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Category: Data Discovery, Classification & Mapping (Data Command Center)by SecuritiTechBag Intel Page

Data Command Center

Secure the front door. Email is where most attacks arrive — Data Command Center is Securiti’s foundation — automated discovery, classification & mapping of sensitive data across multicloud, SaaS and on-prem (structured & unstructured, petabyte scale), building the DataAI Command Graph the whole platform runs off. Now part of Veeam.

Discover — structured & unstructuredClassify — Sensitive Data IntelligenceMap — the DataAI Command Graph

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How it’s rated

Full scoreboard ↓
The category
the foundation
Data discovery
The foundation
data + AI
One graph
Distinctive
data to identity
People Data Graph
Now part of
acquired 2025
Veeam

Quick answer

Data Command Center is Securiti's foundation — automated DISCOVERY, CLASSIFICATION and MAPPING of sensitive and regulated data across your entire estate: multicloud, SaaS, on-prem, structured AND unstructured, at petabyte scale. What it does: it scans your data everywhere, finds sensitive and regulated data (PII, PHI, PCI, secrets, IP), classifies it accurately, and MAPS it — building the DataAI Command Graph, the 'know-it-all' knowledge graph of what data you have, where it lives, how it flows and who it relates to. Two distinctive pieces sit here: Sensitive Data Intelligence (deep, accurate classification of sensitive data across structured and unstructured sources) and the People Data Graph, which links data back to the individual identities it belongs to — a differentiator for privacy (fulfilling data-subject/DPDP rights, minimisation) that catalog-led tools struggle with. Why it's the foundation: you cannot secure, govern or safely AI-enable data you cannot SEE — so discovery + the graph is what every other Securiti module (privacy, DSPM data security, AI governance, data governance) runs off. One discovery, one graph, everything downstream. IMPORTANT: Securiti is now part of Veeam — Veeam acquired Securiti in a deal that closed in December 2025 (~$1.725 billion) to build a trusted data platform for safe AI at scale; Securiti still ships and is actively developed under its own brand (founder Rehan Jalil is now Veeam's President of Security & AI). Honest scope: data discovery/intelligence is competitive — BigID is a strong rival, and Collibra, Informatica and Microsoft Purview come at it from catalog/governance; Securiti's edge is that one discovery graph unifies data + AI + privacy + DSPM on ONE foundation (breadth), plus the People Data Graph. Securiti has real Bangalore R&D, and for India the DPDP Act is a major hook (note: DPDP is NOT blanket localisation — it uses a negative-list model for cross-border transfers). From Securiti (a Veeam company) — see all your sensitive data, mapped on one graph. TechBag scopes it and supports it in INR/GST for Indian enterprises. Read more ↓ Show less ↑
Part 01 · Orient

The Postman platform family

This page covers Data Command Center — the foundation. The rest of the Securiti platform:

Quick facts

30-second orientation
Product
Data Command Center — discovery, classification, mapping
Vendor
Securiti (a Veeam company — acquired Dec 2025)
The category
Sensitive data discovery & intelligence
What it does
Find, classify & map sensitive data everywhere
Scale
Multicloud, SaaS, on-prem · structured & unstructured · petabyte
The foundation
DataAI Command Graph — the know-it-all graph
Distinctive
People Data Graph — data linked to identities
Powers
Privacy · DSPM · AI governance · data governance
Vs
BigID, Collibra, Microsoft Purview, Informatica
In India via
TechBag — scoping, licensing, GST, DPDP framing
Part 02 · Learn

Understand data discovery before you buy it

Most product pages skip this. We start here — so you buy a capability, not a buzzword.

What is Data Command Center?

Securiti’s foundation — automated discovery, classification and mapping of sensitive data across multicloud, SaaS and on-prem (structured and unstructured, petabyte scale), building the DataAI Command Graph the whole platform runs off.

Blind data sprawl vs discovered, classified & mapped (Securiti) — the honest table

What consolidation actually replaces, dimension by dimension.

