Secure the front door. Email is where most attacks arrive — Zscaler Data Protection is Zscaler’s unified data protection platform — inline DLP, CASB, SaaS posture (SSPM), data posture (DSPM), endpoint & email DLP — protecting sensitive data across web, SaaS, cloud, endpoint and email from one platform, in motion and at rest — inline, because Zscaler is already in the path.
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This page covers Zscaler Data Protection — unified DLP + CASB. The rest of the Zscaler platform:
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
Zscaler’s unified data protection platform — inline DLP, CASB, SaaS posture (SSPM), data posture (DSPM), endpoint and email DLP — protecting sensitive data across web, SaaS, cloud, endpoint and email from one platform, in motion and at rest, with one policy.
What consolidation actually replaces, dimension by dimension.
| Dimension | Unprotected / signature email | Zscaler Data Protection (Zscaler) |
|---|---|---|
| Coverage | A point tool per channel | One platform, every channel |
| Policy | Five different definitions | One policy, everywhere |
| Data in motion | Bolt-on DLP, retrofit | Inline — already in the path |
| Encrypted traffic | Blind spot | Full SSL/TLS in context |
| Data at rest | Unseen exposure | SSPM + DSPM (posture) |
| Classification | Keyword false positives | AI/ML + exact data match |
| Vendors | Many point vendors | Single vendor, one console |
| Scale | Tool limits | 500B+ transactions/day platform |
Zscaler Data Protection is the unified data protection platform — inline DLP, CASB, SaaS posture (SSPM), data posture (DSPM), endpoint & email DLP — protecting sensitive data across web, SaaS, cloud, endpoint and email from one platform, in motion and at rest, inline because Zscaler is already in the path. Part of the Zero Trust Exchange. Deepest cloud data security? Netskope. All-Microsoft? Purview. Traditional DLP? Forcepoint/Symantec. TechBag scopes, consolidates and handles GST (Zscaler bills USD).
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
Zscaler Data Protection protects sensitive data across every channel — web, SaaS, cloud, endpoint and email — from ONE platform, with one set of policies, instead of a different point tool per channel. Unified data protection, not a patchwork. One policy, everywhere data goes.
Because Zscaler already inspects ALL traffic inline (full SSL/TLS at scale via ZIA), it enforces DLP inline, in real time, across all that traffic — a structural advantage over bolt-on DLP that has to be inserted into the path. Data protection where the data already flows. Stop the leak as it happens.
Beyond data in motion, it secures data AT REST — discovering and fixing exposure in SaaS (SSPM) and cloud data stores (DSPM), finding where sensitive data lives and how it's exposed. Not just the traffic — the data wherever it sits. Motion and rest, unified.
Classify sensitive data accurately — with AI/ML classification and exact data match (EDM) — so you catch real sensitive data (not noise) and enforce the right policy. Fewer false positives, real protection. Know what's sensitive, precisely.
Runs on the Zero Trust Exchange — 500B+ transactions a day across 150+ data centres — the world's largest inline cloud platform, so DLP is enforced at scale, close to the user, with a huge data advantage feeding AI. Scale that bolt-on DLP can't match. Global, always-on, in-line.
One agent on every machine, one console over all of them — modules attach without a second operational world.
Zscaler Data Protection protects your sensitive data across every channel — web, SaaS, cloud, endpoint and email — inline (already in the path) and at rest — a core pillar of portfolio, and paired with the human firewall.
Classify sensitive data accurately with AI/ML — recognising sensitive content (PII, PCI, PHI, IP, source code) with far fewer false positives than keyword-only rules. Know what's sensitive, precisely. Accurate classification, the foundation.
Fingerprint your exact sensitive records — customer lists, account numbers, health records — so DLP matches YOUR real data precisely, not just patterns. Match your data, not a guess. Precision detection for what matters.
Discover misconfigurations and risky exposure across your SaaS apps (Microsoft 365, Google, Salesforce, and more) — finding where sensitive data is over-shared or exposed. See the SaaS risk you can't see. Fix exposure at rest.
Discover where sensitive data lives across cloud data stores, how it's classified and how it's exposed — so you find and fix data risk at rest, before it leaks. Know where your data is, and its risk. Data-at-rest, mapped.
