A DLP product inspects content at an exit point and enforces a rule on it. That requires a rule — and writing one means the organisation has decided, in writing, which documents matter and what may happen to them. Most have not, which is why the first six months are policy work rather than product work.
The test before you shortlist: ask three people in the business to define a confidential document. If the answers differ, the tuning effort is the project and the licence is a rounding error against it.
Already decided — What this page decides
Still yours to weigh
Data loss prevention inspects content — in a file, an email, an upload or a clipboard — and decides whether the action may proceed. Insider risk asks a different question: not what this file contains, but whether this person’s behaviour has changed. Most estates need both, and most buy one while describing the other.
The eighteen products below split by where they inspect and what they can act on. Twelve are standalone products. Six are modules of platforms carded in other categories — Zscaler and Netskope in SASE, CrowdStrike in endpoint, Proofpoint and Mimecast in email, Coro in the SMB platform. Those six are frequently already licensed.
The row to get exactly right
Whether the thing you are buying is a product or a module. Six of these eighteen ship inside a subscription you may already hold, and estates routinely buy a standalone DLP while paying for an unused data-protection module in their SASE contract. Check the entitlement first; it is the cheapest finding on this page.
Often confused withDSPM & Data Discovery — finding the data first →·Encryption & Rights — protecting it after it leaves →·SASE & SSE — where inline inspection already happens →
These are adjacent controls at different points in the data’s life, not tiers. A product that classifies perfectly may block nothing; a product that blocks at the endpoint may never see the cloud copy.
DLP vs insider risk
Is the question what left, or who is behaving differently?
Insider risk vs UEBA
Are you buying the product, or the technique inside it?
Endpoint vs network DLP
Where does your data actually leave from?
Cloud DLP vs the rest
Sanctioned applications, or all of them?
Six variables move the shortlist. Everything else is preference.
Channel coverage
Endpoint, email, web, cloud, USB, print, screenshot — and AI prompt, the newest and least covered. Ask for the list, not the category.
Classification approach
Regex and keyword needs manual upkeep. Machine learning needs training and tuning. Fingerprinting works only on documents you already have. Each has a different first-year effort.
Block, monitor or coach
Blocking demands a false-positive rate low enough that the business tolerates it. Coaching changes behaviour without stopping work, and is why several mid-market products lead with it.
Behavioural depth
Rule-based DLP and behavioural insider risk answer different questions. Confirm which engine is actually present rather than which words are in the datasheet.
Agent coexistence
Another endpoint agent alongside your EDR, UEM and SASE agents is a real operational cost and a real conflict risk. Two products here need no agent at all.
Product or module
Six of eighteen are modules. If you run the platform, the control may already be licensed.
Pick what the control has to cover. Products drop out with the reason stated, never silently.
Where the data actually leaves
What it has to catch
How it has to work
India
India residency and Indian data-type classification are annotated, never used to eliminate: where a vendor has not documented them, the product is flagged for you to prove in a proof of concept rather than ruled out.

per user / year entry list (about ₹4,316), rising materially for the full channel stack; one policy engine across endpoint, network, email, web and cloud with a large pre-built classifier library
Estates that want one DLP policy enforced everywhere rather than four products with four consoles — and the broadest single-vendor channel coverage on this page.
The catch: Breadth costs tuning: the classifier library is large and the first months are spent cutting false positives before blocking mode is credible. An India data region is not documented — confirm before assuming residency for classified content.

quoted as an add-on to Forcepoint DLP; behavioural risk scoring that raises or relaxes enforcement per user as their risk changes, rather than one static policy for everyone
Organisations whose false-positive problem is really a policy-granularity problem — the same action is fine from one person and not from another, and a single rule cannot express that.
The catch: An add-on, not a standalone purchase: it needs Forcepoint DLP underneath. Behavioural scoring also needs a baseline period before it is useful, so value arrives months after signature.
quoted per user or per data store within the Varonis platform; DLP that acts on the same classification and access-path map the DSPM half already built
Estates that already run Varonis for discovery and want enforcement driven by what the platform found, rather than a second product with a second definition of sensitive.
