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Varonis DLP
Secure the front door. Email is where most attacks arrive — Varonis DLP stops sensitive data being lost, leaked or stolen — with a data-centric approach that’s agentless, accurate (few false positives), prevention-first, and doesn’t break legitimate work like legacy DLP does.
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Varonis DLP (Data Loss Prevention) stops your sensitive data from being lost, leaked or stolen — automatically discovering and classifying sensitive data, monitoring how it's used and moved, and preventing exfiltration and exposure — from Varonis, the pioneer of data-centric security, with a modern, data-centric approach that avoids the pain of traditional DLP. Here's what makes it different: traditional DLP has a bad reputation, and for good reason — legacy DLP tools are notoriously painful (complex to deploy, requiring agents everywhere; noisy and full of false positives; hard to maintain; and frequently breaking legitimate work by blocking things they shouldn't) — because they try to prevent data loss without truly understanding the data, so they rely on brittle rules and pattern-matching that misfire. Varonis takes a fundamentally better, data-centric approach. Because Varonis deeply understands your data (accurately discovering and classifying what's sensitive — from nearly two decades of data-security expertise) and its context (who owns it, who can access it, what's normal), its DLP is far more accurate and effective, and far less painful: it's agentless and cloud-native (no army of endpoint agents to deploy and manage); it prevents data loss based on genuine understanding of what the data is and how it's really being used, not brittle rules (so far fewer false positives and far less breakage of legitimate work); and it focuses on where sensitive data actually is and moves. Varonis DLP discovers and classifies your sensitive data everywhere it lives (cloud, SaaS, on-prem); reduces its exposure (so there's less to leak); monitors data activity to spot risky handling and exfiltration; and prevents data loss — stopping exfiltration, controlling risky sharing and movement, and enforcing policy — accurately and without the traditional DLP pain. The result is effective data-loss prevention that actually works and doesn't drive everyone crazy: your sensitive data protected from leaks and theft, without the false positives, deployment nightmares, and business disruption that gave legacy DLP its bad name. TechBag scopes, deploys and quotes it in INR/GST for Indian organisations.
The Varonis platform family
This page covers DLP — data loss prevention. The rest of the platform:
Quick facts
30-second orientation- Product
- Varonis DLP — data loss prevention
- Vendor
- Varonis — the data-security pioneer
- The problem
- Legacy DLP is painful: complex, noisy, breaks work
- The difference
- Data-centric — understands the data, so it's accurate
- Deployment
- Agentless, cloud-native (no agent army)
- Fewer false positives
- Understands data & context, not brittle rules
- Discovers & classifies
- Sensitive data across cloud, SaaS, on-prem
- Prevents
- Exfiltration, risky sharing, data loss
- The result
- DLP that works, without the pain
- In India via
- TechBag — deployment, quotes, GST invoicing, support
Understand email security before you buy it
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
What is Varonis DLP?
Data Loss Prevention — stop sensitive data being lost, leaked or stolen, with a data-centric approach that avoids legacy DLP pain.
Unprotected inbox vs AI email security — the honest table
What consolidation actually replaces, dimension by dimension.
| Dimension | Unprotected / signature email | Varonis DLP (Varonis) |
|---|---|---|
| Approach | Brittle rules & patterns | Understands the data (data-centric) |
| Accuracy | Noisy, false positives | Accurate, low-noise |
| Legitimate work | Frequently broken | Not disrupted |
| Deployment | Agent army + chokepoints | Agentless, cloud-native |
| Maintenance | Constant tuning, painful | Far lower burden |
| Philosophy | Block at the exit only | Prevention-first (reduce exposure) |
| Coverage | Endpoint chokepoints | Data at its source (cloud/SaaS/on-prem) |
| Integration | Standalone silo | Part of one data platform |
Legacy DLP is painful — noisy, breaks work, agent hell. Varonis's data-centric DLP is accurate, agentless, prevention-first, and doesn't break work. DLP that actually works.
The five pieces of the platform
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
Discovery & Classification
Accurately discovers and classifies sensitive data across cloud, SaaS and on-prem — so DLP is based on genuine understanding of what your data is, the foundation that legacy DLP lacks.
Exposure Reduction
Reduces data exposure (right-sizing access, removing over-sharing) so there's less sensitive data exposed to leak in the first place — prevention before the point of loss.
