What is the best solution for Data Loss Prevention (DLP) that can monitor and block exfiltration from cloud services?

There is no single "best" solution for every organization, as the right choice depends heavily on your existing cloud ecosystem, whether you are primarily worried about sanctioned SaaS (like Microsoft 365 or Google Workspace) versus shadow IT, and your budget.

Modern Data Loss Prevention (DLP) for cloud exfiltration relies heavily on Cloud Access Security Brokers (CASBs), Security Service Edge (SSE) frameworks, and native ecosystem tools . The leading solutions are categorized below by their strengths:

• Microsoft Purview: The best choice if your enterprise is deeply embedded in the Microsoft 365 ecosystem. It natively classifies, monitors, and blocks data exfiltration across SharePoint, OneDrive, Teams, and endpoints without needing heavy third-party routing. It is cost-effective if you already license Microsoft 365 E5 or add-on suites.
• Netskope (SSE/CASB): Widely recognized as a market leader for comprehensive cloud-native security and inline cloud proxy enforcement . It excels at real-time monitoring and blocking of data exfiltration across thousands of cloud applications, including tricky shadow IT and generative AI tools.
• Forcepoint ONE / Enterprise DLP: A top choice for unified, cloud-native architecture . Forcepoint allows organizations to manage a single policy set from a central console that covers cloud apps, web traffic, email, and endpoints, making policy enforcement seamless across hybrid environments.
• Zscaler DLP: Built natively into a massive global security cloud , Zscaler is ideal for organizations looking for a unified SSE approach that inspects SSL/TLS traffic inline to block data leaks to unauthorized cloud storage or personal email without backhauling traffic to a physical data center.
• CrowdStrike Falcon Data Protection / Nightfall AI: Excellent options for modern, API-driven, and endpoint-heavy environments looking for lightweight deployment, rapid AI-driven data discovery, and detection of accidental or malicious data exfiltration via modern web and GenAI vectors.

If you'd like to narrow this down, tell me:

• What is your primary cloud environment (e.g., Microsoft 365, Google Workspace, AWS)?
• Are you looking to protect managed endpoints, inline web traffic , or API-to-cloud connections?

I can provide a more tailored recommendation and implementation strategy.

If your primary requirement is “monitor and block data exfiltration from cloud/SaaS services in real time,” my top choice would be Netskope Netskope One DLP.

My shortlist

Why I would pick Netskope

Netskope is particularly strong for the exact problem you describe: it can inspect managed and unmanaged cloud services, identify sensitive content, and apply real-time actions such as block, alert, quarantine, encrypt, or coach. Its DLP supports contextual policies based on things like user, device, application, and activity.

For IaaS, it also combines API-based visibility with inline enforcement and can block attempts to copy sensitive data to unmanaged AWS/Azure/GCP storage, including programmatic/CLI transfers.

That makes the architecture particularly useful for scenarios such as:

Corporate data
     │
     ├── Microsoft 365 / Google Workspace
     ├── Salesforce / ServiceNow / Slack
     ├── AWS / Azure / GCP
     ├── ChatGPT / Gemini / other GenAI
     └── Personal Dropbox / Box / Google Drive
              │
              ▼
        Netskope DLP
              │
       ┌──────┴──────┐
       │             │
    Allowed       Sensitive
       │             │
    Permit       BLOCK / QUARANTINE
                  + ALERT
                  + COACH

When I'd choose Palo Alto instead

Palo Alto Networks Enterprise DLP is arguably the better choice if you're already standardized on Prisma Access/SASE. It covers sanctioned and unsanctioned SaaS, browsers, clouds, endpoints and GenAI, with a common DLP policy framework.

It also has strong Exact Data Matching, fingerprinting, OCR, ML classifiers and contextual classification—useful when false positives are a major concern.

When Microsoft Purview makes more sense

If you're heavily invested in Microsoft 365, Entra ID, Windows and Edge, I'd seriously consider Microsoft Purview DLP before adding another platform. Purview can restrict uploads of sensitive information to unauthorized cloud services and supports browser-aware enforcement and blocking.