The catch: The case is much weaker without the Varonis platform underneath — it is the enforcement arm of a discovery investment, not a first DLP purchase. Quote-only.
quoted per endpoint, perpetual or subscription; device-level control of USB, print, clipboard, screenshot and local file operations, managed from the Trellix ePO console
Estates whose exfiltration path is physical and local — removable media, printing, the laptop that leaves the network — and who already run Trellix ePO for management.
The catch: Endpoint-scoped: it does not see the cloud copy or the webmail upload unless the network and discovery products are bought alongside. Rule-based classification needs manual maintenance as data changes.
quoted per appliance or throughput; inspects traffic in flight for policy violations at the network boundary, with no endpoint agent required
Estates that need inspection without deploying another agent, particularly where unmanaged devices sit on the corporate network.
The catch: Blind to anything encrypted it cannot terminate, which today is most traffic — and entirely blind once the laptop leaves the network. Network DLP alone routinely misses the USB stick.
per user / year published list across Discovery, Protection and Enterprise (about ₹5,976–₹11,952); DLP with insider-risk analytics and user coaching, sized and priced for the mid-market
Mid-market estates that want published pricing and a working deployment in weeks rather than an enterprise programme — and the user-coaching model, which changes behaviour without blocking work.
The catch: Less depth than the enterprise suites on classification sophistication and very large estates; documented deployments are mid-market. India data residency is not documented.
quoted per user, self-hosted; the same DLP and insider-risk engine kept entirely inside your own infrastructure
Regulated and localisation-sensitive estates that cannot send classified content or incident evidence to a vendor cloud.
The catch: You own the server, the database and the upgrade cycle; the cloud edition gets features first. Narrower channel coverage than the SaaS platform.
quoted per user in INR, on-premises or cloud; endpoint-centric DLP with user-activity monitoring, built and supported from India
Indian estates that want the vendor, the support engineer and the data in the same country, with an on-premises option and a price in rupees.
The catch: Narrower cloud-application coverage than the global suites, and documented deployments are Indian mid-market rather than global enterprise. Indian data-type classification is not documented — prove it against your own records.
quoted per user in INR; user behaviour analytics over endpoint activity — baselines normal and flags deviation rather than matching file content to a rule
Estates whose question is who is behaving differently rather than which file contained a card number — the resignation-shaped pattern that content rules never see.
The catch: Analytics, not enforcement: it produces signal and names no policy. Without a DLP alongside it you can see the behaviour and cannot stop the file.

quoted per endpoint in INR, frequently bundled with Seqrite endpoint protection; device control, application control and content rules on the same agent
Indian estates already running Seqrite endpoint protection that want data controls on the agent they have deployed rather than a second one.
The catch: A module on an endpoint suite rather than a full DLP platform: no network or cloud inspection, and no behavioural analytics. Right answer when the requirement is device control; wrong one when it is cloud egress.
quoted within the Cyera platform; DLP driven by the AI-native classification the DSPM half produces, including controls on data pasted into AI assistants
Cloud-first estates that want enforcement to inherit a classification they trust, and one of the few products here documenting AI-prompt as a channel.
The catch: Newer than the incumbent suites, and the strongest case assumes the Cyera platform underneath. Quote-only, and India residency is not documented.
quoted per user in INR from the Mumbai-built vendor; DLP that hands off to Seclore's rights management rather than only blocking — the file leaves protected instead of not leaving
Estates where files legitimately have to go outside and blocking is not an acceptable answer — the DLP decision becomes protect-and-send rather than allow-or-deny.
The catch: The distinctive capability assumes you also adopt Seclore's rights management; as a pure DLP it is narrower than Forcepoint or Trellix. Indian data-type classification is not documented despite the India-built positioning.
quoted inside the Proofpoint suite, commonly alongside email security; people-centric DLP with insider-risk telemetry, strongest where the exit is email
Estates already running Proofpoint for email security whose data-loss path is overwhelmingly outbound mail — the control sits where the traffic already is.
The catch: A module of a platform, not a standalone purchase: buying it without Proofpoint email security is unusual and priced accordingly. Weaker on USB, print and local device control than the endpoint-first suites.
quoted within Mimecast; insider risk built on file-movement telemetry — what moved, where it went and who moved it — rather than content-matching rules
Estates whose real question is departing-employee data theft, where the file's journey matters more than its contents and rule-writing has already failed.
