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Skyflow
Skyflow is a Data Privacy Vault delivered as an API — it isolates, encrypts & tokenizes your most sensitive data (PII, PHI, PCI, secrets). Your systems keep tokens; the vault keeps the data, with governance, residency & a privacy layer for AI.
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Skyflow — a Data Privacy Vault
This page covers Skyflow (a Data Privacy Vault). Explore the wider TechBag catalogue:
Quick facts
30-second orientation- Product
- Skyflow — a Data Privacy Vault (API)
- Vendor
- Skyflow (founded 2019 · Palo Alto, California)
- The category
- Data privacy vault
- What it does
- Store, tokenize & govern sensitive data (PII/PHI/PCI)
- The mechanic
- Vault holds the data; your apps hold tokens
- Core features
- Encryption, tokenization, access control, residency
- New angle
- AI data privacy — the privacy layer for LLMs/agents
- Founders
- Anshu Sharma (CEO) & Roshmik Saha (CTO)
- Vs
- VGS, HashiCorp Vault (secrets), cloud DIY, Privacera/Immuta, BigID
- In India via
- TechBag — INR, 18% GST, PO support, advisory
Understand data privacy vaults before you buy one
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
What is Skyflow?
A Data Privacy Vault delivered as an API — an isolated service that stores, encrypts, tokenizes and governs your most sensitive data (PII, PHI, PCI, secrets). Your systems keep tokens; the vault keeps the real data, with residency and de-identification built in.
Sensitive data sprawled vs a Skyflow vault — the honest table
What consolidation actually replaces, dimension by dimension.
| Dimension | Unprotected / signature email | Skyflow |
|---|---|---|
| Where sensitive data lives | Scattered across DBs, logs, warehouses | Isolated in one governed vault |
| What your app stores | Raw PII/PHI/PCI everywhere | Format-preserving tokens only |
| Breach blast radius | Every store is exposed | A leak reveals references, not PII |
| Encryption | At rest / in transit (if lucky) | Polymorphic — encrypted even in use |
| Access control | Coarse, table-level | Fine-grained, field-level + masking |
| Data residency | Wherever the cloud put it | Store in a chosen geography (DPDPA) |
| AI / LLM exposure | Raw PII into prompts & logs | De-identify in, re-identify out |
| Best fit | (varies) | Isolate & govern PII/PHI/PCI as an API |
Skyflow is a Data Privacy Vault delivered as an API — isolate, encrypt, tokenize and govern PII/PHI/PCI, with field-level access control, data residency (DPDPA-relevant) and a privacy layer for AI (de-identify PII before it hits an LLM). Honest: it’s a vault + governance layer, not a DLP/CASB/discovery tool (pair with BigID) or a secrets manager (that’s HashiCorp Vault) — and it’s an architectural commitment. TechBag scopes it & adds INR/GST/PO.
The five pieces of the platform
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
Isolate in the Vault
Move PII, PHI, PCI cardholder data and secrets OUT of your app databases, logs and analytics stores and into Skyflow’s dedicated, isolated vault. Pre-built templates for PII, PCI and healthcare mean you don’t design a schema from scratch. The sensitive data lives in one governed place. Isolation is the whole idea — a single, defensible home for the data that matters most.
Encrypt & Tokenize
Inside the vault, values are protected with polymorphic encryption (data stays encrypted even in use) and replaced with format-preserving TOKENS. Your own systems store the tokens, not the real data — so a leak of your database or logs reveals references, not PII. Encrypt in the vault, tokenize everywhere else. The blast radius of a breach shrinks dramatically.
Govern Access & Residency
Fine-grained, field-level access control decides who can see which value (with column-level encryption and masking), and data-residency controls store data in a chosen geography to meet local law — DPDPA in India, GDPR in the EU, and more. De-identify for PII/PHI/PCI compliance. Policy, not hope. Who sees what, and where it lives, are both governed.
Use It Safely
Secure workflows let teams and services SHARE or REVEAL exactly the data they need — detokenize a value for a support agent, run analytics on tokenized data, pass a card to a processor — without exposing the underlying PII broadly. Use the data without spreading it. Utility and protection at the same time, through the vault’s API.
The Privacy Layer for AI
Skyflow’s newer focus: sit between your data and your AI. De-identify PII BEFORE it flows into an LLM or AI agent, then re-identify on the way out — with integrations across the agentic-AI stack, including AWS Bedrock AgentCore. Let models work on data without ingesting raw PII. As AI eats sensitive data, the vault becomes the privacy layer in front of it.