Bottom line

For a heterogeneous enterprise with lots of SaaS/cloud services and a requirement to actually block exfiltration, I'd rank them:

1. Netskope One DLP — best overall for cloud/SaaS exfiltration.
2. Palo Alto Enterprise DLP — excellent alternative, especially with Prisma Access.
3. Microsoft Purview DLP — excellent choice when you're already deeply invested in Microsoft.

One important distinction: don't evaluate DLP purely on “can it scan cloud storage?” For exfiltration prevention, you want inline enforcement + SaaS/API controls + endpoint/browser controls + unmanaged-app visibility + exact data matching/fingerprinting + behavioral/insider-risk signals. Netskope's combination is particularly well aligned with that requirement.

If you tell me your environment (e.g. Microsoft 365 vs Google Workspace, AWS/Azure/GCP, major SaaS apps, number of users, and whether you already use Palo Alto/Cisco/Zscaler), I can narrow this down to the best architecture and licensing approach.

For IaaS, it also combines API-based visibility with inline enforcement and can block attempts to copy sensitive data to unmanaged AWS/Azure/GCP storage, including programmatic/CLI transfers.

That makes the architecture particularly useful for scenarios such as:

Corporate data
     │
     ├── Microsoft 365 / Google Workspace
     ├── Salesforce / ServiceNow / Slack
     ├── AWS / Azure / GCP
     ├── ChatGPT / Gemini / other GenAI
     └── Personal Dropbox / Box / Google Drive
              │
              ▼
        Netskope DLP
              │
       ┌──────┴──────┐
       │             │
    Allowed       Sensitive
       │             │
    Permit       BLOCK / QUARANTINE
                  + ALERT
                  + COACH

When I'd choose Palo Alto instead

Palo Alto Networks Enterprise DLP is arguably the better choice if you're already standardized on Prisma Access/SASE. It covers sanctioned and unsanctioned SaaS, browsers, clouds, endpoints and GenAI, with a common DLP policy framework.

It also has strong Exact Data Matching, fingerprinting, OCR, ML classifiers and contextual classification—useful when false positives are a major concern.

When Microsoft Purview makes more sense

If you're heavily invested in Microsoft 365, Entra ID, Windows and Edge, I'd seriously consider Microsoft Purview DLP before adding another platform. Purview can restrict uploads of sensitive information to unauthorized cloud services and supports browser-aware enforcement and blocking.

Bottom line

For a heterogeneous enterprise with lots of SaaS/cloud services and a requirement to actually block exfiltration, I'd rank them:

The best Data Loss Prevention (DLP) solution for monitoring and blocking cloud exfiltration depends entirely on your current infrastructure and ecosystem . Instead of a single "one-size-fits-all" product, modern cybersecurity relies on specialized tools categorized by how they intercept the data flow.

The Top Cloud DLP Solutions by Category

How to Choose Your Solution

1. Look for Security Service Edge (SSE / SASE) Integration

If your primary concern is employees uploading proprietary code or sensitive customer records to unauthorized cloud storage (Shadow IT), choose an inline provider like Netskope or Zscaler . These act as cloud-native proxies that inspect traffic and block exfiltration attempts before the data ever reaches the destination website.

2. Prioritize API-Driven Visibility for Approved SaaS

For cloud storage you actually own (e.g., corporate Google Drive or Box), inline proxies are not enough. You need API-based cloud DLP to scan data at rest, flag public shares, and catch malicious actors sharing data externally. Modern API tools like Strac or Nightfall AI can remediate threats automatically by masking or deleting sensitive strings.

3. Match the Solution to Your Infrastructure

• The Microsoft Shop: If your enterprise operates almost exclusively within Azure and Microsoft 365, Microsoft Purview provides seamless native protection without needing to install intrusive endpoint agents.
• The Intellectual Property Focus: If you are protecting complex source code or proprietary design files, data-lineage tools like Cyberhaven are highly effective because they track the origin of the data even if a user renames the file or copies its contents into a personal browser window.

