Not whether the data is encrypted — who can decrypt it. CipherTrust Manager generates, stores, rotates and gates access to your keys, so the answer to an auditor is evidence rather than a contractual assurance. Virtual or hardware, and rootable in a Luna HSM. building the DataAI Command Graph the whole platform runs off. Now part of Veeam.
Data residency & processing — two different questions
Where data lives
Yours — deploy on-premises in India
CipherTrust Manager deploys as a virtual appliance or physical hardware in your own data centre, and Luna HSM is a box you own. Keys, ciphertext and policy stay on infrastructure you control — the strongest available answer to an Indian residency question, where the evidence is a serial number and an access log rather than a contract clause.
The constraint, stated plainly
No India SaaS region — and Noida is people, not data
CipherTrust as-a-Service runs in Europe and North America only. Thales has 2,200+ staff in India with Noida as its Cyber & Digital engineering centre, and that is a genuine commitment — but people in India and data in India are different facts. Treating an engineering presence as a residency answer is the error that surfaces during an audit.
For a residency-bound Indian buyer this pushes you to on-premises deployment, which is very likely what your regulator wanted anyway. Under the DPDP Act the sequence matters more than the product: find the personal data first, then protect it. For RBI-regulated entities the question behind the question is usually who can decrypt, and whether administrators can read production data — both answerable here with evidence rather than assurance. And note what does not exist, so its absence is not misread: Gartner publishes no Magic Quadrant for HSM or key management at all, only Market Guides, which have no Leader quadrant. No vendor in this category has a Gartner Leader placement, and any implying one is misleading you.
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This page covers CipherTrust Manager — the foundation. The rest of the Securiti platform:
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
The central key-management authority for the CipherTrust platform — it generates, stores, rotates and controls access to cryptographic keys, and enforces who may use them.
What consolidation actually replaces, dimension by dimension.
| Dimension | Unprotected / signature email | CipherTrust Manager |
|---|---|---|
| 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 map of where sensitive data lives and who touches it — risk governed at the source, not at the perimeter.
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 the core workflows.
The platform, presented by Thales.
The console in use.
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).
Cloud providers encrypt data at rest by default. It is genuinely useful and it protects against exactly one thing: someone walking off with a disk. It does nothing whatsoever about the provider, because the provider holds the key — and a lawful order served on them is a conversation you are not part of. When an Indian regulator asks about data protection, the substance underneath is whether you can demonstrate that a third party cannot decrypt your data. Provider-managed encryption cannot answer that, and no amount of contractual assurance substitutes for key custody. CipherTrust Manager is the component that changes the answer from a promise to a demonstration.
The realistic alternative to a key manager is not an absence of keys — it is keys in a dozen places: one cloud provider's KMS, another's, a database's own encryption, a configuration file somebody swore was temporary. Nobody can answer who holds what, rotation happens where it is easy rather than where it matters, and revoking access to data means finding every copy of a key first. Centralising the authority makes rotation a policy rather than a project, and makes the access question answerable in one place.
CipherTrust Manager can run entirely in software, under your control, which is genuinely sufficient for many buyers. Where the requirement is that key material must never exist in software at all — a regulator asking specifically about hardware protection, a payments or PKI use case, or your own conclusion that a compromised host must not yield keys — it can be rooted in a Luna HSM so master keys are generated and held inside tamper-resistant hardware. The same platform serves both, so the hardware decision does not force a different product.
CipherTrust as-a-Service runs in Europe and North America. There is no India region, and we would rather you hear that from us on the first page than discover it after a cloud proof of concept. For a residency-bound Indian buyer this is not really a limitation, though — it pushes you to on-premises or virtual deployment in your own data centre, which is a stronger custody position than any vendor-hosted region could offer. Be precise about a related fact this market blurs constantly: Thales has 2,200+ staff in India and Noida is its Cyber and Digital engineering centre. That is people, not a data region, and treating the two as equivalent is the error that surfaces during an audit.
CipherTrust Manager is right when key custody is the actual problem: a regulator has asked who can decrypt, or you are moving to cloud and want the key root to stay in your building. It is not right if what you actually need is protecting documents that leave your organisation — that is rights management, and Seclore or Microsoft Purview is the answer, both of which TechBag sells. It is also more than you need if a single application requires encryption and nothing else; that is often solved within the application or database. Buy this when the answer to "who holds the keys" has to be an organisational answer rather than a per-system one.
