Secure the front door. Email is where most attacks arrive — Zscaler Digital Experience is Zscaler’s Digital Experience Monitoring (DEM) — end-to-end visibility into every user’s app experience (device → network → ISP → internet → Zscaler → app), with AI root-cause analysis, so IT sees WHY an app is slow and fixes it fast — native, inline in the traffic path.
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This page covers Zscaler Digital Experience (ZDX) — digital experience monitoring. The rest of the Zscaler platform:
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
Zscaler’s Digital Experience Monitoring (DEM) — it monitors the end-to-end experience of every user accessing every app (device → network/Wi-Fi → ISP → internet → Zscaler → app), with AI root-cause analysis, so IT can see WHY an app is slow and fix it fast.
What consolidation actually replaces, dimension by dimension.
| Dimension | Unprotected / signature email | Zscaler Digital Experience (ZDX) (Zscaler) |
|---|---|---|
| Visibility | Blind to home networks | End-to-end (device → network → app) |
| Diagnosis | Guessing across silos | AI root-cause — pinpointed |
| Data vantage | Outside the path (agents/probes) | Native, inline in the path |
| Agents | A separate DEM agent to deploy | The Zscaler client you already have |
| Hybrid work | IT can't see home Wi-Fi/ISP | Visibility restored, wherever they work |
| IT posture | Reactive (tickets first) | Proactive (probes + alerts) |
| Finger-pointing | 'Network vs app' arguments | One end-to-end source of truth |
| Integration | Separate from access/security | Unified with ZIA/ZPA on one platform |
Zscaler Digital Experience is Zscaler’s DEM — end-to-end visibility into every user’s app experience (device → network → ISP → app), with AI root-cause, native and inline in the traffic path, unified with secure access. Restores the visibility IT lost with hybrid work. Deep network path? ThousandEyes. Endpoint DEX? Nexthink/Aternity. Already on Datadog? Datadog. TechBag scopes and handles GST (Zscaler bills USD).
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
ZDX's foundation is that Zscaler is already INLINE between users and apps (via the Zero Trust Exchange, 500B+ transactions/day) — so ZDX sees the real user-to-app journey natively, with no extra agents beyond the Zscaler client. A unique data vantage point that agent-based tools can't match. Monitoring, in the path.
ZDX measures experience at every hop — the device (CPU, memory, Wi-Fi), the local network and ISP, the internet path, Zscaler, and the destination app — so you see the WHOLE journey, not just one slice. The full path, end to end. See every hop between user and app.
ZDX applies AI to pinpoint the ROOT CAUSE automatically — is it the home Wi-Fi, the ISP, the device, the network path, or the app? — so IT stops guessing and goes straight to the fix. From 'it's slow' to 'here's exactly why'. AI-powered root cause, not guesswork.
For remote/hybrid workers, IT normally can't see home Wi-Fi or the user's ISP — ZDX restores that visibility, measuring experience right down to the user's local network and device, wherever they work. Visibility IT lost with hybrid work, restored. See the home network you can't touch.
ZDX is part of the Zero Trust Exchange alongside ZIA (internet access) and ZPA (private access) — same platform, same client — so experience monitoring and secure access work together, correlating security policy and experience. Experience and access, unified. One agent, both jobs.
One agent on every machine, one console over all of them — modules attach without a second operational world.
ZDX monitors every user’s end-to-end app experience — device, network, ISP, path and app — and pinpoints WHY it’s slow with AI root-cause — native to portfolio, and paired with the human firewall.
A single, at-a-glance experience score for every user and every app — so IT can instantly see who's having a good or bad experience, and with which app, across the whole estate. One number that means 'how good is this experience'. See experience at a glance.
Monitor the device itself — CPU, memory, disk, Wi-Fi signal, battery — so you catch when a slow experience is actually the endpoint (a maxed-out CPU, weak Wi-Fi), not the app. Rule the device in or out, instantly. Is it the device? Now you know.
Trace the network path hop-by-hop — the local Wi-Fi, the ISP, the internet route to the app — so you see where latency or loss is introduced, even on a remote user's home connection. Find the bad hop on any network. See the path, not just the endpoints.
