

Microsoft Purview can provide:

• classification;
• sensitivity labels;
• Microsoft 365 DLP;
• Insider Risk.

Netskope can extend Data Protection towards:

• SaaS;
• web;
• cloud applications;
• private applications;
• generative AI.

e3 has expertise in both environments and can help organisations develop a coherent Data Protection architecture.

Netskope and e3 Crown Jewel Protection

e3 recommends connecting Netskope policies directly to the organisation’s crown jewels.

That means determining:

Which information matters most?

Then applying appropriate controls around:

• discovery;
• classification;
• access;
• sharing;
• cloud usage;
• AI usage.

This creates much more meaningful protection than simply implementing generic DLP templates.

Why e3 for Netskope?

Data Protection is our specialism

e3 specialises in:

• DLP;
• DSPM;
• Insider Risk;
• Data Classification;
• AI Security;
• digital sovereignty.

Business-first approach

We start with the information and risks that matter to the organisation.

Not with technology.

Deep DLP expertise

DLP policy design and optimisation is a core e3 discipline.

AI Security expertise

We help organisations connect traditional Data Protection with emerging AI risks.

Vendor-independent architecture

e3 works across platforms including:

• Netskope;
• Microsoft Purview;
• Forcepoint;
• Proofpoint;
• Broadcom Symantec;
• Varonis;
• Noma Security;
• Zscaler.

This enables us to advise based on business requirements rather than one specific technology.

From assessment to operation

e3 can support the complete lifecycle:

Assess → Discover → Classify → Protect → Govern → Optimise → Operate

Frequently Asked Questions

What is Netskope DSPM?

Netskope One DSPM discovers and classifies sensitive data and helps organisations understand risk based on data location, access and usage.

What is Netskope DLP?

Netskope One DLP protects sensitive information across cloud, web, SaaS and AI interactions using real-time policies and contextual controls.

Can Netskope protect data used with ChatGPT?

Yes. Netskope can monitor and control how sensitive information is shared with generative AI applications such as ChatGPT while still allowing authorised use.

What is Shadow AI?

Shadow AI is the use of AI applications or AI features without formal approval or governance from the organisation.

Can Netskope identify Shadow AI?

Yes. Netskope provides visibility into the use of approved and unapproved AI services and can apply policies based on application and data risk.

What is Netskope AI-SPM?

AI Security Posture Management helps organisations understand and control AI-related security risks, combining visibility into AI usage with sensitive-data context and real-time policy enforcement.

Does Netskope support agentic AI security?

Yes. Netskope’s current AI Security platform includes controls around agentic AI, agent interactions and MCP traffic.

Does e3 provide Netskope managed services?

Yes. e3 can support Netskope DSPM, DLP and AI Security environments with policy management, optimisation, findings review, monitoring and specialist support.

Secure the data. Enable the cloud. Say yes to AI.

Cloud and AI adoption will continue to accelerate.

The objective should not be to block innovation.

It should be to make sure that innovation does not result in losing control over the organisation’s most valuable information.

e3 helps organisations use Netskope to:

Discover sensitive data.
Understand exposure.
Control how data is used.
Secure AI adoption.
Protect the crown jewels.

Talk to e3 about your Netskope Data Security and AI Security strategy.

CONTACT E3

Do you recognize your organization in our vision on data protection and DLP?
We would be happy to meet, learn more about your environment and explore how we can help protect your critical data.

Get in touch with e3 Benelux and let’s secure your business together.