Buyer's Guide: Data Loss Prevention (DLP)

Section 1

Executive Summary

Data Loss Prevention (DLP) classifies sensitive data and stops exfiltration across endpoint, network, email, and cloud. Choosing a DLP solution like Microsoft Purview, Symantec, Forcepoint, or Netskope depends on data-classification accuracy, channel coverage, and operational tuning burden. Accurate classification and careful tuning are critical for a sustainable program, preventing false positives that lead businesses to route around controls.

DLP fails more often from false positives than from missed leaks — block too aggressively on day one and the business simply routes around the controls you just paid for.

Microsoft Purview, Symantec (Broadcom), Forcepoint, and Netskope approach data loss prevention from different origins — native M365 governance, mature enterprise DLP, risk-adaptive behavioral enforcement, and cloud- and SSE-native delivery. They share the same core job of classifying sensitive data and stopping exfiltration across endpoint, network, email, and cloud, and the same hard truth: accurate classification and careful tuning matter far more than the breadth of the policy catalog.

This guide provides a vendor-neutral evaluation framework for 8 leading platforms, weighing data-classification accuracy, channel coverage across endpoint, network, email, and cloud, and operational tuning burden so you can run DLP as a sustainable program rather than an alert firehose.

Section 2

Why Data Loss Prevention (DLP) Matters for Enterprise Strategy

Data Loss Prevention (DLP) matters for enterprise strategy because it protects sensitive data across endpoints, email, and cloud apps. Effective DLP relies on accurate classification and low false-positive rates to ensure the system protects the right data without overwhelming analysts. Strategic DLP programs unify data protection across channels and converge with insider-risk and DSPM for contextual alerts.

DLP selection is dominated by two realities that demos gloss over: classification accuracy determines whether the system protects the right data, and false-positive rates determine whether the business can live with it. Channel coverage matters — data leaks from endpoints, email, and cloud apps alike — but a platform you can tune to high signal beats a broader one that buries analysts in noise.

🎯

Strategic Impact

Three questions decide a DLP program more than any feature comparison: (1) How accurately can the engine classify your sensitive data — and what false-positive rate does that imply once it is live? (2) Do you cover every egress channel with one consistent policy, or stitch together embedded DLP across consoles that don’t talk? (3) How far do you converge with insider-risk and DSPM so a leak alert arrives with context, instead of as an isolated content hit your analysts must chase blind?

DLP is converging into SSE and broader insider-risk and data-security platforms, with machine learning increasingly driving classification and detection. Weigh how each vendor unifies data protection across channels and how its classification adapts to your data, because fragmented, static DLP is exactly what generates the false positives that erode the whole program.

Section 3

Should you build or buy Data Loss Prevention (DLP)?

You should buy DLP, not build it, as content-inspection engines and policy packs require years of work. The architectural decision is whether to buy a dedicated enterprise-DLP suite or leverage embedded DLP in existing platforms like M365, SSE/SASE, or email gateways. This choice depends on required channel coverage, convergence with insider risk, and tolerance for a single vendor.

Nobody builds DLP from scratch — the content-inspection engines, classifier libraries, and regulatory policy packs represent years of work no enterprise can replicate. The real decision is architectural: do you buy a dedicated enterprise-DLP suite that spans every channel, or lean on the DLP already embedded in the platforms you own (the SSE/proxy, the email gateway, the M365 or Workspace tenant)? That choice turns on how many channels you must cover with one consistent policy, how much you want to converge with insider-risk and DSPM, and whether you can tolerate a single vendor owning your data-security posture.

Your Situation	Recommended Path	Rationale
Microsoft 365-centric with data living in Exchange, SharePoint, OneDrive, Teams	Start with embedded DLP (Purview)	If you already license E5/Purview, native classification and Endpoint DLP cover the bulk of your data at no incremental product cost; add a dedicated suite only where coverage outside the Microsoft estate proves thin.
SSE/SASE rollout already underway for web and SaaS traffic	Use the SSE-embedded DLP inline	When traffic already flows through a Zscaler or Netskope edge, turning on inline DLP there avoids a second data path and gives one policy across web, SaaS, and (increasingly) GenAI prompts — reserve standalone DLP for endpoint and on-prem repositories.
Broad multi-channel mandate spanning endpoint, network, email, storage, and unsanctioned cloud	Dedicated enterprise-DLP suite	Embedded DLP fragments policy across consoles; a purpose-built suite (Symantec, Forcepoint, Trellix, Palo Alto Enterprise DLP) gives one classification model and one incident workflow across every egress channel.
Insider risk is the real driver, not accidental leakage	Converge DLP with IRM/UEBA	Static content rules miss the malicious insider; pair DLP with behavioral risk scoring (Forcepoint Risk-Adaptive, Purview Adaptive Protection, Proofpoint) so enforcement tightens around risky users instead of blocking everyone.
Email is the dominant exfiltration channel and misdirected mail is the top incident	Email-led DLP (Proofpoint)	Where most loss is human error in email, behavioral email DLP that warns the user before a misdirected or risky send prevents more incidents than a heavyweight endpoint agent ever will.