Measure the experience of the apps that matter — Microsoft 365, Teams, Zoom, Salesforce, custom and private apps — via probes and real-user metrics, so you know how each app is actually performing for real people. How is Teams REALLY doing? ZDX tells you.
Cloud and endpoint probes continuously test app reachability and performance — proactively, before users complain — so IT catches degradations early and knows about problems first. Find issues before the tickets arrive. Proactive, not reactive.
When experience drops, ZDX's AI pinpoints the root cause automatically — device, Wi-Fi, ISP, network path, Zscaler, or the app — so IT goes straight to the fix instead of guessing across silos. Straight to the real cause. AI does the detective work.
Drill into the full user-to-app path with detailed hop-by-hop analysis — seeing exactly where latency, packet loss or errors occur — across the device, network, internet and app, in one view. Follow the problem down the whole path. Every hop, one trace.
Because ZDX spans device, network, ISP, internet and app in ONE view, it ends the finger-pointing between teams — no more 'it's the network' / 'no, it's the app' — the data settles it. One source of truth across the silos. End the finger-pointing.
Configurable alerts fire when experience degrades — for a user, a location, an ISP or an app — so IT is notified proactively and can act before the wave of tickets, or before users even notice. Know first, act first. Get ahead of the tickets.
By pinpointing root cause and catching issues early, ZDX cuts helpdesk tickets and slashes mean-time-to-resolution — turning long, frustrating 'it's slow' investigations into quick, targeted fixes. Fewer tickets, faster fixes. Resolve in minutes, not days.
By giving IT visibility into home networks and devices — which it normally can't see — ZDX keeps remote and hybrid workers productive, fixing their experience even though IT never touches their Wi-Fi. Keep hybrid workers working. Support what you can't see.
Because Zscaler is already inline in the path, ZDX gets its data natively — no extra agents beyond the Zscaler client — and correlates experience with secure access on one platform. A vantage point agent-based tools don't have. In the path already, by design.
The overview, getting started, and protecting M365 email.
End-to-end experience monitoring, explained.
The platform ZDX runs on.
Securing (and monitoring) users everywhere.
Want a live, India-context walkthrough on your own fleet?
Book a guided demo →Here’s what genuinely sets ZDX apart (and when a rival fits).
The defining reason ZDX is chosen is that it restores END-TO-END visibility into the user experience — across the device, the local network and Wi-Fi, the ISP, the internet path, Zscaler, and the app — which IT lost when work went hybrid. The problem it solves: when everyone worked in the office, IT could see the network, the devices and the apps, and diagnose a slow experience. With hybrid and remote work, that visibility collapsed: when a remote user says 'Microsoft 365 is slow' or 'Teams keeps dropping', IT is BLIND — is it the user's home Wi-Fi? their ISP? their laptop's CPU? the network path? Zscaler? or the app itself? IT can't see the home network, can't see the device in detail, can't trace the path — so tickets drag on, get bounced between teams ('it's the network' / 'no, it's the app'), and users stay frustrated and unproductive. The visibility IT relied on simply doesn't reach into home networks. What ZDX provides: ZDX restores the whole picture by measuring experience at every hop: Device — CPU, memory, disk, Wi-Fi signal, battery. Local network & ISP — the home/branch Wi-Fi and the ISP link. The internet path — hop-by-hop, to see where latency or loss is introduced. Zscaler — the platform's own contribution. The app — Microsoft 365, Teams, Zoom, Salesforce, custom and private apps. So IT gets ONE end-to-end view of the entire user-to-app journey, for every user everywhere — including deep into home networks IT could never see before. When something's slow, IT sees exactly where, across the whole path. Why it matters: end-to-end visibility is the foundation of everything else — without seeing the whole path, you can't find the root cause, can't fix it fast, and can't get ahead of tickets. For a hybrid workforce, restoring the visibility IT lost is transformative: IT can finally support remote users' experience properly, even on networks it doesn't own. The value: ZDX gives IT end-to-end visibility across device, network, ISP, internet and app — restoring, for the hybrid-work era, the experience visibility IT lost. For supporting remote/hybrid workers, this matters. TechBag helps organisations restore experience visibility with ZDX. TechBag helps you see the whole path again.