DimensionUnprotected / signature emailData Command Center (Postman)
Data visibilityUnknown sprawl, blind spotsDiscovery across the whole estate
ClassificationBrittle keyword rulesSensitive Data Intelligence (accurate)
Unstructured dataMostly ignoredStructured AND unstructured covered
Shadow dataInvisibleShadow & dark data discovered
The mapStatic, siloed inventoriesOne DataAI Command Graph
Data to peopleNot linkedPeople Data Graph (identities)
DownstreamEach tool rebuilds its viewOne foundation powers all modules
Best fit(varies)See, classify & map all sensitive data

Securiti Data Command Center discovers, classifies and maps your sensitive data across multicloud, SaaS and on-prem — structured and unstructured, at petabyte scale — building the DataAI Command Graph and the People Data Graph (data linked to identities) that powers privacy, DSPM and AI governance. Now part of Veeam. Honest: competitive field — focused discovery alone? BigID. Catalog/governance? Collibra/Informatica. Microsoft-native? Purview. TechBag scopes the start, adds GST & the India DPDP framing.

Under the hood

The five pieces of the platform

Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.

01
The reach

Connect Everywhere

Multicloud, SaaS, on-prem

Connect to data across clouds, SaaS apps, on-prem systems, files and databases — structured AND unstructured — through a rich connector library, at petabyte scale. You can't map what you can't reach. Reach every data source you have.

02
The find

Discover Sensitive Data

Scan and find at scale

Scan your data everywhere and DISCOVER sensitive and regulated data — PII, PHI, PCI, secrets and IP — including shadow and dark data you didn't know you had. Find what's actually there. See all your sensitive data.

03
The label

Classify Accurately

Sensitive Data Intelligence

Classify discovered data accurately with Sensitive Data Intelligence — across structured and unstructured sources — so every element carries the right sensitivity and regulatory label. Accurate labels, not guesses. Classification you can act on.

04
The map

Map to the Graph

The DataAI Command Graph

MAP the classified data, its relationships, its flows and — via the People Data Graph — the individuals it belongs to, building the DataAI Command Graph: the know-it-all knowledge graph of your data. One graph of everything. Context, mapped.

05
The edge

Power Everything Downstream

Privacy, DSPM, AI, governance

Because the graph is one foundation, every downstream module — privacy, DSPM data security, AI governance, data governance — runs off the SAME discovery. Discover once, use everywhere. One foundation for the whole platform.

One agent on every machine, one console over all of them — modules attach without a second operational world.

Part 03 · Evaluate

Twelve capabilities. Discover, classify, map.

Securiti discovers, classifies and maps all your sensitive data — the know-it-all graph & foundation of portfolio, and paired with the human firewall.

Discover
Connectors

Rich Data Connector Library

Connect to data across clouds, SaaS, on-prem, files and databases — structured and unstructured — so discovery reaches your whole estate. Reach every source. Nothing left in the dark.

Discover
Petabyte scale

Discovery at Petabyte Scale

Scan and discover sensitive data across a petabyte-scale, multicloud, hybrid estate — without choking. Built for the size real enterprises are. Scale is not an excuse to stay blind.

Discover
Shadow data

Shadow & Dark Data Discovery

Surface shadow and dark data — the sensitive data in forgotten stores, copies and unmanaged systems you didn't know existed. You can't protect what you don't know you have. Find the unknown.

Discover
Structured + unstructured

Structured & Unstructured Coverage

Discover across BOTH structured (databases, warehouses) and unstructured (files, docs, tickets, chat) data — where most sensitive data actually hides. Cover the hard half too. Unstructured is where the risk is.

Classify
Sensitive Data Intelligence

Sensitive Data Intelligence

Accurately classify sensitive and regulated data — PII, PHI, PCI, secrets, IP — with deep intelligence, not brittle keyword rules, across every source. Accuracy is the whole game. Classify what matters, correctly.

