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ARMOR Data Classification
Secure the front door. Email is where most attacks arrive — ARMOR Data Classification automatically labels your data by sensitivity — public, internal, confidential, restricted — the foundation the rest of your data security builds on, with labels that drive Seclore’s persistent protection.
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Seclore ARMOR Data Classification automatically identifies and labels your data by sensitivity — public, internal, confidential, restricted — so every piece of data carries a clear tag saying how sensitive it is and how it should be handled, forming the foundation the rest of your data security builds on. It solves a simple but essential problem: you can't consistently protect data if you don't know how sensitive each piece is, and manually classifying data doesn't scale (people forget, mislabel, or don't bother). Data classification fixes this by automatically (and, where useful, with user assistance) analysing data — documents, files, emails — and applying sensitivity labels based on content, context and policy, so sensitivity is known and consistent across the organisation. Those labels then drive everything else: they tell DLP what to watch, tell EDRM what to protect, inform who should access what, guide handling (can this be emailed externally? printed?), and evidence compliance. Seclore's classification is part of its data-centric approach — it doesn't just label data, it feeds directly into Seclore's persistent protection (EDRM) and the ARMOR platform, so classification leads to automatic protection: a file classified 'confidential' can be automatically wrapped in follow-the-data controls. This connection of classification to protection is the point — labels that actually drive security, not just tags in a corner. Seclore is an India-origin data-centric security pioneer (Mumbai-HQ, IIT-Bombay roots). Data Classification is the labelling foundation of the ARMOR platform. TechBag scopes, licenses and supports it in INR/GST for Indian enterprises.
The Seclore platform family
This page covers ARMOR Data Classification — the labelling foundation. The rest of the Seclore ARMOR platform:
Quick facts
30-second orientation- Product
- ARMOR Data Classification — sensitivity labelling
- Vendor
- Seclore (Mumbai · IIT Bombay-incubated · ~2008)
- The category
- Data Classification
- The core
- Auto-label data by sensitivity
- Labels
- Public, internal, confidential, restricted
- Why it matters
- The foundation the rest of data security builds on
- The edge
- Classification feeds Seclore protection (EDRM)
- Drives
- DLP, EDRM, access, handling, compliance
- Platform
- The labelling foundation of Seclore ARMOR
- In India via
- TechBag — licensing, quotes, GST invoicing, support
Understand data classification before you buy it
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
What is ARMOR Data Classification?
Automated sensitivity labelling — identify and tag data as public, internal, confidential or restricted, so its sensitivity is known and consistent.
Unclassified data vs sensitivity-labelled data — the honest table
What consolidation actually replaces, dimension by dimension.
| Dimension | Unprotected / signature email | ARMOR Data Classification (Seclore) |
|---|---|---|
| How sensitive is this data? | Unknown / inconsistent | Clearly labelled |
| Classification method | Manual, user-dependent | Automated + assisted |
| Coverage | Partial, forgotten | Consistent, organisation-wide |
| The label | Just a tag in the corner | Drives real protection |
| Confidential file | Labelled, not protected | Auto-wrapped in EDRM |
| DLP accuracy | Crude pattern-matching | Acts on labels precisely |
| User handling | Unsure how to treat it | Label guides handling |
| DPDP data identification | Ad-hoc | Systematic & evidenced |
Classification's value is what it drives — Seclore's labels feed its follow-the-data EDRM, so confidential data is auto-protected. Best as the foundation of the ARMOR platform, not a standalone tool. Seclore is India-origin. TechBag positions it.
The five pieces of the platform
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
Identify
Analyse data — documents, files, emails — by content, context and policy to determine its sensitivity, so classification is based on what the data actually is, not guesswork or user whim.
Label
Apply clear sensitivity labels — public, internal, confidential, restricted — to each piece of data, so its sensitivity and required handling are explicit, visible and consistent across the organisation.
Automate + Assist
Classify automatically at scale (so it actually happens consistently) while assisting or prompting users where their judgement adds value — combining automation's consistency with human context where it matters.
Drive Security
Labels drive the rest of data security — telling DLP what to watch, EDRM what to protect, informing access and handling — and, distinctively, feed Seclore's persistent protection so 'confidential' data gets automatically protected.
Evidence Compliance
Consistent classification evidences that you know and govern your data's sensitivity — supporting compliance (DPDP, GDPR) which expects organisations to identify and handle personal and sensitive data appropriately.
One agent on every machine, one console over all of them — modules attach without a second operational world.
Twelve capabilities. Identify, label, drive.
Data Classification labels your data by sensitivity — consistently, at scale — and drives real protection: the labelling foundation of the portfolio, and paired with the human firewall.