The catch: Telemetry-first by design: it is deliberately not a rule-based blocking DLP, so estates that need to stop the transfer in the moment will find it monitors rather than prevents.
a module inside the Zero Trust Exchange subscription, not a separate purchase; inline inspection of web and cloud traffic that already passes the platform, plus CASB and SaaS posture
Estates already routing traffic through Zscaler — the inspection point exists, so data controls are a licence change rather than a deployment.
The catch: Inline coverage only: it sees what traverses the platform and nothing local — USB, print and offline file operations are outside its view entirely. Check whether your subscription already includes it before buying anything on this page.
a module of the Netskope platform where CASB and DLP are core rather than bolted on; eight Indian data centres with a Mumbai management plane supporting DPDP-aligned residency
Estates whose data problem is SaaS sprawl — including unsanctioned applications — and who want the inspection and the residency documented in the same platform.
The catch: Like every inline platform it is blind to local device activity. The strongest case assumes Netskope is already the SASE choice; bought alone it is an expensive DLP.

a Falcon module licensed per endpoint on the agent you already run; data controls with no second agent to deploy or reconcile
Falcon estates that want basic data controls without adding an agent — the single most common source of endpoint conflict on this page.
The catch: Narrower than a dedicated DLP suite: no email or deep cloud inspection, and classification is rule-based. It is the pragmatic answer for estates that will not tolerate another agent, not the complete one.
a module of the Coro modular platform, priced per user alongside the other modules an SMB turns on; cloud application and email data governance with deliberately few settings
Small estates with no security team that want a data control switched on rather than a project scoped — the honest floor of this category.
The catch: Deliberately simple: shallow classification, no behavioural analytics and no local device control. It is a starting position, not a compliance answer for a regulated estate.
removable media and printRules out Forcepoint Risk-Adaptive Protection, Varonis DLP, Trellix DLP Network, Data Resolve UBA, Cyera Omni DLP, Seclore AI-DLP, Proofpoint DLP & Insider Risk, Mimecast Incydr, Zscaler Data Protection, Netskope Data Protection and Coro Cloud & Data Governance — no local device control: USB and print are outside what it sees. That leaves Forcepoint DLP, Trellix DLP Endpoint, Safetica Platform, Safetica On-Prem, Data Resolve inDefend DLP, Seqrite DLP and CrowdStrike Falcon Data Protection.
cloud applicationsRules out Trellix DLP Endpoint, Trellix DLP Network, Safetica On-Prem, Data Resolve inDefend DLP, Data Resolve UBA, Seqrite DLP and CrowdStrike Falcon Data Protection — no cloud application inspection. That leaves Forcepoint DLP, Forcepoint Risk-Adaptive Protection, Varonis DLP, Safetica Platform, Cyera Omni DLP, Seclore AI-DLP, Proofpoint DLP & Insider Risk, Mimecast Incydr, Zscaler Data Protection, Netskope Data Protection and Coro Cloud & Data Governance.
outbound emailRules out Forcepoint Risk-Adaptive Protection, Trellix DLP Endpoint, Data Resolve UBA, Seqrite DLP and CrowdStrike Falcon Data Protection — email is not an inspected channel. That leaves Forcepoint DLP, Varonis DLP, Trellix DLP Network, Safetica Platform, Safetica On-Prem, Data Resolve inDefend DLP, Cyera Omni DLP, Seclore AI-DLP, Proofpoint DLP & Insider Risk, Mimecast Incydr, Zscaler Data Protection, Netskope Data Protection and Coro Cloud & Data Governance.
AI assistantsRules out Forcepoint DLP, Forcepoint Risk-Adaptive Protection, Varonis DLP, Trellix DLP Endpoint, Trellix DLP Network, Safetica Platform, Safetica On-Prem, Data Resolve inDefend DLP, Data Resolve UBA, Seqrite DLP, Proofpoint DLP & Insider Risk, Mimecast Incydr, Zscaler Data Protection, Netskope Data Protection, CrowdStrike Falcon Data Protection and Coro Cloud & Data Governance — AI-prompt exfiltration is not documented as a covered channel. That leaves Cyera Omni DLP and Seclore AI-DLP.