Prevent sensitive data leaving — to the web, SaaS or cloud — inline, in real time, because Zscaler is already in the traffic path. The structural edge over bolt-on DLP. Stop the leak as it happens, everywhere.
Extend the same data policy to the endpoint — controlling sensitive data on removable media, printers and local channels — so protection covers the device, not just the network. Same policy, on the endpoint too. Cover the last mile.
Protect sensitive data leaving via email — inspecting and controlling outbound email so confidential data isn't sent where it shouldn't go. Close the email leak channel. Data protection reaches your email, too.
Govern how sensitive data is used across sanctioned and shadow SaaS — inline CASB (in the traffic) and out-of-band API CASB (scanning data at rest in SaaS) — so you see and control cloud app data use. Control the SaaS you can't see. Govern cloud data.
Because Zscaler inspects ALL encrypted traffic at scale, DLP sees data leaving in encrypted channels too — no encrypted blind spot where data quietly exfiltrates. See the data in the encrypted traffic. No hidden leak path.
Define data policy once and enforce it consistently across web, SaaS, cloud, endpoint and email — no per-channel drift, no gaps between tools. Consistent protection wherever data goes. Set once, enforce everywhere.
Investigate and respond to data incidents with clear context (who, what, where, which policy) and workflow — so security teams act on real risk, not noise. Turn detections into action. Respond to the incidents that matter.
Processing 500B+ transactions a day gives Zscaler a huge security data lake — fuelling AI-powered classification and detection, and improving accuracy over time. Scale that feeds smarter data protection. The data advantage, applied.
The overview, getting started, and protecting M365 email.
The platform Data Protection runs on.
The zero-trust architecture, explained.
Securing users — and the data they touch.
Want a live, India-context walkthrough on your own fleet?
Book a guided demo →Here’s what genuinely sets Zscaler Data Protection apart (and when a rival fits).
The defining reason Zscaler Data Protection is chosen is that it protects sensitive data across EVERY channel — web, SaaS, cloud, endpoint and email — from one platform, with one set of policies, instead of a fragmented patchwork of point tools. The problem it solves: sensitive data no longer lives in one place. It spreads across SaaS apps (Microsoft 365, Google Workspace, Salesforce), cloud data stores, the web, endpoints and email. Traditionally you protected each channel with a different tool — a web DLP, a separate CASB, a standalone endpoint DLP, an email DLP, a separate SaaS/data posture tool — each with its own policies, its own console, its own classifiers. The result is fragmented and leaky: policies drift between tools, gaps open between channels, the same 'sensitive data' is defined five different ways, and data quietly escapes through the seams. Managing five point tools is expensive, inconsistent, and full of holes. What Zscaler Data Protection provides: it unifies data protection on one platform: One platform, every channel — inline DLP (web/SaaS/cloud), CASB, SSPM, DSPM, endpoint DLP and email DLP, together. One set of policies — define 'sensitive data' and the rules ONCE, and enforce them consistently everywhere, with no per-channel drift or gaps. Consistent classification — the same AI/ML classification and exact data match across all channels, so 'sensitive' means the same thing everywhere. One console — one place to set policy, see incidents and respond. So you get consistent, complete data protection across every channel data travels or rests — not a leaky patchwork of point tools. Why it matters: unifying data protection matters hugely — it closes the gaps between channels (where data leaks), makes policy consistent (so 'sensitive' is defined once), cuts the cost and complexity of running five tools, and gives one clear view of data risk. In a world where data is everywhere, unified protection is the only model that actually holds. The value: Zscaler Data Protection protects sensitive data across every channel — web, SaaS, cloud, endpoint and email — from one platform, one policy, closing the gaps a patchwork of point tools leaves open. For consistent, complete data protection, this matters. TechBag helps organisations consolidate point DLP/CASB tools onto Zscaler Data Protection. TechBag helps you protect data everywhere, consistently, from one platform.