One agent on every machine, one console over all of them — modules attach without a second operational world.
Twelve capabilities. Vault, govern, use.
Skyflow isolates your most sensitive data in one governed vault — encrypted, tokenized and residency-aware — the data privacy vault from portfolio, and paired with the human firewall.
Dedicated, Isolated Data Vault
A purpose-built, isolated service that stores your most sensitive data (PII, PHI, PCI, secrets) apart from your app stack — not another table in your existing database. One governed home for the data that matters. Isolation by design.
Polymorphic Encryption (Even In Use)
Values in the vault are protected with polymorphic encryption — data stays encrypted even while it’s being used, and column-level encryption applies per field. Not just encrypted at rest and in transit. Encrypted where it counts.
Format-Preserving Tokenization
Replace sensitive values with format-preserving tokens; your systems hold the tokens, the vault holds the data. A leak of your database or logs reveals references, not real PII. Tokens everywhere, secrets in the vault. Shrink the blast radius.
Fine-Grained, Field-Level Access Control
Decide who can see which field — with column-level encryption and masking — so a support agent, an analyst and a service each see only what their role permits. Governance at the field, not the table. Least privilege, enforced.
Data Residency (Store By Geography)
Store data in a specific geography to satisfy local law — DPDPA in India, GDPR in the EU and more — so Indian citizens’ PII can live in a chosen region. Residency as a control, not an afterthought. Where the data lives is governed.
PII / PHI / PCI De-Identification
De-identify sensitive data for privacy and compliance — strip or tokenize identifiers so downstream systems, analytics and third parties work on non-sensitive data. Compliance made mechanical. De-identify, then use freely.
Data Governance Policy & Audit
Define governance policies over the vault and get an audit trail of who accessed which data — the accountability layer regulators and auditors expect around PII/PHI/PCI. Policy plus proof. Governance you can evidence.
Secure Share & Reveal Workflows
Reveal or share exactly the data a person or service needs — detokenize one value for a support agent, pass a card to a processor — without exposing the underlying PII broadly. Use the data without spreading it. Utility with control.
Analytics On De-Identified Data
Run analytics and downstream processing on tokenized / de-identified data so your data teams keep working while raw PII stays inside the vault. Insight without exposure. Analysts don’t need the real values.
The Privacy Layer for AI (LLMs / Agents)
De-identify PII before it flows into an LLM or AI agent and re-identify on the way out — with integrations across the agentic-AI stack, including AWS Bedrock AgentCore. Let models work without ingesting raw PII. Privacy in front of AI.
API-First Integration
Skyflow is delivered as an API — you call the vault to store, tokenize, reveal and govern, and wire it into your services rather than run a database of your own. Privacy as an API. Build sensitive-data flows through one governed endpoint.
Watch Skyflow in action
The overview, getting started, and protecting M365 email.
What Is a Data Privacy Vault
The vault concept: isolate, protect and govern sensitive data.
Move Fast and Don’t Break Privacy — Skyflow’s Fintech Data Privacy Vault
Tokenize PCI/PII and build sensitive-data flows as easily as an API.
Privacy Vaults: The Future of Data Security
De-identification and governance for PII, with CPO Amruta Moktali.
Demo: Privacy-Safe LLM in a Bank with a Data Privacy Vault
The privacy layer for AI — de-identify PII before it reaches an LLM.
Want a live, India-context walkthrough on your own fleet?
Book a guided demo →The endpoint catches what arrives. Email stops it arriving.
Here’s what genuinely sets Skyflow apart (and where a different tool fits better).
A purpose-built vault that gets sensitive data OUT of your stack
The single biggest reason organisations choose Skyflow is architectural: it moves your most sensitive data — PII, PHI, PCI cardholder data, secrets — out of your sprawling app databases, logs and analytics stores and into one dedicated, isolated vault, leaving only format-preserving tokens behind in your own systems. The problem it solves: sensitive data has a way of spreading — copied into tables, cached in logs, exported to warehouses, pasted into tickets — and every place it lands is another thing to secure, audit and worry about in a breach. What Skyflow provides: a single governed home for that data, so a leak of your database or logs reveals references, not real PII, and your compliance scope collapses to one system instead of dozens. Pre-built templates for PII, PCI and healthcare mean you start from a known-good shape rather than a blank schema. Why it matters: the blast radius of a breach is defined by where sensitive data lives — concentrate it in a vault and tokenize everywhere else, and you have shrunk that radius dramatically while keeping the data usable. The value: Skyflow isolates PII/PHI/PCI in a purpose-built vault and puts tokens in your stack — a smaller breach blast radius and a tighter compliance scope. For getting sensitive data out of everywhere, this matters. TechBag helps Indian organisations adopt Skyflow with local billing and honest advisory. TechBag helps you contain the data that matters most.