⚠️

Common Pitfall

The most common DLP mistake is switching on broad blocking policies from day one — flooding security with false positives, disrupting legitimate work, and training users to route around the controls until enforcement gets quietly disabled. Start in monitoring mode, tune policies against real data flows with named data owners, and expand enforcement gradually. DLP is an ongoing program built on accurate classification, not a product you install and forget.

Section 4

How do you evaluate Data Loss Prevention (DLP)?

DLP is unusual among security tools in that its value and its cost are the same variable: classification accuracy. A platform that classifies your sensitive data precisely protects the right things and generates a livable alert volume; one that classifies crudely either misses leaks or buries analysts in false positives until enforcement is abandoned. Weight these domains accordingly — classification accuracy and channel coverage should dominate, with the operating model and convergence story close behind. The breadth of the out-of-the-box policy catalog, which vendors love to count, matters far less than how the engine behaves on your data.

Capability Domain	Weight	What to Evaluate
Classification Accuracy & Detection	30%	Exact data match (EDM) and indexed/document matching for structured records, ML and trainable classifiers for unstructured content, fingerprinting, OCR on images and screenshots, and the false-positive rate observed on YOUR data — not the vendor’s sample set
Channel Coverage & Enforcement	25%	Consistent policy across endpoint (USB, clipboard, print, local sync), network/web, email, sanctioned and unsanctioned cloud/SaaS, and increasingly GenAI prompts — with real enforcement (block, encrypt, quarantine, justify) on each channel, not just monitoring
Insider Risk & Behavioral Context	15%	Risk-adaptive enforcement that tightens around high-risk users, UEBA and activity timelines, integration with IRM, and the ability to back-test a new policy against historical activity before it goes live
Data Discovery & DSPM Convergence	15%	At-rest discovery across endpoints, file shares, databases, and cloud stores; data-security-posture visibility (where sensitive data lives, who can access it); and whether discovery, DLP, and DSPM share one classification model and console
Tuning, Operations & Incident Workflow	10%	Quality of the incident queue and remediation workflow, policy simulation/monitor mode, end-user coaching and self-remediation, SIEM/SOAR/XDR integration, and the realistic FTE load to run the program day to day
Deployment Model & Architecture	5%	Cloud-delivered vs. on-prem servers and appliances, endpoint agent footprint and performance impact, data residency for incident evidence, and fit with an existing SSE/SASE or M365/Workspace estate

💡

Evaluation Tip

Run the POC against your own corpus, not the vendor’s. Build an EDM index from a real table of sensitive records (a sample of customer or employee PII) and a fingerprint set from genuine confidential documents, then push known-sensitive and known-benign traffic through every channel you care about. Score each platform on the same two numbers: how many real leaks it catches and how many false positives it raises per thousand events. The vendor with the best signal-to-noise on your data — not the longest list of pre-built policies — is the one your analysts can actually live with for the next three years.

Section 5

Which vendors lead in Data Loss Prevention (DLP)?

For DLP, consider dedicated enterprise suites like Broadcom (Symantec), Forcepoint, Trellix, and Palo Alto. SSE-native options include Zscaler and Netskope, while platform-embedded DLP comes from Microsoft Purview and Google. Proofpoint also offers strong email and insider DLP. Your choice often depends on existing infrastructure and ownership, which has significantly reshaped the market.