behavioural insider riskRules out Forcepoint DLP, Safetica Platform, Safetica On-Prem, Data Resolve inDefend DLP, Cyera Omni DLP, Seclore AI-DLP, Zscaler Data Protection, Netskope Data Protection and CrowdStrike Falcon Data Protection — some behavioural signal, but not a insider-risk engine; Trellix DLP Endpoint, Trellix DLP Network, Seqrite DLP and Coro Cloud & Data Governance — content rules only, no behavioural analytics. That leaves Forcepoint Risk-Adaptive Protection, Varonis DLP, Data Resolve UBA, Proofpoint DLP & Insider Risk and Mimecast Incydr.
machine-learning classificationRules out Trellix DLP Endpoint, Trellix DLP Network, Safetica Platform, Safetica On-Prem, Data Resolve inDefend DLP, Data Resolve UBA, Seqrite DLP, CrowdStrike Falcon Data Protection and Coro Cloud & Data Governance — rule and keyword based, which needs manual upkeep as data changes; Mimecast Incydr — fingerprints known documents rather than classifying new ones. That leaves Forcepoint DLP, Forcepoint Risk-Adaptive Protection, Varonis DLP, Cyera Omni DLP, Seclore AI-DLP, Proofpoint DLP & Insider Risk, Zscaler Data Protection and Netskope Data Protection.
user coachingRules out Forcepoint DLP, Varonis DLP, Trellix DLP Endpoint, Trellix DLP Network, Safetica On-Prem, Data Resolve inDefend DLP, Data Resolve UBA, Seqrite DLP, Cyera Omni DLP, Proofpoint DLP & Insider Risk, Mimecast Incydr, Zscaler Data Protection, Netskope Data Protection, CrowdStrike Falcon Data Protection and Coro Cloud & Data Governance — blocks or monitors; no in-the-moment user coaching documented. That leaves Forcepoint Risk-Adaptive Protection, Safetica Platform and Seclore AI-DLP.
no new agentRules out Forcepoint DLP, Forcepoint Risk-Adaptive Protection, Varonis DLP, Trellix DLP Endpoint, Safetica Platform, Safetica On-Prem, Data Resolve inDefend DLP, Data Resolve UBA, Seqrite DLP, Cyera Omni DLP, Seclore AI-DLP, Proofpoint DLP & Insider Risk, Mimecast Incydr and CrowdStrike Falcon Data Protection — requires its own agent alongside your endpoint, UEM and SASE agents. That leaves Trellix DLP Network, Zscaler Data Protection, Netskope Data Protection and Coro Cloud & Data Governance.
on-premisesRules out Varonis DLP, Safetica Platform, Cyera Omni DLP, Proofpoint DLP & Insider Risk, Mimecast Incydr, Zscaler Data Protection, Netskope Data Protection, CrowdStrike Falcon Data Protection and Coro Cloud & Data Governance — SaaS only. That leaves Forcepoint DLP, Forcepoint Risk-Adaptive Protection, Trellix DLP Endpoint, Trellix DLP Network, Safetica On-Prem, Data Resolve inDefend DLP, Data Resolve UBA, Seqrite DLP and Seclore AI-DLP.
a standalone productRules out Proofpoint DLP & Insider Risk, Mimecast Incydr, Zscaler Data Protection, Netskope Data Protection, CrowdStrike Falcon Data Protection and Coro Cloud & Data Governance — a module of a platform, priced and sold inside that subscription. That leaves Forcepoint DLP, Forcepoint Risk-Adaptive Protection, Varonis DLP, Trellix DLP Endpoint, Trellix DLP Network, Safetica Platform, Safetica On-Prem, Data Resolve inDefend DLP, Data Resolve UBA, Seqrite DLP, Cyera Omni DLP and Seclore AI-DLP.
India residencyRules nothing out on published terms. It flags Forcepoint DLP — India residency for classified content is not documented, Forcepoint Risk-Adaptive Protection — India residency for classified content is not documented, Varonis DLP — India residency for classified content is not documented, Trellix DLP Endpoint — India residency for classified content is not documented, Trellix DLP Network — India residency for classified content is not documented, Safetica Platform — India residency for classified content is not documented, Safetica On-Prem — India residency for classified content is not documented, Cyera Omni DLP — India residency for classified content is not documented, Proofpoint DLP & Insider Risk — India residency for classified content is not documented, Mimecast Incydr — India residency for classified content is not documented, Zscaler Data Protection — Data region documented, Netskope Data Protection — Data region documented, CrowdStrike Falcon Data Protection — India residency for classified content is not documented and Coro Cloud & Data Governance — India residency for classified content is not documented — marked on the cards, not removed.