Automated Classification
Automatically classify data by analysing content, context and policy — so sensitivity is determined and labelled consistently at scale, without relying on every user to remember to classify correctly.
Content & Context Analysis
Analyse the actual content and context of data — recognising personal data, financials, IP, regulated information — to classify accurately, so labels reflect what data really is, not a superficial guess.
User-Assisted Classification
Prompt or assist users to classify where their judgement adds value (they know context automation can't), combining automation's consistency with human insight — and building a data-aware culture.
Clear Sensitivity Labels
Apply clear, consistent labels — public, internal, confidential, restricted (customisable to your scheme) — so every piece of data's sensitivity and handling requirements are explicit and visible to users and systems.
Visual Markings & Metadata
Apply labels as both visual markings (headers, footers, watermarks) and metadata — so sensitivity is clear to people reading the document AND readable by security systems (DLP, EDRM) that act on it.
Consistent, Organisation-Wide
Ensure classification is consistent across the whole organisation — the same rules applied everywhere — so sensitivity means the same thing throughout, and the labels other controls rely on are trustworthy.
Drives DLP Policy
Classification labels tell DLP what to watch and control — so DLP policies act on 'confidential' or 'restricted' data precisely, making DLP far more accurate and effective than pattern-matching alone.
Drives Persistent Protection (EDRM)
Distinctively, labels feed Seclore's persistent protection — a file classified 'confidential' can be automatically wrapped in follow-the-data EDRM controls — so classification leads directly to protection, not just a tag.
Informs Access & Handling
Labels inform who should access data and how it should be handled — can it be emailed externally, printed, shared? — guiding both automated controls and user behaviour according to sensitivity.
Compliance & Governance
Consistent classification evidences that you identify and govern your data's sensitivity — supporting DPDP, GDPR and sector mandates, which expect organisations to know and appropriately handle personal and sensitive data.
Office, Email & Ecosystem
Integrate with the tools where data is created and used (Office, email, file systems, collaboration) and with the security stack (DLP, CASB, EDRM) — so classification fits naturally into workflows and drives the ecosystem.
The Labelling Foundation of ARMOR
Data Classification is the labelling foundation of the Seclore ARMOR platform — it labels the sensitive data DSPM discovers, so EDRM can protect it and AI-DLP can control it at the AI layer, according to its sensitivity.
Watch Seclore ARMOR in action
The overview, getting started, and protecting M365 email.
Understanding Data-Centric Security
Why classification underpins protection.
How Seclore ARMOR Works
The ARMOR data-security platform.
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 Seclore ARMOR Data Classification apart.
Classification is the foundation — you can't protect consistently without it
Data classification is the essential foundation of data security — the step that makes everything else work — because you can't consistently protect, control or govern data if you don't know how sensitive each piece is, and Seclore Data Classification provides that foundational knowledge, automatically and at scale. Consider the problem: an organisation has vast amounts of data, and it varies enormously in sensitivity — from public marketing material to internal documents to highly confidential financials, IP and regulated personal data. To protect it appropriately, you need to know which is which: you'd protect a confidential contract very differently from a public brochure. But without classification, all data is undifferentiated — your security tools can't tell what's sensitive, so they either over-protect everything (impractical, and frustrating for users) or under-protect (leaving sensitive data exposed), and users don't know how to handle each document. Classification solves this by tagging each piece of data with its sensitivity level, so its sensitivity is known, explicit and consistent. This foundational knowledge then enables everything else: DLP can watch and control specifically the sensitive data (accurately, not by crude pattern-matching); protection (EDRM) can be applied to what's actually confidential; access can be informed by sensitivity; users know how to handle each document (this is 'restricted' — don't email it externally); and compliance can evidence that sensitive data is identified and governed. Crucially, manual classification doesn't scale — relying on every user to correctly classify every document means inconsistency, mistakes, forgotten labels and unclassified data, undermining everything built on it. Seclore's automated (and user-assisted) classification makes it consistent and scalable: data gets classified reliably across the organisation, so the foundation the rest of your data security rests on is solid. For any serious data-security or compliance programme, classification isn't optional — it's the base layer, and automating it well is essential. TechBag helps organisations build this foundation.