Data-Activity Monitoring
Monitors how sensitive data is actually used and moved — who's doing what with it — to spot risky handling and exfiltration accurately, based on real behaviour not brittle rules.
Loss Prevention
Prevents data loss — stopping exfiltration, controlling risky sharing and movement, enforcing policy — accurately (few false positives) and without breaking legitimate work.
Agentless & Cloud-Native
Delivered agentless and cloud-native — no army of endpoint agents to deploy and manage — avoiding a major source of traditional DLP's deployment and maintenance pain.
One agent on every machine, one console over all of them — modules attach without a second operational world.
Twelve capabilities. Classify, monitor, prevent.
Legacy DLP is painful — data-centric DLP is accurate, agentless & doesn’t break work — part of the portfolio, and paired with the human firewall.
Discover Sensitive Data
Automatically find where sensitive data lives across cloud, SaaS and on-prem — so DLP protects data everywhere it actually is, not just at a few chosen chokepoints.
Accurate Classification
Classify sensitive data accurately (personal, financial, IP, secrets) using Varonis's deep classification — so DLP knows what's truly sensitive, avoiding the false positives of pattern-matching alone.
Data Context Awareness
Understand the context of data — who owns it, who can access it, what's normal — so DLP decisions are based on genuine understanding, not brittle rules that misfire and break work.
Reduce Exposure First
Reduce data exposure proactively (right-size access, remove over-sharing) so there's less sensitive data exposed to leak — preventing loss before it can happen, not just blocking at the exit.
Monitor Data Usage & Movement
Monitor how sensitive data is actually used and moved — who accesses, shares, downloads and transfers it — to spot risky handling and potential exfiltration based on real behaviour.
Detect Risky Sharing
Detect risky sharing and exposure of sensitive data — public links, over-broad access, external sharing — so you can catch and stop the exposures that lead to leaks.
Detect Exfiltration
Detect data exfiltration — mass downloads, unusual transfers, sensitive data leaving in abnormal ways — accurately, so real theft is caught without a flood of false alarms.
Few False Positives
Because DLP decisions are based on real understanding of the data and context (not brittle pattern-rules), false positives are far fewer — so teams aren't drowned in noise and legitimate work isn't broken.
Prevent Data Loss
Prevent sensitive data from being lost — stopping exfiltration, controlling risky movement and sharing, enforcing policy — accurately, so real threats are stopped without disrupting legitimate work.
Policy Enforcement
Enforce data-handling policies — controlling how sensitive data can be shared, moved and used — grounded in accurate classification, so policy applies to the right data.
Agentless & Cloud-Native
Deploy agentless and cloud-native — no army of endpoint agents to install, manage and troubleshoot — avoiding one of the biggest sources of traditional DLP's deployment and maintenance pain.
Compliance Support
Support data-protection compliance (DPDP, GDPR, HIPAA, PCI) by protecting regulated data from loss and demonstrating control — with accurate classification underpinning the evidence.
Watch Varonis DLP in action
The overview, getting started, and protecting M365 email.
Surfing the DSPM Wave: Catching Success With Cloud DLP
Modern, cloud-native DLP.
Varonis Product Updates | May 2024
Data protection advances.
How Varonis Helps with GDPR Compliance
Protecting regulated data.
Want a live, India-context walkthrough on your own fleet?
Book a guided demo →The endpoint catches what arrives. Email stops it arriving.
Here’s what genuinely sets Varonis DLP apart.