A critical strength of ZDX is AI-powered ROOT-CAUSE analysis — it pinpoints exactly why an experience is degraded (device, Wi-Fi, ISP, network path, Zscaler, or the app), so IT goes straight to the fix instead of guessing across silos. The problem it solves: even with visibility, diagnosing a slow experience is hard because the possible causes span many silos owned by different teams — the endpoint team, the network team, the ISP, the app team. Without a tool that spans them, IT plays a slow guessing game: check the device, check the network, escalate to the app team, wait, bounce it back — while the user stays frustrated. Mean-time-to-resolution balloons, and tickets get passed around ('it's not us, it's the network'). What ZDX provides: ZDX applies AI across its end-to-end data to name the culprit: Automatic root cause — when experience drops, ZDX's AI identifies the most likely cause automatically — 'the home Wi-Fi is saturated', 'the ISP is dropping packets', 'the device CPU is maxed', 'this network hop is adding latency', or 'the app is slow'. Across every silo — because ZDX spans device, network, ISP, internet and app in one dataset, the AI can reason across the whole path, not just one slice. Straight to the fix — IT is pointed at the actual problem, so it acts fast instead of investigating for hours. Ends the finger-pointing — the data settles the 'network vs app' argument objectively. So IT stops guessing and starts fixing — root cause in view, MTTR slashed. Why it matters: root-cause analysis is where DEM pays off — visibility tells you something's wrong; root cause tells you what to fix. AI doing this across the full path, automatically, is a huge time-saver and the difference between a 2-day ticket odyssey and a 10-minute fix. For IT productivity and user experience both, this is decisive. The value: ZDX's AI pinpoints the root cause of a degraded experience across device, network, ISP and app — so IT goes straight to the fix, slashing MTTR and ending finger-pointing. For fast resolution, this matters. TechBag helps organisations diagnose faster with ZDX. TechBag helps you find WHY it's slow, fast.
A key strength of ZDX is that Zscaler is ALREADY inline in the traffic path — so ZDX has a unique, native data vantage point, seeing the real user-to-app journey without extra agents, and unifying experience monitoring with secure access. The problem it solves: most DEM/monitoring tools sit outside the traffic path — they deploy their own agents, run their own probes, and infer the experience from the outside. That means more agents to deploy and manage, a partial view (they see what they probe, not the real traffic), and no connection to the security/access layer. Getting a true, end-to-end picture from outside the path is inherently harder. What ZDX provides: because Zscaler is the secure-access path (the Zero Trust Exchange, 500B+ transactions/day), ZDX monitors from inside it: Native vantage point — ZDX sees the actual user-to-app traffic and path, natively, because Zscaler is already in it — not inferred from the outside. No extra agents — it uses the Zscaler client that's already on the endpoint (for ZIA/ZPA), so there's no separate DEM agent to deploy across the fleet. Unified with access — experience and secure access are on ONE platform and ONE client, so you can correlate policy, path and experience together. Massive scale & data — the same 500B+/day platform gives ZDX rich, real-world path data and feeds its AI. So ZDX gets a truer, richer picture with less to deploy — a structural advantage of being in the path, not beside it. Why it matters: the inline vantage point is Zscaler's structural edge in DEM — native visibility, no extra agents, and unification with secure access. For organisations already using Zscaler for access (ZIA/ZPA), adding ZDX is especially natural and powerful — same platform, same client, immediate end-to-end experience visibility on top of the access they already have. The value: ZDX monitors from INSIDE the traffic path (Zscaler is already inline) — a native data vantage point, no extra agents, unified with secure access — an edge agent-based tools can't match, especially for Zscaler customers. For richer visibility with less to deploy, this matters. TechBag helps Zscaler customers add ZDX naturally. TechBag helps you monitor from inside the path.