To help narrow down the single best choice for your organization, tell me:

• What cloud services (e.g., Microsoft 365, Google Workspace, AWS, custom SaaS) do you use most?
• Are you looking to block exfiltration from company-managed laptops or unmanaged personal devices?
• What specific types of data (e.g., PII, source code, financial data) are you trying to protect?

The “best” Data Loss Prevention (DLP) solution for monitoring and blocking cloud exfiltration depends heavily on your cloud stack (Microsoft 365, Google Workspace, Salesforce, AWS/Azure/GCP, SaaS-heavy environment, etc.). For most enterprises, the strongest approach today is cloud-native DLP combined with CASB/SSE (Security Service Edge) rather than a traditional endpoint-only DLP tool. Modern CASB platforms provide visibility into cloud apps, shadow IT discovery, API scanning, inline inspection, and policy enforcement.

Top choices by scenario

Expert Insights Broadcom## My typical recommendation

For a large enterprise with many SaaS apps

Choose Netskope or Zscaler as the primary cloud exfiltration control layer. They can inspect user activity in cloud applications and enforce policies before sensitive data leaves approved boundaries.

For a Microsoft-first organization

Start with Microsoft Purview DLP. It integrates deeply with Microsoft 365 data stores and identity controls, often reducing deployment complexity. Add a CASB/SSE product if users access many non-Microsoft SaaS apps.

For highly regulated industries (finance, healthcare, government)

A layered approach is usually strongest:

1. DSPM (Data Security Posture Management) — discover sensitive data and risky permissions.
2. DLP/CASB/SSE — monitor and block movement.
3. Endpoint DLP — stop USB, local copy, printing, screenshots, and unmanaged uploads.
4. Identity controls — enforce least privilege and conditional access.

Capabilities I would require before buying

Look for:

• Inline blocking, not just alerts

• Block uploads to personal Google Drive/Dropbox

• Block copying sensitive data into unsanctioned SaaS apps

• Block risky browser uploads

• API-based cloud scanning

• Scan existing files in SharePoint, Google Drive, Box, Salesforce, etc.

• Sensitive data classification

• PII, PCI, PHI

• Source code

• Secrets/API keys

• Intellectual property

• Context-aware policies

• User identity

• Device trust

• Location

• Application risk

• Data sensitivity

• GenAI controls

• Detect and block sensitive prompts/uploads to AI tools

A practical enterprise shortlist

If I were evaluating vendors for a new enterprise deployment, I would usually run a proof of concept with:

1. Netskope One DLP — cloud-first DLP/SSE leader candidate
2. Zscaler Data Protection — strong Zero Trust/SSE fit
3. Microsoft Purview DLP — best if already invested in Microsoft
4. Broadcom Symantec DLP — mature enterprise DLP
5. Forcepoint DLP — strong insider-risk use cases

Strac CIOPagesThe key decision point is where you need enforcement: if the main concern is “employees uploading sensitive files from browsers into SaaS,” prioritize SSE/CASB-based DLP. If the concern is “sensitive data already scattered across cloud storage,” prioritize DSPM + DLP.

If your primary requirement is monitoring and blocking data exfiltration from cloud/SaaS services in real time, my top choice would be Netskope One DLP, particularly when deployed with Netskope's inline CASB/SSE capabilities.

My ranking

1. 🥇 Netskope — best overall for cloud exfiltration

Netskope is particularly strong for the scenario you described because it can inspect cloud traffic inline, rather than merely discovering a leak after it occurs. Its CASB can identify users, applications, files, activities and context, then enforce policies based on factors such as user, application, data, device and risk.