Encryption, tokenization, access control and residency — in one API
A defining strength of Skyflow is CONSOLIDATION: polymorphic encryption (data encrypted even in use), format-preserving tokenization, fine-grained field-level access control with masking, and data-residency controls all live behind a single API — instead of stitching them together yourself from a KMS, a tokenization library, an IAM system and residency plumbing. The problem it solves: building a compliant sensitive-data layer DIY means integrating and owning many moving parts, each a place to get encryption, key management or access policy subtly wrong. What Skyflow provides: those capabilities as one governed service — who sees which field, where the data physically lives, how it’s encrypted and tokenized — all policy-driven and auditable through the vault. De-identification for PII/PHI/PCI is built in, so compliance becomes mechanical rather than bespoke. Why it matters: the value of a vault is that the hard, error-prone parts of protecting sensitive data are solved once, correctly, behind an API — not reinvented per team. For fast, defensible compliance (PCI, HIPAA, GDPR, DPDPA), that consolidation is the point. The value: Skyflow bundles encryption, tokenization, field-level access control and residency into one API — the hard parts solved once. For a defensible sensitive-data layer without DIY, this matters. TechBag scopes the right vault design and tier. TechBag helps you buy the privacy layer, not build it.
Data residency — the DPDPA / geography control Indian buyers need
A key strength of Skyflow for Indian organisations is DATA RESIDENCY: the vault can store data in a specific geography, so Indian citizens’ PII can live in a chosen region to meet local expectations. The problem it solves: India’s DPDPA (Digital Personal Data Protection Act) and data-residency expectations raise a hard question — where does your sensitive data physically live, and can you prove it? Scattering PII across cloud services in unknown regions makes that impossible to answer cleanly. What Skyflow provides: residency as a first-class control — you choose where the vault stores data — alongside the encryption, tokenization, field-level access control and audit trail that regulators expect around personal data. De-identification lets downstream systems and analytics work on non-sensitive data while the real values stay governed in-region. Why it matters: residency is increasingly not optional — DPDPA, GDPR and sector rules make geography a compliance requirement, and a vault that treats it as a control (not an afterthought) is exactly what a privacy-conscious Indian buyer needs. (Honest: confirm exact regional availability with Skyflow at quote time — frame this as DPDPA / residency relevance, not a specific claim.) The value: Skyflow makes data residency a control — store Indian PII in a chosen region — the kind of governance DPDPA raises. For India’s privacy regime, this matters. TechBag advises on residency scoping and adds INR/GST. TechBag helps you keep sensitive data where the law expects it.
The privacy layer for AI — de-identify PII before it hits a model
A strength that has become central to Skyflow’s story is AI DATA PRIVACY: sit the vault between your data and your models, de-identify PII before it flows into an LLM or AI agent, and re-identify on the way out. The problem it solves: AI eats data — RAG pipelines, agents and copilots pull sensitive customer data into prompts, embeddings and logs, and once raw PII is inside a model’s context or a third-party API, controlling it is hard. What Skyflow provides: a privacy layer in front of AI — tokenize or de-identify sensitive values before they reach the model, let the model reason over non-sensitive tokens, then re-identify results for authorised users — with integrations across the agentic-AI stack, including AWS Bedrock AgentCore. Why it matters: as organisations race to adopt AI, the fastest way to say NO to a project is unmanaged data exposure; a vault that lets models work without ingesting raw PII removes that blocker and keeps AI compliant with the same governance as the rest of your data. The value: Skyflow de-identifies PII before it reaches LLMs and agents, then re-identifies on the way out — AI that works without ingesting raw personal data. For adopting AI safely, this matters. TechBag helps you scope the AI-privacy use case. TechBag helps you put a privacy layer in front of your AI.