A major practical strength of ZDX is that it makes IT PROACTIVE — finding and fixing experience problems (often before users notice), cutting helpdesk tickets and mean-time-to-resolution, and keeping people productive. The problem it solves: without DEM, IT is reactive — it learns about experience problems from a wave of tickets ('everything's slow today'), then investigates blind and slow. That means frustrated users, lost productivity, and an overloaded helpdesk chasing problems after the fact. And many experience issues (a degrading ISP, a slowly saturating link) build up before they cause a flood of complaints — by which point the damage is done. What ZDX provides: ZDX turns IT from reactive to proactive: Synthetic probes — continuous cloud and endpoint probes test apps and paths proactively, catching degradations before users do. Proactive alerts — configurable alerts fire when experience drops for a user, location, ISP or app, so IT knows FIRST. Early detection — IT spots a degrading ISP link or a struggling app and acts before the ticket wave. Fewer tickets, lower MTTR — by catching issues early and pinpointing root cause, ZDX cuts the number of tickets AND the time to resolve each one. Better productivity — users get a good experience (problems fixed fast, often invisibly), so they stay productive. So IT gets ahead of experience problems instead of chasing them — fewer tickets, faster fixes, happier and more productive users. Why it matters: proactive experience management is a direct win for both IT (fewer tickets, less firefighting, lower MTTR) and the business (productive users, less downtime). It's the operational payoff of DEM — and a strong ROI argument, since helpdesk load and user productivity are real, measurable costs. The value: ZDX makes IT proactive — finding and fixing experience problems early (via probes and alerts), cutting tickets and MTTR, and keeping users productive. For a lighter helpdesk and better productivity, this matters. TechBag helps organisations get proactive with ZDX. TechBag helps you fix problems before users complain.
ZDX comes from Zscaler — the pure-play zero-trust leader (NASDAQ: ZS) — actively innovating in DEM, part of a complete platform, and with a MAJOR India presence, which matters because experience monitoring is most powerful when it's native to the access platform. 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. ZDX is a native part of that platform, not a bolt-on. Actively innovating: ZDX is under active development — Zscaler announced new ZDX monitoring innovations in October 2025, extending its AI root-cause and end-to-end monitoring — so it's a growing, invested-in product, not a static one. Part of a platform: ZDX pairs with ZIA (internet access) and ZPA (private access) as 'Zscaler for Users' — one platform, one client — so experience monitoring, secure internet access and secure private access work together. For Zscaler customers, adding ZDX is especially natural. Strong AI momentum: Zscaler's 500B+/day data advantage fuels AI across the platform, including ZDX's root-cause analysis. 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 and marquee Indian customers. For India's huge hybrid workforce, GCCs and large enterprises, experience visibility is highly relevant. Via TechBag (Bengaluru-based), Indian organisations get ZDX with local scoping, licensing and GST invoicing. The value: ZDX — from Zscaler, the pure-play zero-trust leader, actively innovating in DEM, native to the access platform, with a major India presence — is a strong, well-supported choice for experience monitoring, especially for Zscaler customers. TechBag supplies it with local scoping and support. TechBag provides ZDX, scoped and supported in India.