Legacy DLP is painful — Varonis fixes what gave DLP its bad name
The fundamental reason Varonis DLP matters is that traditional DLP has earned a genuinely bad reputation — legacy DLP tools are notoriously painful — and Varonis takes a fundamentally better, data-centric approach that fixes the very things that made DLP so frustrating. Let's be honest about why legacy DLP is so disliked, because it's real. First, it's complex and painful to deploy: traditional DLP typically requires deploying agents across all your endpoints and configuring chokepoints everywhere, which is a huge, ongoing operational burden. Second, it's noisy and full of false positives: legacy DLP relies heavily on rules and pattern-matching (e.g. 'block anything that looks like a credit-card number') without truly understanding the data or context, so it constantly misfires — flagging innocuous things as sensitive, generating a flood of false-positive alerts that overwhelm teams and get ignored. Third, and worst, it breaks legitimate work: because it acts on brittle rules without understanding, it frequently blocks things it shouldn't — stopping employees from doing legitimate work, causing frustration, business disruption, and pressure to disable the controls. Fourth, it's hard to maintain: the rules need constant tuning, and it never quite works well. The result is that many organisations' DLP projects are painful, ineffective, and resented — a lot of cost and disruption for questionable protection. Varonis fixes this with a data-centric approach. The root problem with legacy DLP is that it tries to prevent data loss without truly understanding the data — so it relies on brittle rules that misfire. Varonis starts from deep, accurate understanding of the data (what's actually sensitive, from nearly two decades of classification expertise) and its context (who owns it, who can access it, what's normal). Building DLP on genuine understanding rather than brittle rules makes it far more accurate (it knows what's really sensitive, so far fewer false positives), far less disruptive (it doesn't break legitimate work with misfiring rules), and — being agentless and cloud-native — far easier to deploy (no agent army). So Varonis delivers DLP that actually works and doesn't drive everyone crazy: effective data-loss prevention without the false positives, deployment nightmares and business disruption that gave legacy DLP its bad name. For anyone burned by traditional DLP (which is many), this data-centric approach is a genuine relief and a genuine improvement. TechBag helps organisations get DLP that works with Varonis.
Understanding the data is why Varonis DLP is accurate and low-noise
The core reason Varonis DLP is so much more accurate and less noisy than traditional DLP is that it deeply understands your data — and DLP built on genuine understanding of what data is sensitive and how it's really used is fundamentally more accurate than DLP built on brittle rules and pattern-matching. Here's the crux. To prevent data loss well, you need to accurately know two things: what data is actually sensitive (so you protect the right things), and what constitutes risky handling of it (so you catch real threats without flagging normal activity). Legacy DLP does both poorly, because it lacks real understanding: it identifies 'sensitive' data by simple pattern-matching (regexes for things that look like SSNs, credit cards, etc.), which produces tons of false positives (innocuous things that match the pattern) and false negatives (sensitive data that doesn't match a simple pattern); and it judges 'risky' by rigid rules that don't understand context, so it flags normal activity as risky and misses genuinely risky activity. This is why legacy DLP is so noisy and inaccurate. Varonis is built on genuine understanding. Accurate classification: Varonis's nearly two decades of data-security expertise give it deep, accurate classification — it truly identifies what's sensitive (across many data types, accurately), not just what matches a crude pattern, so it protects the right data with far fewer false positives and false negatives. Context understanding: Varonis understands the context of data — who owns it, who normally accesses it, what normal use looks like — so it can distinguish genuinely risky handling (an unusual person exfiltrating sensitive data) from normal activity (someone doing their job), rather than flagging everything that matches a rule. This understanding-based approach makes Varonis DLP dramatically more accurate: it flags real risks to real sensitive data, with far fewer false positives — which is the single biggest improvement over legacy DLP, because false positives are what overwhelm teams, get controls ignored, and break legitimate work. So the accuracy isn't a minor tuning improvement; it's a fundamentally different, better foundation — understanding the data rather than guessing from patterns. For DLP that teams can actually trust and live with, this understanding-based accuracy is decisive. TechBag helps organisations get accurate, low-noise DLP with Varonis. The honest scope follows.
Prevention-first — reduce exposure so there's less to lose
A distinctive strength of Varonis's approach to data-loss prevention is that it's prevention-first: it reduces your data exposure proactively (so there's less sensitive data exposed to be lost in the first place), rather than only trying to block loss at the exit — which is a more fundamental and effective way to protect data. Consider the two philosophies. Traditional DLP is largely about blocking at the exit: it tries to catch and stop sensitive data as it's about to leave (via email, upload, download, etc.) — a last line of defence at the point of loss. This is necessary but limited: it's reactive (waiting for data to be on its way out), it's where false positives and business disruption are worst (blocking things at the moment people are trying to work), and it does nothing about the underlying over-exposure that makes data easy to lose. Varonis adds a prevention-first layer: it reduces the exposure of your sensitive data before any loss is attempted. Because Varonis knows where your sensitive data is, who can access it, and where it's over-exposed (through its DSPM/classification capabilities), it can proactively reduce that exposure — right-sizing access to least privilege (so far fewer people can reach sensitive data, meaning far fewer people could leak it), removing risky over-sharing (public links, over-broad access), and cleaning up sensitive data that's in the wrong place. This means there's simply less sensitive data exposed to be lost: fewer people who could exfiltrate it, fewer risky shares that could leak it, less sprawl to protect. This prevention-first approach is more fundamental because it addresses the root condition (over-exposure) that makes data loss easy and damaging, rather than only trying to catch loss at the last moment. And it makes the exit-blocking layer more effective too: with less exposure to begin with, there's less for the exit-controls to catch, so they're less overwhelmed and less disruptive. This combination — reduce exposure first (so there's less to lose), then monitor and prevent loss (accurately, for what remains) — is a far stronger model than exit-blocking alone. It reflects Varonis's data-centric philosophy: protect the data at its source and in its state, not just at the boundary. For genuinely effective data-loss prevention, reducing exposure first is a powerful, often-overlooked foundation. TechBag helps organisations take a prevention-first approach to DLP with Varonis. The honest scope follows.