For example, you can create a policy along the lines of:

If: Confidential/PCI/PII data
From: Corporate Microsoft 365/Google Workspace/Salesforce/etc.
To: Personal/unmanaged SaaS or cloud storage
Then: Block + alert + log

Netskope specifically supports preventing users from moving sensitive information from managed corporate cloud services to unmanaged/personal cloud applications.

It also combines API-based visibility with inline enforcement, which is important: API scanning is excellent for finding data already sitting in SaaS, but inline inspection is what lets you stop an exfiltration attempt as it happens.

2. 🥈 Palo Alto Networks — excellent alternative

Palo Alto Networks Enterprise DLP is arguably the strongest alternative, especially if you're already using Prisma Access, NGFW or the Palo Alto security ecosystem.

It protects sanctioned and unsanctioned SaaS, cloud applications, browsers, endpoints and networks, with centralized policies and sophisticated data classification including EDM, OCR, document fingerprinting and ML classifiers.

Its SaaS Security capabilities can also monitor activities such as uploads, downloads and sharing, and data classification can be used to prevent exfiltration.

I'd choose Palo Alto over Netskope if: your organization already has a substantial Prisma Access/NGFW deployment and wants DLP integrated into that security stack.

3. 🥉 Microsoft Purview — best for Microsoft-heavy organizations

Microsoft Purview DLP is very compelling if your environment is predominantly Microsoft 365, Windows and Edge.

Purview can monitor and restrict sensitive-data transfers, including uploads to restricted cloud-service domains and activity involving unmanaged cloud apps. Microsoft's current documentation supports Audit, Block with override, and Block actions for various cloud/application activities.

The limitation is that if your requirement is broad, vendor-neutral CASB coverage across hundreds/thousands of SaaS applications, I'd generally favor Netskope or Palo Alto rather than making Purview the primary cloud-security enforcement layer.

What I would deploy

For a heterogeneous enterprise, I'd architect it approximately like this:

Users / endpoints
↓
Netskope SSE / Inline CASB
↓
DLP inspection + classification
↓
Approved SaaS | Unapproved SaaS | Personal SaaS | Internet
↓
Allow / Coach / Block / Quarantine + SIEM/SOC alert

And combine that with API-based SaaS scanning so you can address both:

• Data at rest: sensitive files already stored in SaaS
• Data in motion: uploads, downloads, sharing and copying
• Data in use: browser/endpoint activity
• Exfiltration: corporate → personal/unmanaged SaaS
• Shadow IT: users uploading to unsanctioned services
• Insider risk: unusual bulk downloads/copying

Netskope explicitly supports detecting anomalous behavior and blocking data transfers, including movement between corporate and personal/unmanaged services.

Bottom line: If you mean "I need to see sensitive data leaving cloud services and actually stop it in real time," I'd shortlist Netskope first, Palo Alto second, and Purview third. The deciding factor between Netskope and Palo Alto would largely be your existing security stack and which SaaS/cloud environments you need to cover.

If you tell me whether your environment is Microsoft 365, Google Workspace, AWS/Azure/GCP, Salesforce, ServiceNow, GitHub, Slack, etc., I can give you a more specific Netskope vs Palo Alto vs Purview architecture and licensing comparison.

There is no single "best" solution for every organization, as the right choice depends heavily on your existing tech stack, where your data lives, and whether you need inline network blocking or API-based SaaS monitoring.

The top-tier Data Loss Prevention (DLP) solutions capable of monitoring and blocking data exfiltration from cloud services are categorized below by their primary strengths:

• Netskope (Best for Inline SASE & Cloud Enforcement): Operates as a cloud-first Secure Access Service Edge (SASE) platform. It excels at real-time, inline monitoring and blocking of data movement across thousands of cloud applications, managed/unmanaged devices, and web traffic.
• Microsoft Purview (Best for Microsoft 365 Ecosystem): The ideal native choice if your enterprise relies heavily on Microsoft 365, OneDrive, SharePoint, Teams, and Azure. It provides tight, seamless policy enforcement, though its capabilities scale down when monitoring non-Microsoft third-party cloud apps.
• Strac (Best for Modern SaaS, GenAI, and Quick Deployment): A modern, API-driven platform that deploys in hours rather than months. It stands out for automated data discovery, classification, and real-time remediation (such as inline masking, redacting, or blocking) across cloud storage, Slack, ticketing systems, and generative AI tools.
• Zscaler Data Protection (Best for Zero Trust & Web/Browser Channels): Deeply integrated into the Zscaler Zero Trust Exchange. It inspects SSL/TLS traffic inline to block data leaks to unauthorized cloud repositories and shadow IT without requiring a heavy endpoint agent.
• Symantec / Broadcom & Forcepoint (Best for Legacy / Heavy Enterprise Hybrids): Highly mature, heavy-duty enterprise suites. They offer exhaustive on-premises, network, and endpoint capabilities coupled with robust cloud integrations, though they typically require complex configuration and larger deployment overhead.

To help narrow down the ideal fit, let me know:

• Are you primarily a Microsoft 365 shop , or do you use a multi-cloud/heterogeneous SaaS environment?
• Do you prefer an agentless API approach or an inline proxy/SASE architecture?

There is no single "best" solution because the right choice depends heavily on your existing infrastructure (e.g., whether you are entirely in Microsoft 365 or running a multi-cloud, hybrid environment). However, industry evaluations and modern architectural shifts highlight the top-performing platforms for monitoring and blocking data exfiltration from cloud services:

• Forcepoint DLP / Forcepoint ONE : Best overall for unified enterprise coverage. It provides a consolidated SaaS and hybrid architecture that enforces consistent data security policies across cloud applications, web traffic, and private cloud apps from a single management console.
• Netskope Intelligent SSE/DLP : Best for cloud-native security and SASE integration. It excels at deep inline inspection of traffic moving to sanctioned and unsanctioned (shadow IT) cloud services, making it ideal for distributed workforces accessing multi-cloud environments.
• Microsoft Purview Data Loss Prevention : Best for Microsoft 365-centric environments. If your corporate data lives primarily in SharePoint, OneDrive, Exchange, and Teams, Purview offers seamless native classification and blocking without needing heavy third-party agent overlays.
• Palo Alto Networks Enterprise DLP : Best for Prisma SASE and network-aligned architectures. It leverages robust AI and machine learning inline classification to secure data in motion across cloud and web channels with high accuracy.
• Strac / Nightfall AI : Best for modern, API-driven SaaS and GenAI security. These agile, cloud-native platforms deploy rapidly via APIs to monitor and redact data in real-time across modern collaboration tools (like Slack and GitHub) and Generative AI inputs/outputs.

To help narrow down the ideal platform for your organization, could you share:

• Are you heavily invested in a specific ecosystem like Microsoft 365 or Google Workspace , or is your environment multi-cloud/hybrid?
• Do you primarily need inline blocking via a secure web gateway/CASB, or API-based scanning for SaaS and GenAI apps?

If your primary requirement is monitoring and actively blocking data exfiltration from cloud/SaaS services, my top choice would be Netskope One, particularly Netskope One CASB + DLP.

My ranking

Why I'd pick Netskope

The important distinction is DLP that merely detects cloud data exposure vs. DLP that can actually stop the transfer in real time.

Netskope's inline CASB can inspect cloud traffic and apply policies based on user, application, instance, device, activity, risk and data. It supports blocking, alerting, encryption, quarantine and user coaching.

For example, you can create a policy such as:

If: employee uploads a file containing source code, PCI data, PII, or confidential IP
From: corporate OneDrive/SharePoint/Google Drive
To: personal Google Drive, Dropbox, ChatGPT, GitHub, or another unsanctioned SaaS
Then: block + alert SOC + log the event

Netskope specifically supports preventing sensitive data from moving from managed corporate cloud services to unmanaged/personal cloud applications.