Indian data typesRules nothing out on published terms. It flags Forcepoint DLP — Indian data-type classification is not documented by the vendor, Forcepoint Risk-Adaptive Protection — Indian data-type classification is not documented by the vendor, Varonis DLP — Indian data-type classification is not documented by the vendor, Trellix DLP Endpoint — Indian data-type classification is not documented by the vendor, Trellix DLP Network — Indian data-type classification is not documented by the vendor, Safetica Platform — Indian data-type classification is not documented by the vendor, Safetica On-Prem — Indian data-type classification is not documented by the vendor, Data Resolve inDefend DLP — Indian data-type classification is not documented by the vendor, Data Resolve UBA — Indian data-type classification is not documented by the vendor, Seqrite DLP — Indian data-type classification is not documented by the vendor, Cyera Omni DLP — Indian data-type classification is not documented by the vendor, Seclore AI-DLP — Indian data-type classification is not documented by the vendor, Proofpoint DLP & Insider Risk — Indian data-type classification is not documented by the vendor, Mimecast Incydr — Indian data-type classification is not documented by the vendor, Zscaler Data Protection — Indian data-type classification is not documented by the vendor, Netskope Data Protection — Indian data-type classification is not documented by the vendor, CrowdStrike Falcon Data Protection — Indian data-type classification is not documented by the vendor and Coro Cloud & Data Governance — Indian data-type classification is not documented by the vendor — marked on the cards, not removed.
Six of these eighteen are modules, not productsZscaler, Netskope, CrowdStrike, Coro, Proofpoint and Mimecast sell data protection inside a platform subscription. If you already run the platform, check your entitlement before buying anything on this page — the control may already be paid for.
Indian data types are undocumented everywhereNo vendor on this page documents PAN, Aadhaar or GSTIN classification support. That is marked per product and never used to eliminate one. Prove it in a proof of concept with your own records; a classifier tuned for US social security numbers finds nothing useful in an Indian estate.
The licence is the small numberClassification and policy tuning commonly exceed the licence in year one. Someone has to decide what sensitive means in your organisation, document it, and cut the false positives until blocking is credible. No vendor does that for you.
Blocking mode is a decision, not a settingThe common failure is enabling block too early, stopping legitimate business, and reverting to monitor permanently. Estates that succeed run monitor first, tune against real traffic, then block one narrow high-confidence policy at a time.
If one of these is your sentence, the shortlist is short.
Why: This is a behavioural question, not a content one — the pattern precedes the transfer by weeks and no content rule describes it.
The trade-off: Incydr monitors rather than blocks by design; if you need the transfer stopped in the moment, pair it with an enforcing DLP.
Why: AI prompt is the newest exfiltration channel and only these two document it as covered.
The trade-off: Both are newer than the incumbent suites and both are strongest with their own platform underneath.
Why: Local device control needs an agent on the device; no inline platform sees any of this.
The trade-off: The endpoint-first products are correspondingly thinner on cloud application coverage.
Why: The inspection point already exists — this is a licence change rather than a deployment.
The trade-off: Neither sees local device activity. If USB and print matter, you still need an endpoint product.
Why: Either the control rides an agent you already run, or it needs no agent at all.
The trade-off: All four are narrower than a dedicated endpoint DLP suite; this is the pragmatic answer, not the complete one.
Why: All five deploy on-premises, and three are India-built with INR pricing and local support.
The trade-off: You own the server, the database and the upgrade cycle; cloud editions get features first.
Why: These are the two products on this page with a published per-user list you can budget against before a sales conversation.
The trade-off: Safetica is mid-market in depth; Forcepoint's entry price rises materially for the full channel stack.
Why: Deliberately few settings, priced per user inside a modular platform an SMB can run without specialists.
The trade-off: Shallow classification, no behavioural analytics, no local device control. A starting position, not a compliance answer.
A DLP rule is a sentence about your organisation: documents containing customer account numbers may not be attached to external email. Writing it requires someone to decide what a customer account number looks like in your systems, which documents legitimately contain them, and who is allowed to send those documents where.