Automated and consistent — because manual classification fails
A core value of Seclore Data Classification is that it's automated (and user-assisted where useful), which matters enormously because manual, user-dependent classification consistently fails at scale — and unreliable classification undermines everything built on it. Why manual classification fails: if you rely on users to classify every document and email they create, the results are poor: people forget to classify, don't bother (it's friction), classify inconsistently (different people apply different judgement), mislabel (deliberately or by mistake), and leave vast amounts of data unclassified. So the classification is incomplete and unreliable — and since DLP, protection and compliance all depend on the labels, unreliable classification means unreliable security. Users aren't the problem; expecting perfect manual classification at scale is unrealistic. Seclore's automated approach fixes this: it automatically analyses and classifies data based on content, context and policy, applying labels consistently across the organisation without depending on every user to do it manually. This delivers coverage (data actually gets classified, comprehensively, not just when someone remembers), consistency (the same rules applied everywhere, so 'confidential' means the same thing throughout), and accuracy (based on analysing the actual content, not user whim). Where human judgement genuinely adds value — context automation can't infer — it assists or prompts users, combining automation's reliability with human insight, and building a data-aware culture. The result is trustworthy classification: the labels the rest of your data security relies on are complete, consistent and accurate, so DLP acts on the right data, protection is applied to what's truly sensitive, and compliance evidence is sound. This reliability is exactly what makes classification useful rather than a well-intentioned failure — automated, consistent classification is the difference between a solid foundation and a shaky one. For organisations that have tried (and struggled with) manual classification, automation is the answer. TechBag helps deploy reliable automated classification.
Labels that drive protection — not just tags in a corner
The distinctive value of Seclore's Data Classification, versus classification tools that just apply labels, is that its labels drive actual protection — feeding directly into Seclore's persistent protection (EDRM) and the ARMOR platform — so classification leads to security, not just a tag in the corner of a document. The limitation of classification-only tools: many classification tools apply sensitivity labels well, but the label is then just a marking — it's up to other, separate systems (or users) to actually act on it, and often they don't, or the integration is loose. So you get nicely-labelled data that isn't actually better protected — the classification effort doesn't translate into security. Seclore closes this gap because classification is part of its data-centric platform: the labels drive Seclore's own persistent protection directly. A file classified 'confidential' can be automatically wrapped in Seclore EDRM's follow-the-data controls — so classification results immediately in protection: the confidential file doesn't just get a label, it gets encrypted with usage controls that travel with it. The labels also drive DLP (watch and control the sensitive data), inform access, and guide handling. This automatic classification-to-protection flow is powerful: it means classifying your data automatically results in it being protected according to its sensitivity, closing the loop from 'knowing how sensitive data is' to 'protecting it accordingly'. It reflects Seclore's heritage as a protection company — its classification exists to drive its protection, so the two are tightly integrated by design, rather than classification being a separate, disconnected step. For organisations that want classification to actually improve security (not just add labels), this labels-drive-protection integration is a genuine differentiator and the whole point of classifying in the first place. Classification without protection is just tagging; Seclore makes classification the trigger for real, persistent data protection. TechBag helps you connect classification to protection.
A DPDP and compliance foundation
Seclore Data Classification provides a foundation for compliance — especially India's DPDP Act and other data-protection regulations — because these regulations require organisations to know what sensitive and personal data they have and to handle it appropriately, which starts with identifying and classifying it. What data-protection regulations require: India's DPDP Act, GDPR and sector mandates all expect organisations to know their personal and sensitive data, protect it according to its sensitivity, control access to it, and be able to demonstrate this governance. You can't handle personal or sensitive data appropriately if you haven't identified and classified it — classification is the starting point for compliant data handling. How classification helps: by automatically identifying and labelling sensitive and personal data across the organisation, Seclore Data Classification gives you the knowledge of what data is sensitive and where — the foundation for applying the right protection and handling, and for evidencing that you're governing sensitive data appropriately. The labels then drive the compliant handling: DLP prevents mishandling of classified sensitive data, EDRM protects it, access is informed by sensitivity, and the consistent classification itself is evidence to regulators and auditors that you identify and govern your data. For Indian organisations navigating DPDP specifically, being able to systematically identify, classify and then protect and govern personal and sensitive data is directly relevant to compliance, and classification is where it begins. And because Seclore is an India-origin vendor, DPDP-aware, this compliance foundation is delivered with understanding of the Indian regulatory context. So beyond enabling better security generally, classification serves the concrete, increasingly-mandatory purpose of underpinning data-protection compliance — a strong, budget-justifying driver for many organisations. TechBag helps you use classification as a DPDP and compliance foundation.