Zscaler Digital Experience (ZDX) is Zscaler's Digital Experience Monitoring (DEM) product — it monitors the end-to-end experience of every user accessing every app (device → network/Wi-Fi → ISP → internet → Zscaler → app), with AI root-cause analysis, so IT can see WHY an app is slow and fix it fast, restoring the visibility IT lost with hybrid work. Its defining edge is that Zscaler is already inline in the path — a native data vantage point, no extra agents, unified with secure access. From the pure-play zero-trust leader (NASDAQ: ZS). The honest framing — strengths, and competition: ZDX's strengths are native inline-in-the-path visibility (no extra agents), true end-to-end coverage (device to app, including home networks), AI root-cause analysis, and unification with Zscaler secure access — making it especially compelling for organisations already on Zscaler. The DEM/monitoring landscape is strong and varied, and honesty matters: ThousandEyes (Cisco) is a leader in internet and network-path intelligence — the go-to for deep network/internet monitoring, especially in Cisco shops. Catchpoint is strong in synthetic and internet/endpoint monitoring. Nexthink and Riverbed Aternity are digital-employee-experience (DEX) leaders — endpoint-centric, rich on device telemetry, remediation and employee sentiment. Datadog offers DEM as part of its broader observability suite — natural if you're already all-in on Datadog. So the honest positioning: for native, inline, end-to-end experience monitoring unified with secure access — especially if you already use Zscaler — ZDX leads; for deep internet/network-path monitoring, ThousandEyes (or Catchpoint for synthetic); for endpoint-centric digital-employee-experience and remediation, Nexthink or Aternity; for DEM inside a broader Datadog observability stack, Datadog. ZDX is most compelling for Zscaler customers wanting end-to-end experience visibility and AI root-cause on the platform they already run — per-user, quote-based, often an add-on to ZIA/ZPA. TechBag scopes ZDX honestly — sizing the right edition/bundle, comparing vs ThousandEyes/Catchpoint/Nexthink/Aternity/Datadog, and licensing and supporting it with GST invoicing.
Your users (remote/branch/office), the apps that matter (Microsoft 365, Teams, custom/private), your current visibility gaps, whether you already run Zscaler, and which edition/bundle. TechBag scopes it and compares vs ThousandEyes/Catchpoint/Nexthink/Aternity/Datadog honestly.
Turn on ZDX via the Zscaler client already on endpoints (no extra agent for Zscaler customers), define the apps and probes to monitor, and start measuring end-to-end experience — device, network, ISP, path and app. Get the ZDX score flowing for every user and app.
Configure proactive alerts, tune synthetic probes, and use AI root-cause to diagnose the experience issues that surface — across the whole path. From reactive to proactive: catch and fix issues early, cut tickets and MTTR.
Pair with ZIA (internet access) and ZPA (private access) as 'Zscaler for Users', use the AI/data advantage, and optimise the edition/bundle. TechBag supports you (GST; Zscaler bills USD).
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Modelled on Gartner Peer Insights structure. *Counts and breakdowns are illustrative pending verified review collection.
“ZDX finally gave us visibility into our remote users' experience — down to their home Wi-Fi and ISP. When someone says 'Teams is slow', we now SEE whether it's their device, their network or the app. Game-changer for hybrid support.”
“The AI root-cause analysis is the best part — it points straight at the culprit (saturated Wi-Fi, a failing ISP link, the app) instead of us guessing across teams. Our mean-time-to-resolution dropped dramatically.”
“Because we already run Zscaler for access (ZIA/ZPA), adding ZDX was natural — same client, same platform, no extra agents to deploy. End-to-end experience visibility on top of the access we already had.”
“ZDX ended the finger-pointing between our network and app teams — the end-to-end data settles it objectively. No more 'it's the network' / 'no, it's the app'. One source of truth.”
“Honest: it's a per-user subscription and enterprise-priced, and we got best value bundling it with ZIA/ZPA as 'Zscaler for Users'. TechBag scoped the right edition. Worth it for the hybrid-experience visibility.”
“We looked at ThousandEyes for network-path depth and Nexthink for endpoint DEX — both strong in their lanes — but for native, in-the-path, end-to-end monitoring unified with our Zscaler access, ZDX fit best. TechBag gave an honest comparison.”
“The synthetic probes and proactive alerts let us catch a degrading ISP before the ticket wave — we fixed it before most users even noticed. Proactive instead of reactive.”
“Zscaler has a big India presence and TechBag handled scoping, licensing and GST. For our large hybrid workforce across cities, local support made adopting ZDX smooth.”
Analyst firms bury this view behind paywalls, and G2 retired its Grid. So here’s TechBag’s synthesis of the DEM / digital-experience / monitoring market — tap any vendor to see why it sits where it does.
Execution strength vs product vision — the classic market map, minus the paywall.
Native in-path DEM, unified with Zscaler access. This page's product.
The grid nobody publishes — how strong the email detection is vs how integrated with the wider security portfolio.