8 vendors evaluated — positioning and best fit at a glance
Vendor	Positioning	Best for
Microsoft Purview DLP	Leader — M365-Embedded	Microsoft-centric organizations whose sensitive data already lives in M365 and who want DLP and insider risk on one license
Symantec Data Loss Prevention	Leader — Enterprise Suite	Large, regulated enterprises that need the broadest channel coverage and richest policy library and can staff a dedicated DLP program
Forcepoint DLP	Leader — Risk-Adaptive	Organizations whose primary concern is the malicious or negligent insider and who want enforcement that adapts to user risk rather than blocking everyone equally
Zscaler Data Protection	Leader — SSE-Native	Enterprises standardizing on Zscaler SSE/SASE that want inline data protection for web, SaaS, and GenAI traffic without standing up separate DLP infrastructure
Netskope One DLP	Leader — SSE-Native	Cloud-first organizations on (or adopting) Netskope SASE that need granular SaaS and inline cloud DLP unified with data-posture management
Proofpoint	Strong — Email & Insider	Organizations where email is the dominant exfiltration channel and human error or the malicious insider — not network egress — drives most incidents
Trellix Data Loss Prevention	Strong — Endpoint Heritage	Endpoint-centric enterprises — especially existing McAfee/Trellix and ePO shops — that want strong data-in-use controls and on-prem discovery
Palo Alto Networks Enterprise DLP	Strong — Cloud-Delivered	Palo Alto Networks customers wanting consistent, cloud-delivered data protection layered onto their existing firewalls and Prisma Access footprint

The DLP market has fractured into three camps, and most shortlists end up comparing across them rather than within. Dedicated enterprise-DLP suites — Symantec (now Broadcom), Forcepoint, Trellix, and Palo Alto’s cloud-delivered Enterprise DLP — chase one classification model and one incident workflow across every channel. SSE-native DLP from Zscaler and Netskope folds inline data protection into the same edge that already proxies web and SaaS traffic, winning on convenience where that edge is already deployed. And platform-embedded DLP — Microsoft Purview inside the M365 estate, Google’s DLP across Workspace and its Cloud Sensitive Data Protection — ships “free enough” with seats you already own and covers the data that lives there well, while leaving gaps everywhere else.

Ownership has reshaped the field more than any feature release. Trellix is the 2022 fusion of McAfee Enterprise and FireEye under Symphony Technology Group; its DLP line (Endpoint, Network Prevent, Discover) is the former McAfee suite, while the McAfee SSE/CASB business spun off separately as Skyhigh Security. Symantec’s DLP — long the category benchmark — now lives inside Broadcom. Forcepoint’s commercial business is held by Francisco Partners, having divested its government arm to TPG (rebranded Everfox) in 2024. And Proofpoint, owned by Thoma Bravo, has bought its way deeper into data security — Tessian for behavioral email DLP, Normalyze for DSPM. Read every roadmap through the lens of who now owns it.

Microsoft Purview DLP

Leader — M365-Embedded

Strengths: Native enforcement across Exchange, SharePoint, OneDrive, Teams, and Windows/macOS endpoints, sharing one classification model (sensitivity labels, trainable classifiers) with the rest of Purview. Adaptive Protection links Insider Risk Management to DLP so policies tighten automatically around risky users, and much of it rides E5/Purview Suite licensing many enterprises already own. Considerations: Coverage drops off sharply outside the Microsoft estate — non-Microsoft SaaS, third-party email, and unmanaged endpoints need other tooling. Endpoint DLP and the full feature set sit behind E5 or the Purview Suite add-on, policy authoring across the compliance portal is intricate, and detection quality leans heavily on how well you train the classifiers.

Best for: Microsoft-centric organizations whose sensitive data already lives in M365 and who want DLP and insider risk on one license

Symantec Data Loss Prevention

Leader — Enterprise Suite

Strengths: The most mature multi-channel enterprise DLP, covering endpoint, network, web, email, storage, databases, and sanctioned/unsanctioned cloud under one policy framework, with deep content inspection, EDM/IDM, and an extensive regulatory policy library. Ties into CloudSOC CASB and Information Centric Analytics for cloud reach and user-risk context. Considerations: Now a Broadcom asset, which has left some customers wary about pricing posture and account attention; the architecture is server- and appliance-heavy and modernizes deliberately rather than quickly; deployment and ongoing tuning are genuinely complex, and the endpoint agent carries a footprint to plan for.