Classify
Regulatory labels

Regulatory Classification

Tag data against the regulations that apply — DPDP, GDPR, HIPAA, PCI DSS and more — so classification is compliance-aware, not generic. Labels that map to the law. Know what rules each element carries.

Classify
AI-assisted

AI-Assisted Classification

Use AI and context — not just pattern-matching — to classify accurately and cut false positives, so downstream policy acts on trustworthy labels. Fewer false positives. Classification you can trust.

Classify
Catalog

Sensitive Data Catalog

Every discovered, classified element lands in a living catalog — searchable, up to date — so teams can find and reason about sensitive data instead of hunting. A catalog that stays current. Answers, not spreadsheets.

Map
The graph

DataAI Command Graph

Map classified data, its relationships and its flows into ONE knowledge graph — the know-it-all foundation the whole platform runs off. One graph for everything. Context is the product.

Map
People Data Graph

People Data Graph

Link sensitive data back to the individual IDENTITIES it belongs to — the distinctive piece for privacy: fulfil data-subject / DPDP rights, minimisation and residency with confidence. Data, tied to people. The privacy differentiator.

Map
Data flows & lineage

Data Flow & Lineage Mapping

Map how sensitive data FLOWS — across systems, borders and third parties — so you can reason about residency, transfers and cross-border rules (a DPDP nuance). See where data goes. Flows you can govern.

Map
One foundation

One Foundation for Everything

Because discovery + the graph is one foundation, privacy, DSPM, AI governance and data governance all run off the SAME map — the breadth few rivals match. Discover once, use everywhere. One graph, whole platform.

See it, don’t just read it

Watch Securiti in action

The overview, getting started, and protecting M365 email.

Securiti AI (official)·Data mapping

Data Mapping Automation for Privacy Compliance & Data Governance

Automated data mapping, done right.

Securiti AI (official)·Overview

AI-Powered Data Intelligence for Privacy & Security

The Data + AI Command Center.

Securiti AI (official)·DSPM

Top 6 DSPM Use Cases to Protect Data in the AI Era

Discovery powers data security posture.

Want a live, India-context walkthrough on your own fleet?

Book a guided demo →
Why Data Command Center

The endpoint catches what arrives. Email stops it arriving.

Here’s what genuinely sets Securiti apart (and where a point tool leads).

01

See all your sensitive data — discovery + classification across the whole estate

The single biggest reason organisations start with Data Command Center is that it gives them what they've never truly had: a complete, accurate picture of WHERE their sensitive and regulated data actually lives — discovered and classified across multicloud, SaaS, on-prem, structured AND unstructured, at petabyte scale. The problem it solves: enterprise data is sprawled everywhere — dozens of clouds and SaaS apps, warehouses, file shares, tickets, chat — and most of the sensitive data (PII, PHI, PCI, secrets, IP) hides in unstructured stores and shadow/dark data nobody catalogued. You cannot secure, govern, satisfy a regulator or safely AI-enable data you cannot SEE. What Data Command Center provides: automated discovery that reaches the whole estate through a rich connector library, then Sensitive Data Intelligence that classifies accurately — with AI and context, not brittle keyword rules — across both structured and unstructured sources, surfacing even shadow and dark data. Why it matters: visibility is the prerequisite for everything else — privacy, data security (DSPM), AI governance and data governance all depend on knowing what data you have and where. Getting discovery and classification right, at scale and accurately, is the foundation the rest of your data programme stands on. For any enterprise (Indian banks, insurers and IT-services firms very much included) racing on privacy and AI, this is the core value. The value: Data Command Center discovers and classifies your sensitive data across the whole estate — structured and unstructured, at petabyte scale — so you finally SEE what you have. For everything downstream, this matters. TechBag helps organisations get discovery right. TechBag helps you see all your sensitive data.