Agentless and cloud-native — no deployment nightmare
A significant practical advantage of Varonis DLP is that it's agentless and cloud-native — avoiding the deployment and maintenance nightmare of traditional DLP's endpoint-agent model, which was one of the biggest operational pains of legacy DLP. Consider the traditional DLP deployment burden. Legacy DLP typically requires deploying agents on all your endpoints (every laptop, desktop, server), plus configuring network chokepoints and gateways — a large, complex, ongoing operational undertaking. Deploying agents across a whole organisation is a major project; keeping them installed, updated, and working across a diverse, changing fleet is a constant maintenance burden; agents can impact endpoint performance and cause conflicts; and coverage is always imperfect (unmanaged devices, new devices, agents that fail). This agent-heavy model is a big reason legacy DLP is so painful and expensive to run — a lot of the cost and frustration is just in deploying and maintaining the agents, before you even get to the protection. Varonis DLP takes a modern, agentless, cloud-native approach. Rather than requiring agents everywhere, it connects to your data environments (cloud apps, SaaS platforms, on-prem repositories) directly and monitors data activity there — understanding what's happening to your data at the source, without needing an agent on every endpoint. This has major benefits. Far easier deployment: you connect Varonis to your data sources, rather than rolling out and managing agents across your whole fleet — dramatically less deployment effort and time. Far less maintenance: no army of agents to keep updated and working. No endpoint impact: nothing installed on endpoints to slow them down or conflict with other software. Better coverage of the data: because it watches the data at its source (in the cloud apps and repositories where sensitive data lives), it sees data activity comprehensively, not just what happens to pass through an agent-covered endpoint. This agentless, cloud-native architecture fits how data actually lives today (in cloud and SaaS, accessed from many devices) far better than the old endpoint-agent model, and it removes a huge chunk of the operational pain that made legacy DLP so burdensome. For organisations that dreaded (or suffered through) traditional DLP agent rollouts, this is a major, practical improvement. TechBag helps organisations deploy modern, agentless DLP with Varonis. The honest scope follows.
Part of one data-security platform — DLP that's integrated, not siloed
A meaningful advantage of Varonis DLP is that it's part of one integrated data-security platform — sharing the same deep data understanding, classification, and monitoring as Varonis's DSPM, DDR, and access governance — rather than being a standalone, siloed DLP tool disconnected from everything else. This integration matters. Data loss prevention doesn't stand alone conceptually — it's intimately connected to knowing where sensitive data is (discovery/classification), who can access it (access governance), how it's being used (activity monitoring), and detecting threats to it (detection). Traditional DLP is often a standalone silo, which is part of why it's ineffective: it lacks the surrounding understanding, so it operates on brittle rules in isolation. Varonis DLP is different because it's one capability of a unified platform, sharing everything. It shares Varonis's accurate classification — so DLP knows exactly what's sensitive, the same accurate understanding that powers the rest of the platform. It shares the exposure reduction — DLP benefits from (and contributes to) the least-privilege and exposure-reduction that DSPM and access governance provide, enabling the prevention-first approach. It shares the data-activity monitoring — the same monitoring that powers threat detection (DDR) also informs DLP's understanding of how data is used and moved. And it shares the response capabilities. This means Varonis DLP is far more effective than a standalone tool, because it's grounded in comprehensive understanding of your data, access, and activity — not operating blind on rules. And for the organisation, it means one integrated platform for the whole data-security lifecycle — discovery, posture, access governance, DLP, and detection/response — rather than a patchwork of disconnected point tools that each understand only their narrow slice. This integrated, data-centric approach is fundamentally more effective and more coherent than siloed DLP. So Varonis DLP isn't just a better DLP tool in isolation — it's DLP done right because it's part of a platform that deeply understands your data. For organisations wanting genuinely effective, coherent data protection, this integration is a major advantage. TechBag helps organisations adopt integrated, data-centric DLP with Varonis. The honest scope follows.