End-to-end, native in-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.
Catchpoint, ThousandEyes (Cisco), Nexthink, Riverbed Aternity and Datadog — honest lanes; the edge is native, inline-in-the-path, end-to-end monitoring unified with secure access. Deep network path? ThousandEyes. Endpoint DEX? Nexthink/Aternity. Already on Datadog? Datadog. We say so.
| Dimension | Zscaler ZDX | Catchpoint | ThousandEyes (Cisco) | Nexthink | Riverbed Aternity | Datadog (DEM) |
|---|---|---|---|---|---|---|
| Position | Native, in-the-path DEM (Zscaler) | Synthetic / internet monitoring | Internet & network-path intelligence | Digital employee experience (endpoint) | DEX / endpoint (Riverbed) | DEM within Datadog observability |
| End-to-end (device→network→app) | Full, native in-path | Strong (synthetic/internet) | Strong (network path) | Endpoint-centric | Endpoint-centric | Within Datadog |
| Native, inline-in-the-path | Yes — Zscaler is in the path | External probes | Agents/probes | Endpoint agent | Endpoint agent | Agents/integrations |
| Network / internet-path depth | Strong (hop-by-hop, ISP) | Strong (internet) | Deepest (network intelligence) | Limited | Limited | Good |
| Endpoint DEX depth | Strong (device health) | Good | Limited | Deepest (DEX + remediation) | Deep (DEX) | Good |
| Unified with secure access | Yes — with ZIA/ZPA | No | No | No | No | No |
| Best fit | Native in-path DEM, esp. Zscaler customers | Synthetic / internet monitoring | Deep internet/network path (Cisco) | Endpoint-centric DEX + remediation | Endpoint DEX (Riverbed shops) | DEM inside Datadog observability |
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 blind, reactive troubleshooting (long ticket investigations, finger-pointing, lost productivity) vs ZDX (end-to-end visibility, AI root-cause, proactive alerts) — the wins are fewer tickets, lower MTTR, and productive hybrid workers. 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 (ZDX comes in tiers, often as an add-on to ZIA/ZPA) that progressively unlock deeper analytics, probes, retention and AI — and it's QUOTE-BASED (no public price list; circulating per-user figures are third-party estimates). ZDX is most valuable bundled as 'Zscaler for Users' with ZIA/ZPA, and is a natural, low-friction add-on for existing Zscaler customers (no extra agent). Its ROI is fewer tickets, lower MTTR and productive hybrid workers. Zscaler bills in USD. TechBag scopes the right edition/bundle, right-sizes users, and quotes it with GST.
Best for end-to-end experience visibility
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.
Can IT see remote users' experience — home Wi-Fi, ISP, device? ZDX restores end-to-end visibility IT lost with hybrid work.
When an app is slow, can you pinpoint WHY (device / Wi-Fi / ISP / path / app)? ZDX's AI names the root cause automatically.
Already run Zscaler (ZIA/ZPA)? ZDX is native to the same client and platform — in-the-path monitoring, no extra agent.
Do you see the WHOLE path (device → network → ISP → internet → app), or just one slice? ZDX gives one end-to-end view.
Do you learn of issues from a ticket wave? ZDX's probes and alerts catch degradations before users complain.
Do 'network vs app' arguments slow resolution? ZDX gives one end-to-end source of truth that settles it.
Pairing with ZIA (internet) and ZPA (private access)? Bundling 'Zscaler for Users' beats standalone. TechBag scopes the edition.
Deep network path (ThousandEyes)? Endpoint DEX (Nexthink/Aternity)? Datadog observability? TechBag compares honestly.
Scope Zscaler Digital Experience (end-to-end visibility, AI root-cause, native inline-in-the-path monitoring) — and let a TechBag advisor size the right edition/bundle, add it to your Zscaler (if you run ZIA/ZPA), and quote it. Or compare vs ThousandEyes/Catchpoint/Nexthink/Aternity/Datadog for network path, endpoint DEX or observability.
Stats, ratings, review counts and pricing are illustrative and sourced from public materials; verify before purchase.