A critical strength of Zscaler Data Protection is that it enforces DLP INLINE, in real time — because Zscaler is already in the traffic path — a structural advantage that bolt-on DLP tools, which must be inserted into the path, don't have. The problem it solves: to prevent data loss in motion, DLP has to see the traffic and act on it in real time. But most DLP tools aren't naturally in the traffic path — they have to be inserted (via proxies, forwarding, agents or API polling), which is complex to deploy, often only covers some traffic, and can be blind to encrypted traffic (where data quietly exfiltrates) or act only after the fact (API-based, out-of-band, so it detects a leak after it happened, not prevents it). Bolt-on DLP is inherently a retrofit — partial coverage, deployment friction, and gaps. What Zscaler Data Protection provides: because Zscaler is ALREADY inline (via ZIA's cloud-native proxy, inspecting all traffic including full SSL/TLS at scale), DLP rides on that path natively: Inline, in real time — DLP inspects traffic AS IT FLOWS and prevents sensitive data leaving in real time, not after the fact. All traffic, including encrypted — because Zscaler inspects all SSL/TLS at scale, DLP sees data leaving in encrypted channels too (no encrypted blind spot). No retrofit — no separate proxy to insert, no forwarding to engineer; the DLP is on the path Zscaler already owns. At scale — enforced across 500B+ transactions a day, close to every user. So DLP is enforced where the data already flows, in real time, across all traffic including encrypted — the structural advantage of being in the path already. Why it matters: being inline already is a genuine, structural edge — it means real-time prevention (not after-the-fact detection), full coverage (including encrypted traffic, the biggest blind spot), and no retrofit friction. For preventing data loss in motion, this in-the-path position is a real differentiator versus bolt-on DLP. The value: Zscaler Data Protection enforces DLP inline, in real time, across all traffic (including encrypted) — because Zscaler is already in the path — a structural advantage over bolt-on DLP. For real-time data-loss prevention, this matters. TechBag helps organisations get inline, real-time DLP with Zscaler. TechBag helps you stop data loss in the path, as it happens.
A key strength of Zscaler Data Protection is that it protects data not only IN MOTION (inline DLP) but also AT REST — discovering and fixing exposure in SaaS (SSPM) and cloud data stores (DSPM) — so protection covers data wherever it lives, not just as it moves. The problem it solves: data-loss prevention has traditionally focused on data in motion — stopping data leaving. But a huge amount of risk is data at REST: sensitive data sitting over-shared in SaaS (a public link, an over-permissive folder), or sprawled across cloud data stores you've lost track of, misclassified or exposed. If you only watch data in motion, you miss the exposure that's already there — the sensitive data quietly over-shared or mislocated, waiting to leak. Watching only the traffic leaves the data-at-rest risk unseen. What Zscaler Data Protection provides: it adds posture management for data at rest: SaaS Security Posture (SSPM) — discover misconfigurations and risky exposure across SaaS apps (over-shared files, risky settings), and fix them. Data Security Posture (DSPM) — discover where sensitive data lives across cloud data stores, how it's classified, and how it's exposed — so you find and fix data risk at rest. Unified with motion — the same platform, the same classification and policy that protect data in motion also govern data at rest, for one consistent view of data risk. So you see and fix the exposure that's already sitting in your SaaS and cloud — not just watch the traffic — for complete data protection across motion AND rest. Why it matters: covering data at rest matters because a great deal of real data risk is exposure that already exists (over-shared, mislocated, misclassified) — and inline DLP alone can't see it. SSPM and DSPM close that gap, so you find and fix exposure before it becomes a leak. Motion + rest, unified, is genuinely more complete than motion-only DLP. The value: Zscaler Data Protection covers data at rest too — SaaS posture (SSPM) and data posture (DSPM) discover and fix exposure in your SaaS and cloud — unified with inline DLP for protection across motion AND rest. For complete data protection, this matters. TechBag helps organisations cover data at rest with Zscaler's SSPM/DSPM. TechBag helps you find and fix the exposure that's already there.