The foundation of the ARMOR platform — from an India-origin pioneer
Seclore Data Classification is the labelling foundation of the broader ARMOR platform, from an India-origin data-centric security pioneer — which matters because classification delivers most value as part of an integrated data-security strategy, and Seclore provides that whole strategy, home-grown. Platform integration: in the ARMOR platform, the layers work together — DSPM discovers your sensitive data (finds it wherever it lives), Data Classification labels it by sensitivity (this product), EDRM protects it persistently (follow-the-data controls), and AI-DLP controls it at the AI layer. Classification is the connective tissue: it labels the data DSPM discovers, so EDRM knows what to protect and AI-DLP knows what to control, all according to sensitivity. This integration means classification isn't a standalone exercise producing labels nobody acts on — it's woven into a strategy where labels drive discovery-informed, sensitivity-appropriate protection and control across the data lifecycle. Adopting Seclore's classification within ARMOR means your classification effort directly powers your data security. India origin: Seclore's Mumbai HQ, IIT-Bombay roots and 15+ years of data-centric expertise mean local presence, DPDP-awareness, data-sovereignty options, and support for a home-grown data-security pioneer — relevant and valued for Indian buyers. Heritage: as a data-security specialist that built classification to drive its protection, Seclore's classification is purpose-designed for security outcomes, not a generic labelling tool. For organisations building a data-security strategy — especially under DPDP, and especially those valuing an India-origin platform — adopting classification as the foundation of an integrated, protection-connected ARMOR platform is a sound, strategic move. TechBag helps you build classification as the foundation of a full data-security strategy with Seclore. TechBag scopes classification within the broader ARMOR platform.
The honest scope
Seclore ARMOR Data Classification is an automated (and user-assisted) data-classification product — identifying and labelling data by sensitivity (public, internal, confidential, restricted) based on content, context and policy, consistently at scale, with visual markings and metadata — and distinctively, its labels drive Seclore's persistent protection (EDRM) and the ARMOR platform, so classification leads to protection. From an India-origin data-centric pioneer. The honest framing: data classification is a mature, competitive space with several established players — Microsoft Purview Information Protection (with sensitivity labels, compelling and 'included' for Microsoft-committed organisations), Fortra/Titus and Boldon James (long-established classification specialists), and others. Standalone classification is somewhat commoditised; the differentiation is increasingly in what the classification drives. Seclore's distinctive value is precisely that: its classification is tightly integrated with its follow-the-data protection (EDRM) and the ARMOR platform (DSPM, AI-DLP), so labels result in real, persistent protection rather than just tags — making it most compelling when you want classification that drives protection (especially Seclore's unique EDRM), as part of an integrated data-security strategy, rather than as a standalone labelling tool. Plus its India origin (DPDP-awareness, local support, sovereignty). If you're all-Microsoft and want bundled labelling, Purview is a natural default; if you want dedicated classification, Titus/Boldon James are specialists; Seclore is most compelling for classification-that-drives-protection within a data-centric strategy from an India-origin vendor. It's rarely bought purely standalone — its value is as the foundation of the ARMOR platform. TechBag scopes Seclore Data Classification honestly against Purview and Titus, positions it within your data-security strategy, and licenses it in INR/GST with implementation support.
The numbers behind the platform
What your Seclore Classification journey looks like
Classification scoping
Your sensitivity scheme, where classification is weakest today, and what you want labels to drive (DLP, EDRM protection, compliance). TechBag scopes it free.
Deploy & label
Deploy classification, define your sensitivity labels and rules, and start automatically (and user-assisted) classifying data across Office, email and file systems — consistently.
Drive protection
Connect labels to action — drive DLP, and (distinctively) auto-protect confidential data with Seclore EDRM — so classification results in real, sensitivity-appropriate protection.
Govern & complete ARMOR
Use classification for DPDP evidence, extend across the organisation, and complete the ARMOR strategy (DSPM, AI-DLP). 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“The point that made Seclore stand out: classification actually drives protection. A file labelled confidential gets automatically wrapped in EDRM controls. Not just a tag — real security.”
“We'd tried manual classification and it failed — inconsistent, forgotten, ignored. Automated classification gave us the consistent, reliable labels our DLP and protection depend on.”
“For DPDP, we needed to systematically identify and label our personal and sensitive data. Classification gave us that foundation — and being India-origin and DPDP-aware helped.”
“Classification as the foundation of the whole ARMOR strategy made sense — discover (DSPM), label (this), protect (EDRM), control at AI (AI-DLP). Integrated, not disconnected.”
“We compared Purview but weren't all-Microsoft and wanted classification tied to follow-the-data protection. Seclore's integration won.”
“The user-assisted classification built a data-aware culture — prompting people where their judgement matters, automating the rest. Good balance.”
“Visual markings plus metadata mattered — users see the sensitivity, and our security systems read it and act. Both audiences served.”
“It's the base layer of our data security — everything else relies on it. Getting classification consistent and connected to protection was the key. TechBag scoped the strategy.”
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 data-classification 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.
Classification that drives protection, India-origin. 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.