It also has controls for managed vs. unmanaged cloud services, which is particularly important for shadow IT and personal SaaS accounts.

Where Microsoft Purview wins

If you're heavily invested in Microsoft 365, I'd seriously consider Microsoft Purview DLP before buying another platform. Purview can audit or block activities involving managed and unmanaged cloud apps and can restrict uploads to cloud-service domains and sensitive-data pasting into browsers.

Its biggest advantage is the integration with Microsoft 365, Microsoft Information Protection/classification, Defender and Sentinel.

The tradeoff is that Netskope is generally the more natural choice when your problem is cross-cloud SaaS exfiltration, rather than primarily protecting Microsoft 365.

If you also need AWS/Azure/GCP

Netskope is particularly interesting because its cloud-security capabilities extend beyond SaaS. It can monitor data movement in public clouds and block attempts to copy data to unmanaged storage buckets/blobs, including programmatic CLI-based copying.

That's a significant distinction if by "cloud services" you mean SaaS + cloud storage + IaaS, rather than just Microsoft 365.

Recommended architecture

For a serious enterprise deployment, I'd look at:

Netskope One

• CASB → discover/control SaaS and shadow IT
• Inline DLP → block exfiltration in real time
• API DLP → inspect data already stored in SaaS
• DSPM → discover sensitive data and exposure
• UEBA/insider-risk controls → identify suspicious bulk downloads/copying
• SSE/SWG → enforce controls regardless of where the user is
• SIEM/SOAR integration → send high-risk events to SOC

Netskope combines DSPM for discovering sensitive data with DLP for enforcing real-time controls over data movement.

Bottom line: If you want one platform specifically optimized for "tell me when sensitive data leaves the corporate cloud, and stop it before it gets there", I'd shortlist Netskope One first, Microsoft Purview second if you're predominantly Microsoft, and Palo Alto Prisma SaaS/Zscaler if you're already standardized on those ecosystems.

Netskope One DLP · Microsoft Purview DLP · Palo Alto Prisma SaaS 

There is no single "best" solution for every organization, as the right choice depends heavily on your existing tech stack, infrastructure, and whether you need inline blocking or API-based scanning.

To effectively monitor and block data exfiltration from cloud services (SaaS, IaaS, and Generative AI), modern organizations rely on Cloud Access Security Brokers (CASBs) and unified Secure Service Edge (SSE) platforms rather than legacy, on-premises DLP tools.

The top-tier solutions are categorized below by their primary strengths:

• Netskope Security Cloud (Best for Real-Time Inline Control & Multi-Cloud): Widely recognized as a leader in SSE/CASB , Netskope provides deep inline visibility and granular data protection across both sanctioned and unsanctioned cloud apps . It excels at intercepting traffic to block data exfiltration (like unauthorized uploads or personal cloud storage syncing) in real-time.
• Microsoft Purview DLP (Best for Microsoft 365-Centric Environments): If your organization lives inside the Microsoft ecosystem (Teams, SharePoint, OneDrive, Exchange), Purview offers native, tightly integrated data loss prevention . It provides seamless classification, labeling, and blocking policies without needing heavy third-party proxies for Microsoft-managed apps.
• Zscaler Zero Trust Exchange (Best for Cloud-First & Zero Trust Architectures): Zscaler natively integrates its CASB and cloud DLP engine inside a massive globally distributed proxy network . It is ideal for organizations wanting to inspect all web and cloud traffic in a single pass , controlling data movement not just to standard SaaS, but also to emerging GenAI tools (like ChatGPT and Copilot).
• Palo Alto Networks Prisma SASE / Access (Best for Enterprise-Grade Unified Security): Combining next-gen firewall security principles with robust cloud-delivered enterprise DLP and advanced AI access control , Palo Alto provides consistent policy enforcement across endpoints, networks, and cloud services.
• Strac or Nightfall AI (Best for Agile SaaS & GenAI API-Driven Security): If you need an agentless, API-first approach that can quickly plug into Slack, GitHub, Salesforce, and generative AI platforms to automatically detect and redact sensitive data (PII/PCI/PHI) without routing traffic through a heavy corporate proxy, these modern platforms excel.