Best for: Large, regulated enterprises that need the broadest channel coverage and richest policy library and can staff a dedicated DLP program

Forcepoint DLP

Leader — Risk-Adaptive

Strengths: Strong enterprise-grade classification paired with Risk-Adaptive Protection, which scores user behavior and dials enforcement up or down per individual — cutting noise for low-risk users while clamping down on the genuinely risky. Now extends into Data Detection & Response (DDR) and DSPM for data-in-motion context, and integrates with its own SSE for cloud channels. Named a Leader in IDC’s 2025 Worldwide DLP MarketScape. Considerations: Smaller install base and partner ecosystem than Microsoft or Broadcom; the risk-adaptive value depends on feeding it good behavioral telemetry and tuning the scoring; the post-Everfox commercial business is still consolidating its data-security portfolio under Francisco Partners.

Best for: Organizations whose primary concern is the malicious or negligent insider and who want enforcement that adapts to user risk rather than blocking everyone equally

Zscaler Data Protection

Leader — SSE-Native

Strengths: Inline DLP delivered natively from the Zero Trust Exchange, so traffic that already traverses Zscaler for web and SaaS gets data inspection on the same path — no extra appliances or data hops. Inline Exact Data Match scales to very large reference sets to drive false positives toward near-zero, with endpoint DLP, CASB, and DSPM rounding out the data story. Named a Leader in IDC’s 2025 Worldwide DLP MarketScape. Considerations: Strongest precisely where traffic flows through the Zscaler edge; off-network and on-prem repository coverage is less of a fit. Value is bound to broader Zscaler platform adoption, and organizations not already committed to its SSE will weigh DLP as one part of a larger architectural bet.

Best for: Enterprises standardizing on Zscaler SSE/SASE that want inline data protection for web, SaaS, and GenAI traffic without standing up separate DLP infrastructure

Netskope One DLP

Leader — SSE-Native

Strengths: Cloud-native DLP with one of the deepest SaaS and cloud-app inspection capabilities, a single policy framework spanning web, SaaS, email, endpoint, and AI environments, and a large library of data classifiers plus ML classification, EDM, IDM, and OCR. Unifies DLP with DSPM on one architecture and coaches users in real time at the moment of a risky action. Named a Leader in IDC’s 2025 Worldwide DLP MarketScape. Considerations: Best value is realized inside the Netskope One SASE platform rather than as a standalone product; on-prem and deep endpoint scenarios are less central than its cloud strengths; pricing tracks the broader platform, so DLP is rarely bought in isolation.

Best for: Cloud-first organizations on (or adopting) Netskope SASE that need granular SaaS and inline cloud DLP unified with data-posture management

Proofpoint

Strong — Email & Insider

Strengths: Approaches data loss from the human angle — behavioral email DLP that warns users before a misdirected or risky send (strengthened by the Tessian acquisition), combined with insider threat management that correlates content with user activity. The Normalyze acquisition adds agentless DSPM for sensitive-data discovery, building toward a people-and-data-centric platform. Considerations: Strongest in email and insider-risk channels; network and deep endpoint DLP are less of a focus than for the dedicated suites, so broad multi-channel mandates may need a second tool. The DSPM and email-DLP pieces are still integrating, and the whole portfolio sits under Thoma Bravo ownership.

Best for: Organizations where email is the dominant exfiltration channel and human error or the malicious insider — not network egress — drives most incidents

Trellix Data Loss Prevention

Strong — Endpoint Heritage

Strengths: The former McAfee enterprise DLP suite — DLP Endpoint, Network Prevent, and Discover — with strong, mature endpoint controls (data-in-use inspection, USB/clipboard/print, encryption) managed from the ePO console, and discovery that crawls endpoints and repositories. Increasingly positioned within Trellix’s broader XDR fabric for cross-signal detection. Considerations: Carries the organizational baggage of the McAfee Enterprise + FireEye merger under STG; the cloud/SSE story is comparatively thin because that business left as Skyhigh Security, so cloud-channel coverage often relies on partners; the platform reads as evolved-legacy rather than cloud-first.

Best for: Endpoint-centric enterprises — especially existing McAfee/Trellix and ePO shops — that want strong data-in-use controls and on-prem discovery

Palo Alto Networks Enterprise DLP

Strong — Cloud-Delivered

Strengths: Cloud-delivered DLP enforced as a service across the Palo Alto estate — NGFWs, Prisma Access, and Prisma SaaS — so one classification engine (regex, ML, EDM, fingerprinting) protects network, SaaS, browser, and GenAI traffic without separate on-prem DLP appliances. Increasingly applies ML to suppress false positives and supports regional evidence storage for data sovereignty. Considerations: Most compelling for organizations already invested in Palo Alto’s network and SASE platform; standalone endpoint DLP is less of a focus than the inline/cloud path; realizing the value assumes traffic routes through Palo Alto enforcement points.