A strength that makes Zscaler Data Protection genuinely usable is accurate classification — AI/ML classification and exact data match (EDM) — so it catches your REAL sensitive data with far fewer false positives than keyword-only rules. The problem it solves: DLP is only as good as its ability to correctly identify sensitive data. Classic DLP relies heavily on keywords and simple patterns (regexes) — which produce a flood of false positives (blocking or alerting on things that aren't actually sensitive) and false negatives (missing sensitive data that doesn't match a pattern). The result is alert fatigue, blocked legitimate work, and a DLP nobody trusts (so policies get loosened until they don't protect anything). Bad classification makes DLP either annoying or useless. What Zscaler Data Protection provides: it classifies data accurately with modern techniques: AI/ML classification — machine-learning models recognise sensitive content (PII, PCI, PHI, intellectual property, source code) by understanding it, not just matching keywords — far fewer false positives. Exact data match (EDM) — fingerprint your EXACT sensitive records (your customer list, your account numbers, your health records) so DLP matches YOUR real data precisely, not a generic pattern. The data advantage — Zscaler's 500B+ transactions/day data lake helps train and improve classification accuracy over time. Consistent everywhere — the same accurate classification applies across all channels (web, SaaS, cloud, endpoint, email). So DLP catches the data that actually matters, with far less noise — which means people trust it, policies stay tight, and real data is protected. Why it matters: accurate classification is the difference between a DLP that works and one that gets switched off. Fewer false positives means less alert fatigue and less blocked legitimate work; EDM means you protect YOUR specific sensitive records precisely. Good classification is what makes data protection sustainable in practice. The value: Zscaler Data Protection classifies data accurately — AI/ML classification and exact data match — so it catches your real sensitive data with far fewer false positives, making DLP trustworthy and sustainable. For data protection that actually works, this matters. TechBag helps organisations tune accurate classification with Zscaler. TechBag helps you catch the real data, not the noise.
Zscaler Data Protection comes from Zscaler — the pure-play zero-trust leader (NASDAQ: ZS) — running on the Zero Trust Exchange at massive scale, with a MAJOR India presence, which matters because data protection is strategic and long-lived. The leader: Zscaler (NASDAQ: ZS, founded 2007 by Jay Chaudhry, still Chairman & CEO; $3.0B+ ARR growing ~22%, 8,600+ customers) is the recognised pure-play zero-trust leader — focused entirely on the Zero Trust Exchange. For your data-protection architecture, having it from the focused leader, on the platform you may already run for secure access (ZIA/ZPA), provides confidence and consolidation. Part of a platform: Data Protection is part of the Zero Trust Exchange, alongside ZIA (secure internet access), ZPA (private access) and ZDX (digital experience) — so it's not a bolt-on, it rides on the same inline platform, sharing the traffic path and the data advantage. If you already run Zscaler for access, data protection is a natural, single-vendor extension. Massive scale: 500B+ transactions a day across 150+ data centres — the world's largest inline platform — means DLP enforced at scale, close to users, with a huge data advantage feeding AI classification. MAJOR India presence: Zscaler has a large India footprint — with Bengaluru a key global R&D / core-platform development centre, plus Hyderabad, Mohali, Pune and Mumbai — a significant engineering base, local data centres, and marquee Indian customers. So Zscaler Data Protection is deeply relevant to Indian enterprises navigating data protection and the DPDP Act. Via TechBag (Bengaluru-based), Indian organisations get it with local scoping, licensing and GST invoicing. The value: Zscaler Data Protection — from Zscaler, the pure-play zero-trust leader, on the Zero Trust Exchange at massive scale, with a major India presence — is a strategic, well-supported choice for unified data protection. TechBag supplies it with local scoping and support. TechBag provides the leader's data protection, scoped and supported in India.
Zscaler Data Protection is Zscaler's unified data protection platform — inline DLP, CASB, SaaS posture (SSPM), data posture (DSPM), endpoint DLP and email DLP, protecting sensitive data across web, SaaS, cloud, endpoint and email from one platform, in motion and at rest. Part of the Zero Trust Exchange, from the pure-play zero-trust leader (NASDAQ: ZS). The honest framing — strengths, and competition: Zscaler Data Protection's strengths are unified protection across every channel (one platform, one policy), the structural advantage of enforcing DLP INLINE in real time (because Zscaler is already in the traffic path — including full SSL/TLS visibility), coverage of data at rest (SSPM + DSPM, not just motion), accurate classification (AI/ML + EDM), and single-vendor consolidation on the Zero Trust Exchange you may already run. The competitive landscape is strong, and honesty matters: Netskope is widely regarded as having the DEEPEST, most specialised cloud data security / DLP — it's Netskope's signature strength — so for the very deepest, most specialised data security, some organisations choose Netskope. Microsoft Purview is the natural choice if you're all-Microsoft and want data protection native to the Microsoft 365 / Azure estate. Palo Alto (Prisma / Enterprise DLP) is strong, especially in a Palo Alto ecosystem. Forcepoint and Symantec/Broadcom are the traditional DLP leaders with deep, mature enterprise DLP. So the honest positioning: for the DEEPEST, most specialised cloud data security some choose Netskope; if you're all-Microsoft, Purview; for traditional enterprise DLP heritage, Forcepoint or Symantec. Zscaler Data Protection WINS for organisations that want UNIFIED data protection ON the Zscaler platform they already run — inline (real-time, in the path), single-vendor, with consistent policy across every channel (web, SaaS, cloud, endpoint, email) and coverage of motion and rest. TechBag scopes Zscaler Data Protection honestly — sizing the right edition/bundle, comparing vs Netskope/Purview/Forcepoint/Symantec, planning the consolidation from point tools, and licensing and supporting it with GST invoicing.