The honest scope
Varonis DLP is a modern, data-centric data-loss-prevention solution — discovering and classifying sensitive data, reducing its exposure (prevention-first), monitoring how it's used and moved, and preventing exfiltration and loss — accurately, agentlessly, and without the false positives and business disruption that gave legacy DLP its bad name, as part of one integrated data-security platform. The honest framing: DLP is a mature, crowded category with established players — traditional endpoint-and-network DLP vendors (like Forcepoint, Symantec/Broadcom, Trellix), the DLP built into Microsoft Purview, and newer approaches — and organisations have varied DLP needs (some need heavy endpoint/egress control at the device level, which endpoint-DLP specialists focus on). Varonis's distinctive edge is its data-centric approach: because it deeply understands the data (accurate classification and context, from nearly two decades of focus), its DLP is far more accurate (fewer false positives), far less disruptive (doesn't break legitimate work), agentless and cloud-native (no deployment nightmare), prevention-first (reduces exposure so there's less to lose), and integrated with the broader platform — addressing exactly the pain points that make traditional DLP so disliked. It's most compelling for organisations with significant sensitive data (especially in cloud/SaaS and file repositories) who want effective data-loss prevention without the traditional DLP pain, and who value the integrated, data-centric approach. For heavy device-level egress control, endpoint-DLP specialists may complement it. TechBag scopes Varonis DLP honestly against the alternatives, and quotes it in INR/GST.
The numbers behind the platform
What your DLP journey looks like
DLP scoping
Your sensitive data, your data-loss concerns, and any pain from existing/legacy DLP (false positives? broken work? agent hell?). TechBag scopes it free.
Classify & reduce
Discover and classify your sensitive data (agentless); reduce exposure prevention-first (least privilege, remove over-sharing) so there's less to lose.
Monitor & prevent
Monitor how sensitive data is used and moved; prevent exfiltration and loss accurately — real threats stopped, legitimate work not broken.
Protected, painlessly
Your sensitive data protected from leaks and theft, accurately and without the traditional DLP pain. TechBag models it in INR/GST.
Trusted across regulated industries in 100+ countries
The review scoreboard
Modelled on Gartner Peer Insights structure. *Counts and breakdowns are illustrative pending verified review collection.
Quick poll — what’s driving your evaluation?
Talk to an advisor“We'd been through legacy DLP hell — endless false positives, blocked legitimate work, an agent-management nightmare. Varonis's data-centric DLP was a revelation: accurate, agentless, and it didn't break everyone's work.”
“The accuracy is night and day versus our old DLP — because Varonis actually understands what's sensitive, it flags real risks, not a flood of noise. Our team can finally trust and act on the alerts.”
“Agentless and cloud-native meant we deployed in a fraction of the time our old endpoint-agent DLP took — no agent army to roll out and babysit. Huge operational relief.”
“The prevention-first approach clicked for us — by reducing exposure first (least privilege, removing over-sharing), there's simply less sensitive data that could leak. Far more fundamental than just blocking at the exit.”
“It didn't break legitimate work like our old DLP constantly did — because it understands context, it doesn't misfire on normal activity. The business stopped complaining, which is unheard of for DLP.”
“Being integrated with the rest of Varonis — same classification, same understanding of access — makes the DLP far more effective than a standalone tool. It's DLP grounded in real data understanding.”
“For GDPR and DPDP, protecting regulated personal data from loss — accurately, with evidence — was exactly what we needed, without the disruption legacy DLP would have caused.”
“After years of dreading DLP, this is the first one our team doesn't hate. It works, it's accurate, and it doesn't get in the way. TechBag scoped and deployed it for us.”
Where everyone sits — the grids
Analyst firms bury this view behind paywalls, and G2 retired its Grid. So here’s TechBag’s synthesis of the email security market — tap any vendor to see why it sits where it does.
TechBag Email-Security Grid
Execution strength vs product vision — the classic market map, minus the paywall.
Data-centric, agentless, accurate DLP without the pain. This page's product.