02

The DataAI Command Graph — the know-it-all foundation the whole platform runs off

A defining strength of Securiti is that discovery doesn't just produce a report — it builds ONE knowledge graph, the DataAI Command Graph, that maps your data, its relationships and its flows, and is the foundation every other module runs off. The problem it solves: most tools treat discovery as a one-off scan feeding a static inventory, so privacy, security, AI and governance each rebuild their own partial view — duplicated effort, inconsistent context, gaps between silos. What Securiti provides: a living graph that maps sensitive data, its relationships, its lineage and — via the People Data Graph — the individuals it belongs to. Because it's ONE graph, privacy, DSPM data security, AI governance and data governance all draw on the SAME context: discover once, use everywhere. Why it matters: context that lives in one place is more complete and less gap-prone than context stitched across separate tools — and it's what makes a consolidation play possible (privacy + DSPM + AI + governance on one foundation, instead of stitching point tools). The graph is the reason Securiti's breadth is coherent rather than a bundle. The value: Securiti's DataAI Command Graph is a know-it-all foundation — one map of your data that every module runs off, so context is consistent and nothing is rebuilt in silos. For unified data governance, this matters. TechBag helps organisations build on the graph. TechBag helps you make one map serve the whole platform.

03

The People Data Graph — data linked to identities, the privacy differentiator

A distinctive strength of Securiti — one catalog-led rivals struggle to match — is the People Data Graph: it links discovered sensitive data back to the individual IDENTITIES it belongs to. The problem it solves: privacy law is about PEOPLE, not just data. To fulfil a data-subject request (or a DPDP data-principal right), honour consent, minimise data or reason about residency, you must answer 'whose data is this, and everywhere it lives?' — a question a plain data catalog can't answer, because it maps data, not people. What Securiti provides: a graph that connects data to the individuals it relates to, so you can find ALL of a person's data across systems, fulfil rights requests accurately and at scale, honour consent and minimisation, and reason about residency and cross-border flows. Why it matters: this is exactly what makes Securiti strong for privacy — and directly relevant to India's DPDP Act, where data-principal rights and correct data mapping are central. It turns discovery from an inventory into a privacy engine. (Nuance worth knowing: DPDP is NOT blanket data localisation — it uses a negative-list model for cross-border transfers; the People Data Graph plus flow mapping helps you reason about what actually applies.) The value: Securiti's People Data Graph links data to the individuals it belongs to — so you fulfil data-subject / DPDP rights, consent and minimisation accurately, which catalog-led tools struggle with. For privacy, this matters. TechBag helps organisations use the People Data Graph. TechBag helps you tie data to people, for privacy.

04

Now part of Veeam — backed for the long run, still shipping fast

Securiti is now part of Veeam — Veeam (the data-resilience/backup leader) acquired Securiti in a deal that closed in December 2025 (~$1.725 billion), to build what it calls a trusted data platform for safe AI at scale — which means Securiti is backed by a major, established company while still shipping and innovating fast under its own brand. What happened: Veeam announced the acquisition in October 2025 and closed it in December 2025 (~$1.725B). The strategic logic: Veeam protects and manages enterprise data (backup, resilience) at massive scale; Securiti discovers, governs and secures data + AI — and knowing WHERE your sensitive data is (discovery + the graph) is the natural foundation for protecting it. Together they position this as 'the industry's first trusted data platform for accelerating safe AI at scale'. Securiti's founder/CEO Rehan Jalil became Veeam's President of Security & AI, and the Securiti product continues under its own brand — actively developed. Why it matters for a buyer: (1) longevity and backing — Securiti is no longer a standalone startup but part of a major, well-resourced company, reducing vendor risk; (2) continued innovation — the product ships fast; (3) a bigger data-platform vision — discovery-led governance tied to enterprise data resilience. (Honest note: post-acquisition integrations evolve — confirm current product/brand treatment and roadmap for your deployment; TechBag tracks it.) The value: Securiti is now part of Veeam — backed by a major data company for the long run, while still shipping fast under its own brand. For a durable, well-backed discovery foundation, this matters. TechBag helps organisations adopt Securiti (a Veeam company). TechBag provides it with local support.