A well-funded, focused vendor — and TechBag makes it local (INR, GST, PO)
Skyflow is a focused, well-backed company solving one hard problem — and for Indian organisations TechBag adds the local billing, procurement and honest advisory that make adopting it straightforward. Skyflow the company: founded in 2019 and headquartered in Palo Alto / Mountain View, California, it was co-founded by CEO Anshu Sharma and CTO Roshmik Saha (Amruta Moktali is Chief Product Officer — a key exec, not a founder). It is backed by Khosla Ventures, Canvas, Foundation Capital and others, with a Khosla-led round of roughly $30M announced in March 2024; treat any cumulative funding figure as approximate — the safe statement is ‘well-funded, Khosla-backed’. Its whole product is the data privacy vault — a focus rather than a side feature bolted onto a broader suite. India relevance: DPDPA and data-residency expectations make a residency-aware vault genuinely useful here, and Skyflow can store PII in a chosen region (confirm regional specifics at quote time). Where TechBag adds value: Skyflow is quote-only enterprise pricing in USD, so TechBag adds INR invoicing, 18% GST, procurement/PO support, and — crucially — honest advisory on whether Skyflow, VGS, HashiCorp Vault, a cloud-native DIY build, Privacera/Immuta or BigID is the right fit for your specific need. The value: Skyflow is a focused, Khosla-backed vault vendor — and TechBag adds INR/GST invoicing, PO support and honest, tool-agnostic advisory. TechBag supplies it, made local for India. TechBag helps you pick and buy the right privacy layer.
The honest scope
Skyflow is a Data Privacy Vault delivered as an API — a dedicated, isolated service that stores, encrypts, tokenizes and governs your most sensitive data (PII, PHI, PCI, secrets), keeping tokens in your own systems, with data residency, de-identification and, increasingly, a privacy layer for AI. From Skyflow (founded 2019, Palo Alto; co-founded by CEO Anshu Sharma and CTO Roshmik Saha; well-funded, Khosla-backed). The honest framing — strengths, and where a rival or a different approach fits better: Skyflow’s strengths are a purpose-built vault that isolates sensitive data out of your stack, encryption + tokenization + field-level access control + residency + governance in ONE API, fast compliance (PCI/HIPAA/GDPR/DPDPA), and the newer AI-privacy layer. But several honest caveats matter. (1) It is an ARCHITECTURAL COMMITMENT — re-routing sensitive data flows through a vault and threading tokens through your systems is real engineering, not a config toggle. (2) Pricing is enterprise, quote-only — no public price list, priced by vaults, records, environments and workflows. (3) It adds a dependency and a potential latency hop on the path to your sensitive data. (4) It is a vault + governance layer, NOT a DLP, CASB or data-DISCOVERY tool — it doesn’t find sensitive data sprawling across your estate, so pair it with a discovery tool like BigID. (5) It is a young-ish company (2019), though well-funded. Where rivals fit better: Very Good Security (VGS) is the closest data-vault-as-a-service peer (originally PCI/card-focused) — compare directly. HashiCorp Vault is SECRETS management, a different job — for API keys and secrets you’d still use it, not Skyflow (we have a HashiCorp hub; be precise the scope differs). A cloud-native DIY build (AWS KMS + tokenization on DynamoDB) is cheaper but you build and own the governance and residency yourself. Privacera/Immuta govern data ACCESS for lakes and warehouses (broader analytics governance, not a vault). BigID is data DISCOVERY and privacy intelligence (find sensitive data) — complementary, not identical. So the honest positioning: for isolating and governing PII/PHI/PCI in a purpose-built vault — and putting a privacy layer in front of AI — Skyflow is excellent; for pure secrets, HashiCorp Vault; for a card-focused vault-as-a-service, compare VGS; for analytics access-governance, Privacera/Immuta; for finding sensitive data, BigID; and if you want to own it cheaply, a cloud-native DIY build. TechBag advises honestly — the right tool, not the loudest — and adds INR/GST, PO support and local billing.
The numbers behind the platform
What your Skyflow journey looks like
Scoping (& the right tool)
Which sensitive data (PII? PHI? PCI? secrets?), where it sprawls today, residency needs (DPDPA?), and whether you also need AI-privacy. TechBag scopes it and advises honestly — Skyflow for a PII/PHI/PCI vault, VGS for a card-first vault-as-a-service, HashiCorp Vault for secrets, BigID for discovery, or a cloud-native DIY build.
Design the vault
Pick a vault template (PII, PCI or healthcare), map which fields move into Skyflow, and design how tokens thread back through your systems. This is an architectural commitment — TechBag helps you scope the engineering honestly.
Migrate & tokenize
Move sensitive values into the vault, replace them with tokens in your app databases, logs and warehouses, and wire access policies + residency. A smaller breach blast radius and a tighter compliance scope. TechBag invoices INR + 18% GST.
