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.
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This page covers Data Command Center — the foundation. The rest of the Securiti platform:
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
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.
What consolidation actually replaces, dimension by dimension.
| Dimension | Unprotected / signature email | Data Command Center (Postman) |
|---|---|---|
| Data visibility | Unknown sprawl, blind spots | Discovery across the whole estate |
| Classification | Brittle keyword rules | Sensitive Data Intelligence (accurate) |
| Unstructured data | Mostly ignored | Structured AND unstructured covered |
| Shadow data | Invisible | Shadow & dark data discovered |
| The map | Static, siloed inventories | One DataAI Command Graph |
| Data to people | Not linked | People Data Graph (identities) |
| Downstream | Each tool rebuilds its view | One 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.
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
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.
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.
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.
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.
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.
Securiti discovers, classifies and maps all your sensitive data — the know-it-all graph & foundation of portfolio, and paired with the human firewall.
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.
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.
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 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.
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.
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.
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.
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 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.
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 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.
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.
The overview, getting started, and protecting M365 email.
Automated data mapping, done right.
The Data + AI Command Center.
Discovery powers data security posture.
Want a live, India-context walkthrough on your own fleet?
Book a guided demo →Here’s what genuinely sets Securiti apart (and where a point tool leads).
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.
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.
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.
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.
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.
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.
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.
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.
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.
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
Modelled on Gartner Peer Insights structure. *Counts and breakdowns are illustrative pending verified review collection.
“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.”
“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.”
“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.”
“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.”
“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.”
“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.”
“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.”
“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.”
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.
Execution strength vs product vision — the classic market map, minus the paywall.
Discovery + one graph (data + AI + privacy + DSPM). This page.
The grid nobody publishes — how strong the email detection is vs how integrated with the wider security portfolio.
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.
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.
| Dimension | Securiti | BigID | Collibra | Microsoft Purview | Informatica | IBM Guardium |
|---|---|---|---|---|---|---|
| Position | Discovery + one graph (data + AI + privacy + DSPM) | Data discovery & intelligence (direct rival) | Data catalog & governance | Microsoft-native governance | Data management & catalog | Database security & monitoring |
| Sensitive data discovery | Deep — multicloud, SaaS, on-prem | Strong data discovery | Some (catalog-driven) | Good in Microsoft estate | Some discovery | Database-focused |
| Structured + unstructured | Both, at petabyte scale | Both (strength) | Mostly structured/catalog | Both within MS | Mostly structured | Structured / DB |
| One graph (data + AI + privacy + DSPM) | Yes — the DataAI Command Graph | Data intelligence graph | Catalog + lineage | MS Purview graph (MS-scoped) | Catalog + lineage | Not a data graph |
| People Data Graph (data to identity) | Yes — distinctive for privacy | Some identity linking | Catalog, not identity | Limited | Catalog, not identity | Not identity-centric |
| Privacy / DPDP data mapping | Deep (People Data Graph + regulatory intel) | Some privacy | Governance-led | Some within MS | Governance-led | Not privacy |
| Vendor backing / longevity | Now part of Veeam | Established (well-funded) | Established | Microsoft | Established | IBM |
| Best fit | One discovery foundation for data + AI + privacy + DSPM | Focused data discovery & intelligence | Data catalog & governance | Microsoft-native shops | Data management & catalog | Database activity monitoring |
Honest fit signals — because the fastest way to lose your trust is to pretend one product wins every scenario.
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.
Loaded cost = salary + overheads per productive hour. Illustrative only — your TechBag quote models actual device counts and modules.
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.
Best for a discovery + graph foundation
Best for a broader rollout
Best value with TechBag
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 device counts and current tools — we’ll model it against what you spend today.
Take this into your next vendor call — including ours.
Know where your sensitive data lives? Discovery finds it across multicloud, SaaS and on-prem — structured and unstructured.
Classifying accurately? Sensitive Data Intelligence uses AI and context, not brittle keyword rules — fewer false positives.
Worried about the unknown? Discovery surfaces shadow and dark data you didn't know you had.
Want one foundation? The DataAI Command Graph powers privacy, DSPM, AI governance and data governance off ONE discovery.
Doing privacy / DPDP rights? The People Data Graph links data to individual identities — the differentiator.
Reasoning about residency / transfers? Flow & lineage mapping helps (and DPDP is NOT blanket localisation).
Weighing BigID, Collibra, Purview or Informatica? TechBag compares honestly — Securiti's edge is one-foundation breadth + the People Data Graph.
Securiti is DPDP-ready with Bangalore R&D, now Veeam-backed — TechBag adds scoping, INR/GST and the DPDP framing.
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.