05

India-relevant — DPDP-ready, real Bangalore R&D, and TechBag adds the local layer

Securiti is highly relevant for Indian enterprises — its discovery, classification and data mapping map directly to India's DPDP Act, it has real Bangalore R&D, and TechBag adds the local scoping, licensing and INR/GST support that make it work for Indian buyers. The India fit: India's Digital Personal Data Protection (DPDP) Act is now a major compliance driver, and discovery + the People Data Graph are exactly what DPDP needs — accurate data mapping, data-principal rights (India's DSR equivalent, answered by linking data to identities), consent and breach handling — alongside global regimes (GDPR, HIPAA, PCI). (Nuance worth knowing: DPDP does NOT mandate blanket data localisation — it uses a negative-list model for cross-border transfers; Securiti's flow mapping helps you reason about what actually applies rather than over-localising.) Real India presence: Securiti has genuine engineering/product R&D in Bangalore — a credibility point for Indian buyers (and now with Veeam's backing). Where TechBag adds value: Securiti is a broad, enterprise, quote-priced platform (in USD) — so TechBag adds local scoping (start with discovery + the graph, then which modules), the India compliance framing (especially DPDP data mapping + data-principal rights), INR/GST invoicing, and local support. The value: Securiti is DPDP-ready with real Bangalore R&D — and TechBag adds local scoping, the DPDP data-mapping framing, INR/GST and support. TechBag supplies it with local, compliance-aware support. TechBag provides Securiti, made local for India.

06

The honest scope

Data Command Center is Securiti's foundation — automated discovery, classification and mapping of sensitive/regulated data across multicloud, SaaS, on-prem, structured and unstructured, at petabyte scale — building the DataAI Command Graph (with Sensitive Data Intelligence and the People Data Graph) that every other module runs off. Securiti is now a Veeam company (acquired ~$1.725B, closed Dec 2025). The honest framing — strengths, and the competitive field: Securiti's strengths are one discovery graph unifying data + AI + privacy + DSPM (breadth-on-one-foundation), accurate Sensitive Data Intelligence across structured AND unstructured, the distinctive People Data Graph, and now Veeam's backing. But data discovery/intelligence is competitive, and rivals attack from several angles: BigID is a strong, direct rival in data discovery and intelligence (deep in its lane); Collibra and Informatica lead from the CATALOG / data-governance angle (strong governance and lineage, less privacy/identity-centric); Microsoft Purview is the Microsoft-native option (excellent if you're all-in on Microsoft, though breadth beyond that varies). So a best-of-breed point tool may match or out-feature Securiti on any single dimension — Securiti's bet is that ONE discovery foundation feeding privacy, DSPM, AI governance and data governance together (plus the People Data Graph) is more complete than stitching point tools (a consolidation play). Honest notes: it's a broad, module-heavy platform with a learning curve; classification accuracy in any tool needs tuning for your data; pricing is quote-only (USD); and the Veeam integration is still evolving (confirm current brand/roadmap). So the honest positioning: for a single discovery + graph foundation that powers privacy, DSPM and AI governance together — as a consolidation play, now Veeam-backed, with the People Data Graph for privacy — Securiti is a leading choice; for pure catalog/governance weigh Collibra/Informatica; if you're Microsoft-native, weigh Purview; and BigID is a strong direct discovery rival. TechBag scopes Securiti honestly — the right starting point and modules, comparing vs the point tools, with the India DPDP data-mapping framing and GST invoicing.

See everything
Discover structured & unstructured
One graph
Foundation for the whole platform
Local via TechBag
Scoping, GST, DPDP framing
Proof, not promises

The numbers behind the platform

0 discovery foundation
discover → classify → map
Data Command Center
0 DataAI Command Graph
the know-it-all graph
The foundation
0 People Data Graph
data linked to identities
The edge
0+ modules powered
privacy, DSPM, AI, governance
One foundation
0
founded — now a Veeam company
Vendor
~$0M acquisition
Veeam acquired Securiti (Dec 2025)
Backing

What your Securiti journey looks like

Day 0

Scoping (& starting point)

Start with discovery + the graph, then which modules — Privacy, DSPM, AI Governance, Data Governance? — and your compliance goals. TechBag scopes it and frames it against DPDP data mapping.

