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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This page covers ARMOR Data Classification — the labelling foundation. The rest of the Seclore ARMOR platform:
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
Automated sensitivity labelling — identify and tag data as public, internal, confidential or restricted, so its sensitivity is known and consistent.
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.
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
Analyse documents, files and emails by content, context and policy to determine sensitivity, rather than guesswork or user whim.
Apply clear sensitivity labels (public, internal, confidential, restricted), so required handling is explicit and consistent.
Classify automatically at scale so it happens consistently, and assist or prompt users where their judgement adds value.
Labels tell DLP what to watch and EDRM what to protect, and feed Seclore’s persistent protection so ‘confidential’ data is protected automatically.
Consistent classification evidences that you identify and govern sensitive data, supporting DPDP and GDPR compliance.
A unified map of where sensitive data is stored and who uses it — risk tackled at the data itself, not the perimeter.
Data Classification labels your data by sensitivity — consistently, at scale — and drives real protection: the labelling foundation of the Seclore portfolio.
Automatically classify data by content, context and policy, without relying on every user to classify correctly.
Recognise personal data, financials, IP and regulated information in content and context, so labels reflect what data really is.
Prompt or assist users where their judgement adds context automation can’t, building a data-aware culture.
Apply consistent labels (public, internal, confidential, restricted, customisable), so handling requirements are explicit.
Labels appear as visual markings (headers, footers, watermarks) and metadata that DLP and EDRM can read and act on.
The same rules apply across the organisation, so sensitivity means the same thing everywhere and labels are trustworthy.
Labels tell DLP what to watch, so policies act on ‘confidential’ or ‘restricted’ data precisely, beyond pattern-matching.
Labels feed Seclore’s persistent protection: a ‘confidential’ file can be wrapped automatically in follow-the-data EDRM controls.
Labels guide access and handling (can it be emailed externally, printed, shared?) for both controls and users.
Consistent classification evidences that you govern sensitive data, supporting DPDP, GDPR and sector mandates.
Integrates with Office, email, file systems and collaboration tools, and with DLP, CASB and EDRM.
The labelling foundation of Seclore ARMOR: it labels what DSPM discovers, so EDRM protects it and AI-DLP controls it.
The overview, getting started, and the core workflows.
Why classification underpins protection.
The ARMOR data-security platform.
Want a live, India-context walkthrough for your environment?
Book a guided demo →Here’s what genuinely sets Seclore ARMOR Data Classification apart.
You can’t protect data well without knowing how sensitive each piece is; otherwise tools over-protect everything or under-protect. Seclore Data Classification labels data by sensitivity, so DLP, EDRM and access controls act on what is truly sensitive, and it classifies automatically, because manual labelling doesn’t scale.
Users forget to classify, label inconsistently and leave data unclassified, and DLP and protection inherit that unreliability. Seclore classifies automatically by content, context and policy, so coverage and consistency don’t depend on each user, and it prompts users only where their judgement adds context.
Many classification tools apply a label that nothing then acts on. In Seclore, labels drive protection directly: a file classified ‘confidential’ can be wrapped automatically in EDRM controls that travel with it, while labels also steer DLP and access, so classification becomes protection, not tagging.
India’s DPDP Act, GDPR and sector mandates expect you to know your personal and sensitive data and handle it accordingly. Seclore labels that data automatically, the labels drive DLP, EDRM and access, and consistent classification is evidence for auditors. Seclore is India-origin and DPDP-aware.
In the ARMOR platform, DSPM finds sensitive data, Data Classification labels it, EDRM protects it persistently and AI-DLP controls it at the AI layer, so labels drive protection. Seclore is headquartered in Mumbai, with IIT-Bombay roots and 15+ years of data-centric expertise.
Seclore Data Classification labels data by sensitivity automatically, with visual markings and metadata, and its labels drive EDRM protection. Classification is a mature, somewhat commoditised space: Purview suits Microsoft shops, and Fortra’s suites (formerly Titus and Boldon James) are specialists. It is rarely bought standalone.
Define your sensitivity scheme, where classification is weakest, and what labels should drive. TechBag scopes it free.
Deploy classification, define labels and rules, and classify data automatically across Office, email and file systems.
Connect labels to action: drive DLP and auto-protect confidential data with Seclore EDRM.
Use classification for DPDP evidence and complete the ARMOR strategy (DSPM, AI-DLP). TechBag models it in INR/GST.
Modelled on Gartner Peer Insights structure. *Counts and breakdowns are illustrative pending verified review collection.
“Classification actually drives protection: a file labelled confidential is wrapped in EDRM controls automatically.”
“Manual classification failed us, being inconsistent and ignored. Automation gave our DLP and protection reliable labels.”
“For DPDP we needed to identify and label personal and sensitive data systematically, and an India-origin, DPDP-aware vendor helped.”
“Discover with DSPM, label with this, protect with EDRM, control AI with AI-DLP: an integrated ARMOR strategy.”
“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.”
“Everything in our data security relies on it, so making classification consistent and tied to protection was key.”
Analyst firms bury this view behind paywalls, and review-site grids score satisfaction, not fit for your estate. So here’s TechBag’s synthesis of the data-classification market — tap any vendor to see why it sits where it does.
Execution strength vs product vision — the classic market map, minus the paywall.
Classification that drives protection, India-origin. This page's product.
The grid nobody publishes — data-security platform breadth vs classification depth.
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.
Microsoft Purview, Fortra DCS (ex-Titus), Fortra Classifier (ex-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 DCS (ex-Titus) | Fortra Classifier (ex-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 | Now in Fortra’s portfolio | None | None |
| India origin & DPDP fit | Mumbai-HQ, DPDP-aware, sovereign | Global, MS-cloud | US vendor (Fortra) | UK-built, Fortra-owned | 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 |
Honest fit signals — because the fastest way to lose your trust is to pretend one product wins every scenario.
Seclore ARMOR Data Classification is one of 22 encryption & rights management products TechBag carries. The Encryption & Rights Management guide narrows them to a shortlist and shows the reasoning. →
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 your actual environment and modules.
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.
Best as the data-security foundation
Best for a broader rollout
Best for label-to-protect
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 requirements and current tools — we’ll model it against what you spend today.
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.
Will classification be the foundation of an ARMOR strategy with DSPM, EDRM and AI-DLP, and what does it cost?
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.