Drives EDRM protection; part of ARMOR.
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.
Seclore Classification vs the classification field
Microsoft Purview, Fortra/Titus, Boldon James and manual/no classification — honest lanes; the edge is classification that drives follow-the-data protection, from an India-origin pioneer.
| Dimension | Seclore ARMOR Classification | Microsoft Purview | Fortra/Titus | Boldon James | Manual classification | No classification |
|---|---|---|---|---|---|---|
| Position | Classification that drives protection; India-origin | Microsoft-native labelling | Classification specialist | Classification specialist | User-dependent | The gap |
| Automated classification | Automated + user-assisted | Auto + manual | Strong | Strong | Manual only | None |
| Consistency at scale | Organisation-wide | Strong in MS estate | Strong | Strong | Inconsistent | N/A |
| Labels drive protection (EDRM) | Auto-wraps in follow-data EDRM | Drives MS protection | Drives DLP; via partners for DRM | Drives DLP | Drives nothing reliably | N/A |
| Visual markings + metadata | Both | Both | Both | Both | If users add | None |
| Non-Microsoft coverage | Broad, neutral | Best in Microsoft | Broad | Broad | Any (if done) | N/A |
| Part of a data-security platform | ARMOR (DSPM+EDRM+AI-DLP) | Purview suite | Fortra portfolio | Classification-focused | None | None |
| India origin & DPDP fit | Mumbai-HQ, DPDP-aware, sovereign | Global, MS-cloud | US-origin | UK-origin (Fortra) | N/A | N/A |
| Best fit | Classification that drives follow-the-data protection; India-origin | All-Microsoft estates wanting bundled labelling | Dedicated classification specialist | Dedicated classification specialist | Nobody — it doesn't scale | Nobody — sensitivity must be known |
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 Seclore Classification if…
- ✓You want classification that drives real protection (EDRM), not just tags
- ✓You want it as the foundation of an integrated data-security strategy
- ✓You need consistent, automated classification (not failed manual)
- ✓You value an India-origin, DPDP-aware platform
Microsoft Purview if…
- ✓You're all-Microsoft and want bundled sensitivity labelling
Fortra/Titus or Boldon James if…
- ✓You want a dedicated classification specialist
Manual classification if…
- ✓Never — it's inconsistent and fails at scale
No classification if…
- ✓Never — you can't protect data whose sensitivity you don't know
What do email threats cost you?
Drag the sliders (count users; IT-hour cost as loaded rate). Estimates assume time saved and accuracy gained once classification is automated and consistent (making DLP and protection work) — but the far larger, unpriced win is the avoided breach and DPDP penalty (you can't protect or govern data whose sensitivity you don't know). Illustrative.
Loaded cost = salary + overheads per productive hour. Illustrative only — your TechBag quote models actual device counts and modules.
Three ways to consume it
Seclore ARMOR Data Classification is quote-priced (no public list) — by users, scope, and (typically) as the foundation of the wider ARMOR platform (EDRM, DSPM, AI-DLP), where its labels drive protection. Standalone labelling is commoditised — the value is what it drives. TechBag right-sizes it and quotes in INR/GST — Seclore is India-origin.
ARMOR Data Classification
Best as the data-security foundation
- Auto-label by sensitivity, consistently at scale
- Visual markings + metadata
- Labels drive DLP, EDRM protection, compliance
+ Platform add-ons
Best for a broader rollout
- Scoped to your estate
- Add-on modules as needed
- Phased, right-sized deployment
+ The ARMOR platform
Best for label-to-protect
- Add DSPM (discover), EDRM (protect), AI-DLP
- Classification drives automatic protection
- 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.
Define your sensitivity levels (public, internal, confidential, restricted) and what handling each requires.
Assess where classification is weak today — inconsistent, manual, forgotten, unclassified data.
Confirm automated classification (not user-dependent) for consistency and coverage at scale.
Decide what classification drives — DLP, and (key for Seclore) auto-protection via EDRM, access, handling.
Confirm the classification-to-protection flow — confidential data automatically wrapped in follow-the-data controls.
Confirm coverage across your tools (Office, email, file systems) and non-Microsoft environments.
Map to DPDP — systematically identifying and governing personal/sensitive data starts with classification.
Consider classification as the foundation of the ARMOR strategy (DSPM, EDRM, AI-DLP); size and quote in INR/GST — TechBag scopes it.
Questions buyers ask
Ready to build the classification foundation?
Scope automated data classification (label your data by sensitivity, consistently at scale), connect labels to real protection, or let a TechBag advisor plan your data-security strategy.
Stats, ratings, review counts and pricing are illustrative and sourced from public materials; verify before purchase.