Phase 1

Connect & discover

Connect your data sources across clouds, SaaS and on-prem, and run discovery + classification (Sensitive Data Intelligence) across structured and unstructured data. See what you actually have first.

Phase 2

Map & build the graph

Map the classified data, its flows and — via the People Data Graph — the identities it belongs to, building the DataAI Command Graph. One map of your data.

OngoingOptimise

Power downstream & expand

Run privacy, DSPM, AI governance and data governance off the SAME discovery, and keep the graph current as data changes. TechBag supports you locally (GST).

Trusted across regulated industries in 100+ countries

Enterprises with data sprawlBFSI (banks, insurance)IT / ITES & GCCsHealthcare & pharmaData & privacy teamsCISOs & CDAOsDPOs & compliance teamsRegulated industriesIndian enterprises (DPDP)Global multinationalsEnterprises with data sprawlBFSI (banks, insurance)IT / ITES & GCCsHealthcare & pharmaData & privacy teamsCISOs & CDAOsDPOs & compliance teamsRegulated industriesIndian enterprises (DPDP)Global multinationals
Verified reviews

The review scoreboard

Modelled on Gartner Peer Insights structure. *Counts and breakdowns are illustrative pending verified review collection.

4.5
420+ reviews*
92% would recommend
Discovery & coverage4.6
Classification accuracy4.4
The graph (one foundation)4.6
Breadth vs point-tool depth4.1
5
61%
4
28%
3
7%
2
2%
1
2%

Quick poll — what’s driving your evaluation?

Talk to an advisor
BFSI
For the first time we actually SEE where our sensitive data lives — across clouds, SaaS and on-prem, structured and unstructured. Discovery surfaced shadow data we had no idea existed. It's the foundation everything else needed.
Chief Data Officer
BFSI
Enterprise
The DataAI Command Graph is the point — our privacy, DSPM and AI governance all run off ONE discovery instead of each rebuilding its own view. Discover once, use everywhere. That consolidation is why we chose Securiti.
Head of Data Governance
Enterprise
Insurance
The People Data Graph is what catalog tools couldn't do — linking data to individual identities let us fulfil data-subject requests accurately and at scale. For privacy, that's the differentiator.
DPO / Privacy Lead
Insurance
Technology
Classification accuracy needed tuning for our data — honest — but once dialled in, Sensitive Data Intelligence across unstructured sources was far better than the keyword rules we'd limped along with.
Data Security Architect
Technology
IT Services
Honest: it's a broad, module-heavy platform, and for pure data discovery we did evaluate BigID. But one graph feeding privacy AND DSPM AND AI governance won — TechBag gave us that honest comparison.
Security Architect
IT Services
Banking / India
For DPDP, accurate data mapping and data-principal rights were the whole ask — discovery plus the People Data Graph delivered both. TechBag framed it around DPDP and handled GST.
Compliance Lead
Banking / India
Enterprise / India
That Securiti has real Bangalore R&D — and is now Veeam-backed — gave us confidence on longevity and local relevance. TechBag scoped the starting point and added local support.
IT Director
Enterprise / India
Enterprise / India
Securiti prices by quote in USD and is broad — TechBag scoped us to start with discovery + the graph, added INR/GST and the DPDP framing. A powerful foundation, made practical for us.
Procurement / Security
Enterprise / India
The market maps

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-discovery & intelligence market — tap any vendor to see why it sits where it does.

Grid 01 · The market

TechBag Email-Security Grid

Execution strength vs product vision — the classic market map, minus the paywall.

ChallengersLeadersSpecialistsVisionaries
SecuritiThis page

Discovery + one graph (data + AI + privacy + DSPM). This page.

Grid 02 · The architecture

Detection × Portfolio Integration

The grid nobody publishes — how strong the email detection is vs how integrated with the wider security portfolio.