Detection × Portfolio Integration
The grid nobody publishes — how strong the email detection is vs how integrated with the wider security portfolio.
Data understanding + accuracy + prevention-first.
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.
Varonis DLP vs the DLP field
Legacy DLP, Purview DLP, endpoint DLP and no-DLP — honest lanes; the edge is data-centric accuracy (few false positives), agentless deployment, prevention-first, and no broken work.
| Dimension | Varonis DLP | Legacy DLP (Forcepoint…) | MS Purview DLP | Endpoint DLP | No DLP |
|---|---|---|---|---|---|
| Approach | Data-centric — understands the data | Rules & patterns | MS-ecosystem DLP | Device egress control | The gap |
| Accuracy / few false positives | High (understands data) | Noisy | Varies | Rule-based | N/A |
| Agentless + doesn't break work | Agentless, cloud-native, low-disruption | Agent army, breaks work | M365-native | Endpoint agents | No agents (no DLP) |
| Prevention-first + integrated platform | Reduce exposure first; one platform | Exit-blocking silo | Within Purview | Egress only | None |
| Best fit | Effective DLP without the pain; data-centric | Nobody happily — legacy pain | MS-ecosystem shops | Heavy device egress control | Nobody — data must be protected |
Which email-security approach fits you?
Honest fit signals — because the fastest way to lose your trust is to pretend one product wins every scenario.
Choose Varonis DLP if…
- ✓You want effective DLP WITHOUT the legacy pain (false positives, broken work, agents)
- ✓You want data-centric accuracy — it understands what's truly sensitive
- ✓You want agentless, cloud-native, prevention-first data protection
- ✓You want DLP integrated with a platform that deeply understands your data
Legacy DLP if…
- ✓You're locked into an existing traditional DLP (but consider the pain it causes)
MS Purview DLP if…
- ✓You want DLP bundled within the Microsoft ecosystem you already run
Endpoint DLP if…
- ✓You need heavy device-level egress control (can complement Varonis)
No DLP if…
- ✓Never — sensitive data will leak without protection against loss
What do email threats cost you?
Drag the sliders (count users; IT-hour cost as loaded incident rate). Estimates assume ~1.5 hours per user per year handling email threats that reach the inbox without AI filtering, with ~70% removed by stopping the mass at the gateway — the avoided-breach value (most attacks start here) is the larger, unpriced win. Illustrative.
Loaded cost = salary + overheads per productive hour. Illustrative only — your TechBag quote models actual device counts and modules.
Three ways to consume it
Varonis DLP is subscription-licensed, scoped to your data environments, and commonly adopted within the platform (with DSPM/DDR/access governance). Agentless — no agent-rollout cost. TechBag scopes it and quotes in INR/GST.
Varonis DLP
Best for data protection
- Data-centric, accurate, few false positives
- Agentless & cloud-native; prevention-first
- Stops loss without breaking legitimate work
+ Platform add-ons
Best for a broader rollout
- Scoped to your estate
- Add-on modules as needed
- Phased, right-sized deployment
+ Data platform
Best complete
- DLP with DSPM, DDR, access governance
- One integrated data-security platform
- TechBag scopes the mix
Buy it for less — TechBag pricing beats list
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.
Get an India-ready quote
Tell us your device counts and current tools — we’ll model it against what you spend today.
The 8 questions to ask every vendor
Take this into your next vendor call — including ours.
Assess the pain of any existing DLP — false positives, broken work, agent burden.
Discover and classify your sensitive data accurately (agentless) across your environment.
Reduce exposure prevention-first (least privilege, remove over-sharing) so there's less to lose.
Monitor how sensitive data is used and moved to spot risky handling and exfiltration.
Prevent data loss accurately — stop real exfiltration without breaking legitimate work.
Enforce data-handling policies grounded in accurate classification.
Protect regulated data (DPDP, GDPR, HIPAA, PCI) and demonstrate control.
Scope DLP alongside DSPM, DDR and access governance — TechBag quotes in INR/GST.
Questions buyers ask
Ready for DLP that actually works?
Scope Varonis DLP (data-centric, agentless, accurate, prevention-first — protect sensitive data from loss without the legacy DLP pain), escape false-positive hell, or let a TechBag advisor plan your data-loss prevention.
Stats, ratings, review counts and pricing are illustrative and sourced from public materials; verify before purchase.