Govern, use & extend to AI
Run analytics on de-identified data, reveal values through secure workflows, keep an audit trail, and extend the vault as the privacy layer in front of your LLMs and agents (de-identify in, re-identify out). TechBag supports you locally.
Trusted across regulated industries in 100+ countries
The review scoreboard
Modelled on Gartner Peer Insights structure. *Counts and breakdowns are illustrative pending verified review collection.
Quick poll — what’s driving your evaluation?
Talk to an advisor“We pulled cardholder and customer PII out of a dozen services and into Skyflow’s vault, leaving tokens behind. Our PCI scope shrank dramatically and a database leak now exposes references, not real data. That’s the whole value.”
“Encryption, tokenization, field-level access control and residency in one API saved us from stitching a KMS, an IAM system and a tokenization library together ourselves. We bought the privacy layer instead of building it.”
“Honest: this is an architectural commitment. Re-routing sensitive data flows through the vault and threading tokens through our systems was real engineering — worth it, but not a weekend. TechBag scoped that effort up front.”
“Data residency was the deciding factor. With DPDPA on the horizon we needed Indian PII in-region and provable governance over it. Skyflow made residency a control, not a hope. TechBag helped us scope the region.”
“We use Skyflow as the privacy layer in front of our AI — de-identify PII before it hits the model, re-identify for authorised users. It unblocked an AI project our risk team had been sitting on for months.”
“Skyflow is quote-only enterprise pricing in USD, priced by vaults and records. TechBag scoped it to our environments, invoiced in INR with 18% GST and handled the PO — made an enterprise US tool easy to actually buy here.”
“Be clear on scope: Skyflow is a vault and governance layer, not a discovery tool. It won’t find PII sprawling across your estate — we pair it with BigID for that. TechBag told us that split honestly instead of overselling.”
“For our API keys and secrets we still use HashiCorp Vault — different job. Skyflow is for customer PII/PHI/PCI. TechBag was candid that they’re not the same tool, which is exactly the advice we wanted.”
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-privacy-vault market — tap any vendor to see why it sits where it does.
TechBag Email-Security Grid
Execution strength vs product vision — the classic market map, minus the paywall.
Data privacy vault (PII/PHI/PCI). This page's product.
Detection × Portfolio Integration
The grid nobody publishes — how strong the email detection is vs how integrated with the wider security portfolio.
Vault + tokenization + residency depth.
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.
Skyflow vs the sensitive-data field
Very Good Security (VGS), HashiCorp Vault, cloud-native DIY, Privacera/Immuta and BigID — honest lanes; Skyflow’s edge is a purpose-built PII/PHI/PCI vault + residency + AI-privacy. Need secrets? HashiCorp Vault (different scope). Card-first vault-as-a-service? VGS. Discovery? BigID. We say so.
| Dimension | Skyflow | Very Good Security (VGS) | HashiCorp Vault | AWS / cloud-native DIY | Privacera / Immuta | BigID |
|---|---|---|---|---|---|---|
| Position | Data privacy vault (PII/PHI/PCI) | Data-vault-as-a-service (card-first) | Secrets management | KMS + tokenization, DIY | Data-access governance (lakes/DW) | Data discovery & privacy intelligence |
| Isolates PII/PHI/PCI in a vault | Purpose-built vault + tokens | Vault-as-a-service (card-origin) | Secrets, not a PII vault | You build the vault yourself | Governs access, doesn’t vault | Finds data, doesn’t vault |
| Encryption + tokenization in one API | Polymorphic + tokenization built in | Tokenization / aliasing core | Encryption/secrets; not PII tokens | KMS + your own tokenization | Policy/masking, not vault tokens | Not its job |
| Governance + data residency | Field-level + residency built in | Access + residency (card-scope) | Policy for secrets | You wire up residency yourself | Strong access governance | Strong discovery + privacy intel |
| Privacy layer for AI (LLMs) | De-identify in / re-identify out | Tokenize before use | Not an AI-privacy tool | Build the redaction yourself | Governs access to data | Find sensitive data first |
| Best fit | Isolate & govern PII/PHI/PCI as an API; privacy for AI | Card-first vault-as-a-service | API keys & secrets management | Own it cheaply, build the governance | Analytics access-governance for lakes/DW | Find sensitive data across the estate |
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 Skyflow if…
- ✓You want to isolate PII/PHI/PCI out of your stack into a purpose-built vault, leaving tokens behind
- ✓You want encryption, tokenization, field-level access control and data residency in ONE API — not DIY
- ✓You need fast, defensible compliance (PCI, HIPAA, GDPR, DPDPA) with residency and audit built in
- ✓You want a privacy layer in front of AI — de-identify PII before it reaches LLMs and agents
Very Good Security (VGS) if…
- ✓You want the closest data-vault-as-a-service peer, especially if your need is card / PCI-first — compare it directly against Skyflow
HashiCorp Vault if…
- ✓You need SECRETS management (API keys, certificates, credentials) — a different job; Skyflow is for customer PII/PHI/PCI, not secrets
AWS / cloud-native DIY if…
- ✓You want to build and OWN it cheaply (KMS + tokenization on your database) and accept owning the governance, residency and maintenance yourself
Privacera / Immuta / BigID if…
- ✓You need analytics access-governance for lakes/warehouses (Privacera/Immuta) or data DISCOVERY across your estate (BigID) — complementary to a vault, not the same tool
What do email threats cost you?