Easy but shallowDeep & runnableLegacy toolsDeep but heavy
SecuritiThis page

Breadth-on-one-foundation (data + AI + privacy).

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.

Part 04 · Decide

Securiti vs the data-discovery field

BigID, Collibra, Microsoft Purview, Informatica and IBM Guardium — honest lanes; the edge is ONE discovery graph unifying data + AI + privacy + DSPM (a consolidation play), plus the People Data Graph. Focused discovery alone? BigID. Catalog/governance? Collibra/Informatica. Microsoft-native? Purview. We say so.

DimensionSecuritiBigIDCollibraMicrosoft PurviewInformaticaIBM Guardium
PositionDiscovery + one graph (data + AI + privacy + DSPM)Data discovery & intelligence (direct rival)Data catalog & governanceMicrosoft-native governanceData management & catalogDatabase security & monitoring
Sensitive data discoveryDeep — multicloud, SaaS, on-premStrong data discoverySome (catalog-driven)Good in Microsoft estateSome discoveryDatabase-focused
Structured + unstructuredBoth, at petabyte scaleBoth (strength)Mostly structured/catalogBoth within MSMostly structuredStructured / DB
One graph (data + AI + privacy + DSPM)Yes — the DataAI Command GraphData intelligence graphCatalog + lineageMS Purview graph (MS-scoped)Catalog + lineageNot a data graph
People Data Graph (data to identity)Yes — distinctive for privacySome identity linkingCatalog, not identityLimitedCatalog, not identityNot identity-centric
Privacy / DPDP data mappingDeep (People Data Graph + regulatory intel)Some privacyGovernance-ledSome within MSGovernance-ledNot privacy
Vendor backing / longevityNow part of VeeamEstablished (well-funded)EstablishedMicrosoftEstablishedIBM
Best fitOne discovery foundation for data + AI + privacy + DSPMFocused data discovery & intelligenceData catalog & governanceMicrosoft-native shopsData management & catalogDatabase activity monitoring
Strong Partial / add-on Weak / externalCompiled from public vendor materials and review platforms for orientation; verify before relying on it.

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 Securiti if…

  • You want ONE discovery + graph foundation that powers privacy, DSPM, AI governance and data governance together (a consolidation play)
  • You need accurate Sensitive Data Intelligence across BOTH structured and unstructured data, at petabyte scale
  • You value the People Data Graph — data linked to identities — for privacy and DPDP data-principal rights
  • You value the backing — now part of Veeam — and the India DPDP data-mapping framing (via TechBag)

BigID if…

  • Your single priority is focused, best-of-breed data discovery & intelligence in its own lane

Collibra / Informatica if…

  • Your priority is a data CATALOG and data-governance / lineage programme (governance-led, less identity-centric)

Microsoft Purview if…

  • You're all-in on Microsoft and want the Microsoft-native discovery & governance option

IBM Guardium if…

  • Your priority is database activity monitoring and database security specifically
Do the math

What do email threats cost you?

Drag the sliders (data sources; sensitive-data stores; hour cost as loaded rate). Estimates contrast blind data sprawl (unknown data, manual classification, siloed inventories) vs Securiti (automated discovery, Sensitive Data Intelligence, one graph, People Data Graph) — the wins are faster visibility, accurate classification and one foundation for privacy/DSPM/AI. Illustrative — TechBag scopes your estate.

300
2510,000
800
₹300₹2,000

Loaded cost = salary + overheads per productive hour. Illustrative only — your TechBag quote models actual device counts and modules.

Current annual email-threat cost
₹3,60,000
Estimated annual savings
₹2,52,000
₹12,60,000 over 5 years
Turn this into a real quote →
Pricing & plans

Three ways to consume it

Securiti is priced by QUOTE (annual, modular — scales with data volume, estate size and modules; enterprise license agreements), in USD; no public list. Now a Veeam company. TechBag scopes you to start with the foundation (discovery + the graph), then the modules you actually need (privacy, DSPM, AI governance, data governance), adds INR/GST, and frames it against DPDP data mapping — quote current figures for your estate.