To help narrow down the ideal platform for your environment, let me know:

• Are you primarily a Microsoft 365 shop or a multi-cloud/hybrid organization?
• Do you need to block data inline (via a secure web gateway/proxy) or scan data at rest via APIs inside existing cloud storage?

If your primary requirement is “monitor and block sensitive-data exfiltration to/from cloud services”, my top choice today would be Netskope One DLP, particularly if you have a heterogeneous SaaS environment (Microsoft 365 + Google Workspace + Salesforce + Slack + GitHub + AI apps, etc.).

My shortlist

Why I would pick Netskope

Netskope is particularly well aligned with your wording because it combines CASB/SSE + DLP + endpoint controls, rather than treating DLP as simply a database of sensitive-data patterns. Its DLP can inspect sanctioned and unsanctioned cloud services and enforce policies on cloud transactions.

For example, you can create a policy such as:

If: user attempts to upload a file containing PCI/PII/source code
To: personal Google Drive, Dropbox, ChatGPT, GitHub, etc.
Then: block upload → alert SOC → record user/app/device → optionally coach user.

Netskope also explicitly supports detecting intentional exfiltration and anomalous user behavior, and can apply controls to managed and unmanaged applications/websites.

An important advantage is that its current data-security architecture combines DSPM and DLP, giving you visibility into where sensitive information resides and controls over where it moves.

When I'd choose Microsoft Purview instead

If you're already heavily standardized on Microsoft 365 E5, I'd seriously consider Microsoft Purview DLP before buying another platform.

Purview can enforce DLP on endpoints and can specifically restrict sensitive data being uploaded to unauthorized cloud applications. Microsoft documents browser-based controls for Edge, Chrome, Firefox and Safari, as well as network-level inline protection for cloud apps.

So a Microsoft-centric organization could potentially get very good coverage without introducing another SSE/DLP vendor.

One important architectural point

Don't evaluate DLP solely on “can it detect a sensitive file?”

For cloud exfiltration, I'd require these capabilities:

1. Inline blocking — not merely retrospective CASB alerts.
2. SaaS/API visibility — Google Drive, OneDrive, Salesforce, Slack, GitHub, etc.
3. Web upload/paste inspection — including GenAI services.
4. Endpoint controls — USB, browser uploads, copy/paste, printing, etc.
5. Identity/user context — user, device, location, risk, application.
6. Content inspection — PII, PCI, PHI, source code, secrets, custom fingerprints/classifiers.
7. Managed + unmanaged SaaS controls.
8. Encrypted traffic inspection where appropriate.
9. Audit/forensics showing exactly what data moved and where.
10. User coaching/justification to reduce people working around the controls.

Palo Alto's Enterprise DLP, for example, has recently added inspection of non-file web traffic, specifically targeting exfiltration through collaboration applications, web forms, cloud applications and social media.

My recommendation by environment

If I were designing the architecture:

• Mixed SaaS/cloud environment: → Netskope One
• Almost entirely Microsoft 365/Azure/Entra: → Microsoft Purview
• Already running Palo Alto SASE: → Prisma Access + Enterprise DLP
• Already running Zscaler: → Zscaler DLP
• Primary concern is insider/data-flow visibility rather than network security: → Cyberhaven

The key distinction is that DLP alone isn't the complete solution. For serious exfiltration prevention, I would pair DLP + CASB/SSE + endpoint DLP + identity/risk context, with the DLP engine enforcing the actual data policies.

If you tell me your environment (e.g. Microsoft 365, Google Workspace, AWS/Azure/GCP, Salesforce, Slack, GitHub, ChatGPT/AI apps, number of users, and whether you already have Zscaler/Palo Alto/Microsoft E5), I can narrow this down to a specific architecture and vendor choice.