That work is not in the licence and no vendor can do it for you. It is why the common failure mode is so consistent: blocking mode is enabled early, legitimate business stops, the policy is reverted to monitor within days, and it is never re-enabled. The console then accumulates alerts nobody reviews, because reviewing them is also unfunded headcount.
Estates that succeed do three things: run monitor-only against real traffic first, tune until false positives are rare, then block exactly one narrow high-confidence policy and widen from there. And they name an owner for the incident queue before signature, not after.
Ask in the proof of concept
For Indian estates there is a second tuning problem: no vendor on this page documents PAN, Aadhaar or GSTIN classification. A classifier tuned for US social security numbers will find nothing useful in your records. Prove this specifically in the proof of concept — it is the difference between a working deployment and an empty console.
DLP scales by users and by the number of exits you have to watch, not by data volume.
Under 200 users
Put this in your PoC
Ask which single exit accounts for most of your exposure, and cover that.
200–2,000 users
Put this in your PoC
Name the person who reviews alerts before you sign.
2,000–10,000 users
Put this in your PoC
Test agent conflict in a pilot ring, not in production.
10,000+ users
Put this in your PoC
Budget the tuning role permanently — it does not end at go-live.
Documented deployment scale is stated per product where the vendor publishes it, and marked as mid-market where the evidence is mid-market.
DLP policy is the asset, and almost none of it is portable.
Policy rules
Every vendor expresses them differently; there is no interchange format
Classification labels
Microsoft Information Protection labels are the nearest thing to a standard and are read by several products here
Incident history
Exports to CSV or via API almost everywhere; the evidentiary value depends on your retention obligation
The tuning effort
The months spent cutting false positives do not transfer — the new engine classifies differently
The practical consequence: switching DLP means re-running the tuning project. That is the real switching cost, and it is why the first choice deserves a proof of concept with your own documents.
Per user or per endpoint, in USD and INR where the vendor publishes a list.
Four checks, in the order most likely to return a yes.
None of these is automatically right. Each is a real option that a shortlist built from vendor comparisons will miss entirely.
Two vendors publish a list. The rest quote, and the India-built options quote in rupees.
Safetica publishes about $72–144 per user / year across its tiers (₹5,976–₹11,952), which is the clearest budgeting anchor on this page. Forcepoint DLP starts near $52 per user / year (₹4,316) and rises materially for the full channel stack. Seclore, Data Resolve and Seqrite quote per user or per endpoint in INR, on-premises or cloud — the three India-built options absent from every global comparison, and the ones worth quoting when residency or rupee pricing decides the outcome. Trellix and Varonis are quote-only, per endpoint and per user respectively. The six platform modules carry no separate line at all when the platform is already licensed.TechBag gives INR pricing, GST, PO cycle, minimums and tier-matched quotes. The INR above is conversion for scale at ≈₹83/$; the tier-matched INR quote is ours.
The largest hidden line. Commonly exceeds the licence in year one and does not end at go-live.
Alerts need a named reviewer. Without one the console fills and the deployment quietly becomes shelfware.
No vendor documents PAN, Aadhaar or GSTIN support. Budget the time to prove it against your own records.
Where the product needs its own agent, conflicts with EDR and UEM are found in a pilot ring or in production.
Six ways this purchase goes wrong. Each is recoverable if caught before signature.
Blocking mode enabled too early
Legitimate business stops, the policy reverts to monitor within days, and it is never re-enabled. Monitor first, tune, then block one narrow policy.
Classification rules that flag every invoice
A rule matching any nine-digit number flags the entire finance function. Precision is tuning work, and it is the work that decides whether anyone trusts the console.
Agent conflicts with the existing EDR
Two agents hooking the same file operations degrade the endpoint or break each other. Test in a pilot ring; two products here need no agent at all.
Cloud DLP that only sees sanctioned applications
The personal drive a user signs into is invisible unless traffic also passes an inline proxy. Ask for the connected-application list.
No owner for the incident queue
Alerts accumulate unreviewed and the deployment becomes shelfware with a renewal attached. Name the reviewer before signing.
AI prompt exfiltration uncovered
Most policies do not cover it at all. Two products on this page document it as a channel; if that is your exposure, it is a shortlist of two.
Vendor-neutral. No gated content. · Last reviewed