Your sensitive data (PII, PCI, PHI, IP), the channels you must protect (web, SaaS, cloud, endpoint, email), the point tools you're consolidating, and which edition. TechBag scopes it, plans the consolidation, and compares vs Netskope/Purview/Forcepoint honestly.
Define sensitive data with AI/ML classification and exact data match (EDM), and set ONE data policy — to be enforced consistently across every channel. Get the definition of 'sensitive' right, once.
Turn on inline DLP (in the Zscaler path, incl. encrypted), CASB, endpoint and email DLP, and run SSPM/DSPM to discover and fix data exposure at rest in SaaS and cloud. Protect data in motion AND at rest.
Retire the point DLP/CASB tools, tune classification to cut false positives, respond to incidents, and extend across the Zero Trust Exchange (ZIA/ZPA). TechBag supports you (GST; Zscaler bills USD).
Trusted across regulated industries in 100+ countries
Modelled on Gartner Peer Insights structure. *Counts and breakdowns are illustrative pending verified review collection.
“We consolidated a web DLP, a separate CASB and an endpoint DLP onto Zscaler Data Protection — one platform, one policy across web, SaaS, cloud, endpoint and email. The gaps between our old point tools were where data leaked. Now it's consistent.”
“The killer feature is inline DLP — because Zscaler is already in our traffic path, it prevents data loss in real time, across ALL traffic including encrypted. Our old bolt-on DLP only saw a fraction. This is real-time, everywhere.”
“SSPM and DSPM showed us data risk we couldn't see — sensitive files over-shared in SaaS, sprawled across cloud stores. It's not just watching the traffic; it finds the exposure that's already there, at rest.”
“AI/ML classification and exact data match cut our false positives dramatically — we now catch our REAL sensitive records, not a flood of noise. That's what finally made DLP something the business trusts.”
“Honest: it's a per-user subscription and enterprise-priced, and bundling Data Protection with our existing ZIA got us the best value. TechBag scoped the right edition and planned consolidation off our point tools. Worth it.”
“We compared Netskope — which is genuinely the deepest on cloud data security — but since we already run Zscaler for access, unified data protection ON the same platform, inline, won for us. TechBag gave an honest comparison.”
“One policy defines 'sensitive' once and enforces it across every channel — no more five tools defining sensitive five different ways. The consistency alone was worth the move.”
“Zscaler has a big India presence and local data centres, and for DPDP-related data controls TechBag helped map inspection and control to our needs — honestly, without overclaiming residency. Local support made it smooth.”
Analyst firms bury this view behind paywalls, and G2 retired its Grid. So here’s TechBag’s synthesis of the DLP / CASB / data-security market — tap any vendor to see why it sits where it does.
Execution strength vs product vision — the classic market map, minus the paywall.
Unified data protection on the ZT Exchange. This page's product.
The grid nobody publishes — how strong the email detection is vs how integrated with the wider security portfolio.
Unified + inline (in the path).
Positions are TechBag’s illustrative synthesis of public review-platform data and vendor documentation — not a reproduction of any analyst graphic. Verify before relying on it.
