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 | Blind data sprawl | Data Command Center |
|---|---|---|
| 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.
Scan your data and discover sensitive and regulated data (PII, PHI, PCI, secrets and IP), including shadow and dark data you didn’t know you had.
Sensitive Data Intelligence classifies discovered data across structured and unstructured sources, giving each element the right sensitivity and regulatory label.
Map classified data, its relationships, flows and, via the People Data Graph, the individuals it belongs to, building the DataAI Command Graph.
Privacy, DSPM data security, AI governance and data governance all run off the same discovery and graph, so you discover once and use it everywhere.
A single view of where sensitive data sits and who accesses it — risk controlled at the source rather than at the perimeter.
Securiti discovers, classifies and maps all your sensitive data — the know-it-all graph & foundation of the Securiti portfolio.
Connect to clouds, SaaS, on-prem, files and databases, structured and unstructured, so discovery reaches the whole estate.
Scan and discover sensitive data across a petabyte-scale, multicloud, hybrid estate, sized for real enterprises.
Surface shadow and dark data: sensitive data in forgotten stores, copies and unmanaged systems you didn’t know existed.
Discover across structured (databases, warehouses) and unstructured (files, docs, tickets, chat) data, where most risk hides.
Classify PII, PHI, PCI, secrets and IP with deep intelligence rather than brittle keyword rules, across every source.
Tag data against the regulations that apply, such as DPDP, GDPR, HIPAA and PCI DSS, so classification is compliance-aware.
AI and context, not just pattern-matching, classify accurately and cut false positives, so policy acts on trustworthy labels.
Every classified element lands in a searchable, current catalog, so teams find sensitive data instead of hunting for it.
Map classified data, its relationships and flows into one knowledge graph that the whole platform runs off.
Link sensitive data to the identities it belongs to, so you fulfil data-subject and DPDP rights, minimisation and residency.
Map how sensitive data flows across systems, borders and third parties, to reason about residency and cross-border rules.
Privacy, DSPM, AI governance and data governance all run off the same discovery and graph.
The overview, getting started, and the core workflows.
Automated data mapping, done right.
The Data + AI Command Center.
Discovery powers data security posture.
Want a live, India-context walkthrough for your environment?
Book a guided demo →Here’s what genuinely sets Securiti apart (and where a point tool leads).
Most sensitive data hides in unstructured stores and shadow data nobody catalogued, and you cannot secure or govern data you cannot see. Data Command Center reaches the whole estate through its connectors and classifies PII, PHI, PCI, secrets and IP with AI and context, across structured and unstructured data at petabyte scale.
Discovery in Securiti builds one knowledge graph, the DataAI Command Graph, mapping data, relationships, lineage and, via the People Data Graph, the individuals it belongs to. Privacy, DSPM, AI governance and data governance all draw on that same context instead of rebuilding partial views in silos.
Privacy law is about people. The People Data Graph links sensitive data to the identities it belongs to, so you can find all of a person’s data across systems and fulfil DPDP data-principal rights, consent and minimisation accurately, which catalog-led tools struggle with. DPDP is not blanket localisation.
Veeam acquired Securiti in a deal closed in December 2025 (~$1.725 billion) to build a trusted data platform for safe AI. Founder Rehan Jalil became Veeam’s President of Security & AI, and the product continues under its own brand. Integrations are evolving, so confirm the current roadmap.
Discovery and the People Data Graph map directly to India’s DPDP Act: data mapping, data-principal rights, consent and breach handling, alongside GDPR, HIPAA and PCI. DPDP is not blanket localisation. Securiti has real R&D in Bangalore; it is quote-priced in USD, and TechBag adds INR/GST invoicing.
Data Command Center discovers, classifies and maps sensitive data into the graph every Securiti module runs off. BigID is a strong direct discovery rival, Collibra and Informatica lead on catalog and governance, and Purview suits Microsoft shops. It is broad, with a learning curve, and quote-priced in USD.
Start with discovery and the graph, then pick modules (Privacy, DSPM, AI Governance) and goals. TechBag frames it for DPDP.
Connect sources across clouds, SaaS and on-prem, and run discovery and classification across structured and unstructured data.
Map classified data, its flows and, via the People Data Graph, the identities it belongs to, building the DataAI Command Graph.
Run privacy, DSPM and AI governance off the same discovery, and keep the graph current. TechBag supports you locally (GST).
Modelled on Gartner Peer Insights structure. *Counts and breakdowns are illustrative pending verified review collection.
“We finally see where our sensitive data lives across clouds, SaaS and on-prem, and discovery surfaced shadow data we never knew of.”
“Our privacy, DSPM and AI governance all run off one discovery instead of each rebuilding its own view. That consolidation won us.”
“Linking data to individual identities let us fulfil data-subject requests accurately and at scale, which catalog tools couldn’t.”
“Classification needed tuning for our data, but once dialled in it beat the keyword rules we’d limped along with on unstructured data.”
“It’s broad and module-heavy, and we evaluated BigID for discovery, but one graph feeding privacy, DSPM and AI governance won.”
“For DPDP, data mapping and data-principal rights were the ask, and discovery plus the People Data Graph delivered both.”
“Securiti’s Bangalore R&D and Veeam backing gave us confidence on longevity. TechBag scoped the starting point and supports us locally.”
“Securiti prices by quote in USD. TechBag scoped us to start with discovery and the graph, and added INR/GST and the DPDP framing.”
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-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 — data discovery & classification depth vs breadth (one foundation for data + AI + privacy).
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.
Securiti Data Command Center is one of 18 dspm & data discovery products TechBag carries. The DSPM & Data Discovery guide narrows them to a shortlist and shows the reasoning. →
Drag the sliders (data sources; 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 your actual environment 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 requirements 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).
Have you weighed BigID, Collibra, Purview or Informatica against one discovery foundation with 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.