Best for: Palo Alto Networks customers wanting consistent, cloud-delivered data protection layered onto their existing firewalls and Prisma Access footprint

🔎

Market Insight

Standalone DLP is dissolving into data security. Gartner retired its dedicated Enterprise DLP Magic Quadrant years ago precisely because the capability stopped being a category and became a feature — woven into SSE, email security, endpoint, and the M365/Workspace platforms. The live decision now is convergence: buyers are pulling DLP together with insider risk management (IRM), data-security-posture management (DSPM), and data detection & response (DDR) so a leak alert arrives enriched with who the user is and how the data has moved — not as an isolated content hit. The next differentiator is GenAI: every serious vendor is racing to inspect prompts and block sensitive data from flowing into AI tools, and that capability is moving from roadmap to table stakes.

Section 6

How much should you budget for Data Loss Prevention (DLP)?

DLP budgeting primarily involves per-user subscription costs, but the largest expense is operational: FTE time for policy tuning and incident response. Total cost also depends on whether DLP is embedded in existing licenses like Microsoft Purview in E5 or Zscaler Data Protection within SSE platforms, versus standalone suites. Add-on modules for insider risk or DSPM from vendors like Symantec or Forcepoint further impact the bill.

DLP pricing is mostly per-user subscription, but the headline rate is the small number. The cost that actually decides three-year TCO is operational: the FTE time to author and tune policies, work the incident queue, and chase down false positives. A platform that is cheaper per seat but classifies crudely can cost far more once you staff the alert volume it generates. Two structural choices also swing the bill — whether DLP is embedded in a license you already hold (Purview inside E5, DLP inside an SSE platform) versus bought as a standalone suite, and whether you pay for add-on modules (insider risk, DSPM, network, discovery) that vendors unbundle.

Vendor	Pricing Model	Relative Tier	Key Cost Drivers
Microsoft Purview DLP	Per-user; bundled in E5 / Purview Suite add-on	Lower if you own E5	Whether E5/Purview Suite is already licensed, Endpoint DLP and Insider Risk add-ons, classifier-training and tuning effort
Symantec DLP	Per-user (or per-channel) perpetual or subscription	Premium	Seat count, which channel modules (endpoint, network, cloud, discover), server/appliance footprint, Broadcom contract terms, tuning FTE
Forcepoint DLP	Per-user subscription + risk-adaptive/DDR add-ons	Moderate–Premium	User count, Risk-Adaptive Protection and DDR/DSPM modules, channel breadth, behavioral-telemetry and tuning effort
Zscaler Data Protection	Per-user, within SSE platform bundles	Bundle-dependent	User count, DLP/CASB/DSPM bundle edition, whether the Zscaler SSE platform is already in place, inline EDM data-set scale
Netskope One DLP	Per-user, within SASE platform bundles	Bundle-dependent	User count, SSE/SASE bundle tier, DSPM and advanced-classification add-ons, breadth of SaaS apps under policy
Proofpoint	Per-user subscription; email + DLP/insider bundles	Moderate	User count, which products (email DLP, insider threat management, Normalyze DSPM), existing Proofpoint email footprint
Trellix DLP	Per-node/per-user perpetual or subscription	Moderate	Endpoint node count, modules licensed (Endpoint, Network Prevent, Discover), ePO infrastructure, support tier
Palo Alto Enterprise DLP	Per-user cloud service, add-on to NGFW/Prisma	Add-on to platform	User count, whether NGFW/Prisma Access/Prisma SaaS is already deployed, data volume scanned, regional evidence-storage needs

3-Year TCO Formula

TCO = (Per-User License × Users × 36 months) + Channel/Add-on Modules + Deployment & Integration + Classifier & Policy Tuning + Incident-Response & False-Positive FTE − Avoided Breach & Regulatory Exposure

Section 7

How long does implementation take for Data Loss Prevention (DLP)?

DLP implementation typically takes 7-12 months, broken into phases. The initial Discover & Classify phase spans 1-2 months, followed by 2-4 months for Monitor & Baseline. Selective enforcement then occurs over months 4-7, before converging and operating from months 7-12. This phased approach prioritizes earning enforcement over immediate, broad blocking.