Software key management under your control, or keys that exist only in hardware? And on-premises or cloud — remembering CipherTrust as-a-Service has no India region. These two answers determine the architecture and most of the cost, so establish them before any demo.
Scope an encryption project against a scan rather than an asset inventory. Inventories record what was provisioned deliberately; sensitive data accumulates by accident, in the reporting replica and the forgotten file share. Those are the stores that produce breaches, and they are never in the CMDB.
Test transparent encryption and measure performance overhead against your oldest business-critical system, not a clean host. That is the system the rollout has to survive, and an unacceptable overhead is far cheaper to discover now.
Hardware key custody creates roles nobody previously had, and they must be different people. Assign them during the project rather than retrofitting separation of duties afterwards, which is considerably harder and tends to get waived under delivery pressure.
Key rotation is easy to mandate and easy to skip. Equally, back up the security domain and then actually test recovering from it — an untested HSM backup is a assumption, and it is the assumption that ends organisations rather than merely inconveniencing them.
Modelled on Gartner Peer Insights structure. *Counts and breakdowns are illustrative pending verified review collection.
“The auditor stopped asking whether the data was encrypted and started asking who held the key. This is what answered that.”
“Deploying against systems nobody would let us modify was the whole reason this got approved.”
“Budget the operational side properly. The appliance is the easy part; the separation of duties took longer than the install.”
“No India SaaS region, so we went on-premises. Honestly that is what our regulator wanted anyway.”
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.
Key custody in hardware, with India engineering.
The grid nobody publishes — how deep the core capability is vs how broad the wider platform.
Deepest on key custody; not a document product.
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 | Thales | Entrust | Microsoft Purview | Seclore | HashiCorp Vault |
|---|---|---|---|---|---|
| What it actually is | Key management + hardware custody + encryption | The HSM and PKI peer | Document rights management | India-built EDRM | Secrets and encryption-as-a-service |
| Who holds the keys | You — in hardware if you want | You — in hardware | Microsoft, unless you use Double Key Encryption | Either — SaaS or self-hosted | You |
| Protection travels with the file | No — this protects infrastructure, not documents | No | Yes — labels travel with the file | Yes, with post-distribution revocation | No |
| Hardware key custody | Luna HSM | nShield — holds BIS certification | DKE holds one key; not an HSM product | Not an HSM vendor | Can integrate with an HSM |
| India data residency | Deploy on-premises — no India SaaS region | On-premises appliances — no India SaaS | India region via Advanced Data Residency | India-built; SaaS or self-hosted | Self-host anywhere, including India |
| Analyst standing | KuppingerCole Overall Leader 2025 ×2 | No HSM/key-management Leader placement found | Microsoft, evaluated broadly elsewhere | Specialist — no Gartner EDRM MQ exists | Widely recognised in its category |
| Published pricing | Quote-only | Quote-only | $12/user/mo Purview add-on; E5 $60 | Quote (INR) | Free community edition |
| The thing to plan around | HSM operations: firmware, backup, separation of duties | Scope: it exited public TLS in Sep 2025 | DKE breaks co-authoring, search and Copilot | Adoption — manual protection is rarely applied | Operationally heavy to run well |
| Best fit | Key custody with hardware, on your own infrastructure | Where BIS certification is a procurement requirement | Microsoft estates with E5 needing document labels | Documents shared outside, India-built vendor | Engineering-owned secrets and encryption services |
Honest fit signals — because the fastest way to lose your trust is to pretend one product wins every scenario.
CipherTrust Manager is one of 18 encryption & rights management products TechBag carries. The encryption & rights management guide narrows them to a shortlist and shows the reasoning. →
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 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.
Do keys need to exist only in tamper-resistant hardware, or is software key management under our control enough?
Have we accepted that CipherTrust as-a-Service is EU/NA only, and planned on-premises if residency binds us?
Are we clear that Thales's India engineering presence is people, not a data region?
Have we scanned rather than relied on an asset inventory to scope this?
Have we measured the overhead on our least-modern business-critical system?
Who administers the HSM, and who approves key use? They must not be the same person.
Do we need a second appliance at another site, and is it budgeted?
Have we backed up the security domain AND tested restoring from it?
Is our actual problem key custody, or is it documents leaving the organisation? Those are different products.
Have we priced hardware, support, resilience and operations — not just the licence?
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.