Netskope, Palo Alto, Microsoft Purview, Forcepoint and Symantec — honest lanes; the edge is unified data protection, inline (already in the path), single-vendor on the Zero Trust Exchange. Deepest cloud data security? Netskope. All-Microsoft? Purview. Traditional DLP? Forcepoint/Symantec. We say so.
| Dimension | Zscaler Data Protection | Netskope | Palo Alto (Prisma/Enterprise DLP) | Microsoft Purview | Forcepoint | Symantec/Broadcom DLP |
|---|---|---|---|---|---|---|
| Position | Unified data protection on the ZT Exchange | Deepest cloud data security / DLP | DLP in the Palo Alto ecosystem | Native to the Microsoft estate | Traditional enterprise DLP leader | Traditional enterprise DLP leader |
| Unified across channels | Web+SaaS+cloud+endpoint+email, one platform | Strong (cloud-centric) | Good | Microsoft-centric | Good | Good |
| Inline DLP (in the path) | Already inline (structural edge) | Strong inline | Strong | Varies | Good | Good |
| Cloud data security / DLP depth | Strong (unified) | Deepest (signature strength) | Strong | Good (MS estate) | Deep (mature) | Deep (mature) |
| Data at rest (SSPM/DSPM) | SSPM + DSPM included | Strong | Growing | Strong (MS estate) | Good | Good |
| Single-vendor with secure access | On the ZT Exchange you already run | Own SSE | PAN stack | MS stack | Standalone | Standalone |
| Best fit | Unified data protection on the Zscaler platform you run | Deepest, most specialised cloud data security | DLP in a Palo Alto ecosystem | All-Microsoft estate | Traditional enterprise DLP heritage | Traditional enterprise DLP heritage |
Honest fit signals — because the fastest way to lose your trust is to pretend one product wins every scenario.
Drag the sliders (count users; IT-hour cost as loaded rate). Estimates contrast a patchwork of point DLP/CASB tools (multiple licences, consoles, drifting policies, gaps and blind spots) vs Zscaler Data Protection (one platform, one policy, inline in the path, motion and rest) — the wins are consolidated tooling, consistent policy, and real-time inline coverage including encrypted. Illustrative.
Loaded cost = salary + overheads per productive hour. Illustrative only — your TechBag quote models actual device counts and modules.
Zscaler is priced per USER, in bundled editions — data protection (inline DLP, CASB, SSPM, DSPM, endpoint/email DLP) is often unlocked in higher Transformation/Data Protection tiers or a Data Protection bundle — and it's QUOTE-BASED (no public price list; circulating per-user figures are third-party estimates). It's often bundled with ZIA/ZPA/ZDX ('Zscaler for Users') for best value, especially if you already run Zscaler. It replaces a patchwork of point DLP/CASB tools. Zscaler bills in USD. TechBag scopes the right edition/bundle, right-sizes users, plans the consolidation, and quotes it with GST.
Best for unified data protection
Best for a broader rollout
Best value with TechBag
Whatever the list prices above, TechBag negotiates a significantly better deal — with GST-compliant INR invoicing and local support. Ask us for your discounted quote.
Tell us your device counts and current tools — we’ll model it against what you spend today.
Take this into your next vendor call — including ours.
Running a different DLP/CASB tool per channel? Zscaler Data Protection unifies web, SaaS, cloud, endpoint and email on one platform, one policy.
Is your DLP a bolt-on that only sees some traffic? Zscaler is already inline — real-time DLP across ALL traffic, including encrypted.
Do you see over-shared/exposed data sitting in SaaS and cloud? SSPM + DSPM discover and fix exposure at rest, not just in motion.
Drowning in DLP false positives? AI/ML classification and exact data match (EDM) catch your REAL sensitive data with far less noise.
Does 'sensitive' mean five different things across five tools? One policy defines it once and enforces it across every channel.
Already run Zscaler (ZIA/ZPA)? Data Protection rides the same Zero Trust Exchange — single vendor, inline, on the platform you own.
Bundling with 'Zscaler for Users' (ZIA/ZPA/ZDX)? It typically beats standalone per-user pricing. TechBag scopes the edition.
Deepest cloud data security (Netskope)? All-Microsoft (Purview)? Traditional DLP (Forcepoint/Symantec)? TechBag compares honestly.
Scope Zscaler Data Protection (unified DLP + CASB + SSPM + DSPM + endpoint/email DLP, inline because Zscaler is already in the path, in motion and at rest) — and let a TechBag advisor size the right edition/bundle, plan the consolidation off point tools, and quote it. Or compare vs Netskope/Purview/Forcepoint/Symantec for depth, ecosystem or heritage.
Stats, ratings, review counts and pricing are illustrative and sourced from public materials; verify before purchase.