Drag the sliders (sensitive records; systems that touch them; IT-hour cost as loaded rate). Estimates contrast sprawled sensitive data (PII copied across databases, logs and warehouses — wide breach blast radius, heavy compliance scope) vs a Skyflow vault (data isolated + tokenized, tighter scope, provable residency) — the wins are breach blast radius reduced, compliance scope collapsed, and audit effort saved. Illustrative — TechBag scopes your vault design.
Loaded cost = salary + overheads per productive hour. Illustrative only — your TechBag quote models actual device counts and modules.
Three ways to consume it
Skyflow is ENTERPRISE, QUOTE-ONLY pricing (no public price list) — priced structurally by the number of vaults, the volume of records stored, the environments (dev/staging/prod) and the workflows/features involved (tokenization, residency regions, AI-privacy). Budget for it as enterprise data infrastructure, and remember it’s an architectural investment (you re-route sensitive data flows through the vault) — factor engineering alongside licence. Skyflow quotes USD; TechBag scopes the deployment, invoices INR + 18% GST and handles PO/procurement. Verify current figures at quote time.
Skyflow (quote-only, enterprise)
Best for a PII/PHI/PCI vault
- Priced structurally by vaults, records, environments & workflows — no public list
- Encryption + tokenization + field-level access control + residency in one API
- An architectural commitment — factor engineering effort alongside licence cost
+ Platform add-ons
Best for a broader rollout
- Scoped to your estate
- Add-on modules as needed
- Phased, right-sized deployment
+ scoping & local support
Best value with TechBag
- Right-tool scoping + honest advice (Skyflow vs VGS/HashiCorp Vault/BigID/DIY)
- Skyflow quotes USD; it’s a vault + governance layer, not a DLP/CASB/discovery tool
- TechBag adds INR invoicing, 18% GST & procurement/PO support
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 an India-ready quote
Tell us your device counts and current tools — we’ll model it against what you spend today.
The 8 questions to ask every vendor
Take this into your next vendor call — including ours.
Is PII/PHI/PCI scattered across your databases, logs and warehouses? Skyflow isolates it in one vault and leaves tokens behind — shrinking your breach blast radius.
Fighting PCI, HIPAA, GDPR or DPDPA scope? Concentrating sensitive data in a governed vault with de-identification collapses scope to one system.
Need Indian PII stored in-region for DPDPA? Skyflow makes residency a control — confirm exact regional availability with TechBag at quote time.
Pulling customer data into LLMs or agents? Skyflow de-identifies PII before it hits the model and re-identifies on the way out — the privacy layer for AI.
Need to FIND sensitive data across your estate? Skyflow is a vault + governance layer, not a discovery tool — pair it with BigID. TechBag will say so.
Managing API keys and secrets? That’s HashiCorp Vault’s job, not Skyflow’s — different scope. TechBag keeps the two straight.
Tempted to DIY with KMS + tokenization? Cheaper to license, but you own the governance, residency and maintenance. TechBag compares honestly.
Skyflow is quote-only enterprise pricing in USD (by vaults, records, environments) — TechBag adds INR invoicing, 18% GST and PO/procurement support.
Questions buyers ask
Ready to isolate and govern your sensitive data?
Scope Skyflow (a Data Privacy Vault that isolates, encrypts, tokenizes and governs PII/PHI/PCI — with residency and a privacy layer for AI) — or let a TechBag advisor scope your vault design, compare honestly vs VGS, HashiCorp Vault, cloud-native DIY, Privacera/Immuta and BigID, and add INR invoicing, 18% GST and PO support.
Stats, ratings, review counts and pricing are illustrative and sourced from public materials; verify before purchase.