DLP rollouts fail in enforcement, not deployment — the agents install fine; the program dies when day-one blocking floods the business with false positives and trust evaporates. Sequence the work to earn enforcement: discover and classify first, watch in monitor mode second, and only then enforce, channel by channel, with named data owners signing off on each policy. Resist the urge to protect everything at once.

Phase 1

Discover & Classify (Months 1–2)

Inventory where sensitive data actually lives — endpoints, file shares, databases, M365/Workspace, SaaS — and define the handful of data types that matter most. Build EDM/IDM indexes from real records and fingerprints from genuine confidential documents, and assign a named owner to each data class. Classification quality set here determines everything downstream.

Phase 2

Monitor & Baseline (Months 2–4)

Deploy in monitor-only mode across your priority channels and watch real data flows without blocking anything. Measure the false-positive rate per data type, tune classifiers and policies against what you see, and identify the legitimate business workflows that naive rules would break. Establish the incident queue and triage workflow before any enforcement goes live.

Phase 3

Enforce Selectively (Months 4–7)

Turn on enforcement one channel and one high-confidence data type at a time — start where precision is highest (EDM on structured records, the dominant exfiltration channel) and use end-user coaching and self-remediation before hard blocks. Add risk-adaptive enforcement so controls tighten around high-risk users rather than penalizing everyone.

Phase 4

Converge & Operate (Months 7–12)

Extend coverage to remaining channels (including GenAI prompts), wire DLP into the SOC via SIEM/SOAR and into IRM/DSPM for cross-signal context, and stand up steady-state operations: policy change control, periodic re-tuning, and metrics on caught leaks versus analyst load. DLP is a standing program, not a project that closes.

Section 8

What should you ask vendors about Data Loss Prevention (DLP)?

Use this checklist during evaluation to confirm each shortlisted platform covers what actually decides whether a DLP program survives contact with the business.

Questions buyers ask

Frequently asked questions about Data Loss Prevention (DLP)

When is Microsoft Purview DLP a genuinely sufficient solution, and when should we look at a dedicated suite like Symantec or Forcepoint?

Microsoft Purview DLP is sufficient for Microsoft 365-centric organizations with data primarily in Exchange, SharePoint, OneDrive, and Teams, especially if already licensed for E5. A dedicated suite like Symantec or Forcepoint is needed when coverage outside the Microsoft estate is thin, or for broad multi-channel mandates spanning endpoint, network, email, storage, and unsanctioned cloud.

We’re already rolling out Zscaler SSE. Does their embedded DLP mean we can avoid Proofpoint or Trellix entirely?

Yes, if traffic already flows through the Zscaler edge for web and SaaS, using their SSE-embedded DLP avoids a second data path and provides one policy across web, SaaS, and GenAI prompts. You would reserve standalone DLP like Proofpoint or Trellix for endpoint and on-prem repositories not covered by Zscaler’s inline inspection.

What are the hidden costs or common surprises when budgeting for Symantec DLP compared to a platform like Netskope One DLP?

Symantec DLP’s costs can be surprising due to its server/appliance footprint, Broadcom contract terms, and the tuning FTE required for its deep content inspection. Netskope One DLP’s costs are more tied to user count and its SASE platform bundle tier, with value realized within the platform rather than as a standalone product.

Our primary concern is insider risk, not accidental data leakage. Should we still consider a broad DLP suite or focus on a specialized vendor?

For insider risk, converge DLP with IRM/UEBA. Static content rules miss malicious insiders. Pair DLP with behavioral risk scoring from vendors like Forcepoint Risk-Adaptive Protection, Purview Adaptive Protection, or Proofpoint, so enforcement tightens around risky users instead of blocking everyone, which a broad suite might not prioritize as deeply.

We’re a smaller organization with limited IT staff. Is a 'premium' solution like Symantec DLP overkill, and would Proofpoint be a better fit if email is our main concern?

Yes, Symantec DLP, with its server- and appliance-heavy architecture and need for dedicated staff, might be overkill. If email is the dominant exfiltration channel and human error or malicious insiders drive most incidents, Proofpoint’s behavioral email DLP and insider threat management would be a more focused and potentially easier-to-manage solution.

Section 9

Related Resources

Buyer Guide Data Privacy Platforms Manage privacy compliance alongside data loss prevention Buyer Guide Email Security Protect the primary data exfiltration channel Buyer Guide CASB Extend DLP policies to SaaS applications Glossary DLP Data Loss Prevention technologies and strategies