Securiti (modular, by quote)

Best for a discovery + graph foundation

  • Data Command Center — discovery, classification, mapping (Sensitive Data Intelligence)
  • One DataAI Command Graph + People Data Graph — the foundation everything runs off
  • Now part of Veeam; powers privacy, DSPM, AI governance & data governance

+ Platform add-ons

Best for a broader rollout

  • Scoped to your estate
  • Add-on modules as needed
  • Phased, right-sized deployment

+ scoping & DPDP framing

Best value with TechBag

  • Start-here scoping + honest BigID/Collibra/Purview/Informatica comparison
  • Securiti prices by quote in USD; broad platform — start with discovery
  • TechBag adds INR/GST, local support & the India DPDP data-mapping framing

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 a discounted quote →

Get an India-ready quote

Tell us your device counts and current tools — we’ll model it against what you spend today.

Get Quote
Evaluation kit

The 8 questions to ask every vendor

Take this into your next vendor call — including ours.

1
Data visibility

Know where your sensitive data lives? Discovery finds it across multicloud, SaaS and on-prem — structured and unstructured.

2
Classification

Classifying accurately? Sensitive Data Intelligence uses AI and context, not brittle keyword rules — fewer false positives.

3
Shadow data

Worried about the unknown? Discovery surfaces shadow and dark data you didn't know you had.

4
The graph

Want one foundation? The DataAI Command Graph powers privacy, DSPM, AI governance and data governance off ONE discovery.

5
Data to people

Doing privacy / DPDP rights? The People Data Graph links data to individual identities — the differentiator.

6
Data flows

Reasoning about residency / transfers? Flow & lineage mapping helps (and DPDP is NOT blanket localisation).

7
Vs point tools

Weighing BigID, Collibra, Purview or Informatica? TechBag compares honestly — Securiti's edge is one-foundation breadth + the People Data Graph.

8
India & Veeam

Securiti is DPDP-ready with Bangalore R&D, now Veeam-backed — TechBag adds scoping, INR/GST and the DPDP framing.

FAQ

Questions buyers ask

Data Command Center is Securiti's foundation — automated DISCOVERY, CLASSIFICATION and MAPPING of sensitive and regulated data across your entire estate: multicloud, SaaS, on-prem, structured AND unstructured, at petabyte scale. It scans your data everywhere, finds sensitive and regulated data (PII, PHI, PCI, secrets, IP) including shadow and dark data, classifies it accurately with Sensitive Data Intelligence, and MAPS it — building the DataAI Command Graph, the 'know-it-all' knowledge graph of what data you have, where it lives, how it flows and who it relates to. Two distinctive pieces sit here: Sensitive Data Intelligence (deep, accurate classification across structured and unstructured) and the People Data Graph, which links data back to the individual identities it belongs to — a differentiator for privacy that catalog-led tools struggle with. Why it's the foundation: you cannot secure, govern or safely AI-enable data you cannot SEE — so discovery + the graph is what every other Securiti module (privacy, DSPM data security, AI governance, data governance) runs off. Discover once, use everywhere. (Note: Securiti is now part of Veeam — acquired, closed December 2025, ~$1.725B — and continues under its own brand.) TechBag scopes it, licenses and supports it in INR/GST for Indian enterprises, and frames it against DPDP data mapping and data-principal rights.

Ready to see all your sensitive data?

Scope Securiti Data Command Center (discover, classify and map sensitive data across multicloud, SaaS and on-prem — structured and unstructured — building the DataAI Command Graph and the People Data Graph the whole platform runs off, now Veeam-backed) — and let a TechBag advisor scope the starting point, compare vs BigID/Collibra/Purview/Informatica honestly, frame it against DPDP data mapping, and add INR/GST and local support.

Stats, ratings, review counts and pricing are illustrative and sourced from public materials; verify before purchase.