An auditor asks where customer Aadhaar copies are stored. Nobody can answer with certainty — Fortra DSPM finds sensitive data across cloud services, SaaS apps, on-network file shares and databases, ranks what is exposed or over-shared, and passes its classifications to DLP and other tools — from the Lookout Cloud Security line Fortra bought in May 2025.
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This page covers Fortra DSPM — with the 30-day Data Risk Assessment folded in. The rest:
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
Fortra DSPM shows where sensitive data sits, how exposed it is and who can reach it, across cloud and file shares.
What consolidation actually replaces, dimension by dimension.
| Dimension | A spreadsheet data map | Fortra DSPM |
|---|---|---|
| Where data lives | A spreadsheet nobody trusts | A live inventory across cloud, SaaS and shares |
| Shadow copies | Found after an incident | Shadow data flagged and ranked by risk |
| Access | Everyone group on finance folders | Excessive access rights highlighted |
| Priorities | Every finding treated the same | Ranked by sensitivity, exposure and impact |
| Enforcement | DLP guessing what is sensitive | Classification steers DLP policy |
| What it is NOT | — | A DLP, a DDR sensor, or a published price |
The cheapest test is the 30-day assessment on two stores you worry about most: a file share and one SaaS tenant.
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
Connects to cloud services, SaaS apps, file repositories and databases; Fortra says Box and SharePoint are scanned through APIs with no agent installed.
Sorts findings by sensitivity, risk and business context, separating regulated and business-critical files from low-value clutter, in Fortra’s description.
Weighs permissions, sharing, storage location and outside exposure to rank misconfigurations, shadow data and over-provisioned access by risk.
Passes classification and context to DLP and other security tools so they enforce policy; remediation runs through those integrations, not alone.
Connectors read your stores, the classifier and risk engine rank what they find, and integrations act on it — Fortra does not publish where scan data is hosted.
Fortra DSPM tells you where sensitive data sits, how exposed it is and who can reach it — then hands the answer to your DLP.
Builds an inventory of sensitive data across cloud services, SaaS apps, on-network file shares and databases, shadow copies included.
Fortra says DSPM scans Box and Microsoft SharePoint through API integrations, with nothing installed on the platforms themselves.
AI classifiers mark data as sensitive, regulated or business-critical with its context; Fortra says they tested over 95% accurate.
Flags misconfigured stores and publicly reachable files, so exposed data surfaces before an attacker or an auditor finds it first.
Highlights over-provisioned and excessive access to sensitive data, the permission sprawl behind most internal exposures.
Orders issues by sensitivity, exposure and business impact, so the team fixes the riskiest stores first and alert fatigue drops.
Classification results direct downstream tools such as Fortra DLP, so endpoint and network policy act on what DSPM found.
Uses context to apply remediation and policy actions through integrated security tools, without blocking users’ normal work.
A 30-day Data Risk Assessment powered by DSPM, plus self-guided tours, shows findings on your own data before you buy.
Two videos from Fortra’s official channel: a 2025 webinar and demo on DSPM from endpoint to cloud, and a one-minute 2026 product short.
A 20-minute Fortra webinar and demo on DSPM finding and classifying data, then protecting it from endpoint to cloud.
A one-minute Fortra short on mapping data risk across cloud, SaaS and on-premises stores with Fortra DSPM.
Want a live, India-context walkthrough for your environment?
Book a guided demo →Here’s what genuinely sets it apart — and exactly where it stops.
Many DSPM tools were built for cloud buckets and stop there. Fortra DSPM names on-network file shares and databases alongside cloud services and SaaS apps, and Fortra’s datasheet calls it hybrid DSPM. For Indian firms with years of data on Windows file servers, that scope can decide the shortlist.
Classification is meant to drive action: Fortra says DSPM results direct downstream tools such as DLP. If you already run Fortra DLP or Data Classification, one vendor finds the data, labels it and enforces on it, instead of two products holding two definitions of what is sensitive.
Fortra offers a 30-day Data Risk Assessment powered by DSPM, plus self-guided product tours. A month of findings on your own stores is a better test than any accuracy claim, including Fortra’s figure of over 95% classifier accuracy in testing, whose method it does not publish.
No price or meter is published. Fortra does not name data detection and response, documents no DPDP-shaped reports and publishes no hosting region. How file shares and databases are scanned, by agent or connector, is not stated, and the product has been part of Fortra only since May 2025.
Inventory cloud accounts, SaaS tenants, file servers and databases, and mark which hold customer or staff personal data.
Get the hosting region for scan metadata in writing, confirm a connector for each store, and agree the assessment scope.
Run Fortra’s 30-day Data Risk Assessment and walk through shadow data, misconfigurations and excess access with owners.
Close the highest-ranked exposures, test classifiers on PAN, Aadhaar and GSTIN samples, and wire the results into DLP.
Extend to the remaining stores, set a review cadence for new findings, and settle the INR quote with GST through TechBag.
Modelled on Gartner Peer Insights structure. *Counts and breakdowns are illustrative pending verified review collection.
“The first scan found payroll exports on a forgotten file share and in three SharePoint sites; the inventory alone paid for it.”
“We already ran Fortra DLP, so feeding DSPM classifications into policy was the obvious next step, and alert noise fell.”
“The 30-day risk assessment gave us real findings on our own data before procurement, which made the internal case easy.”
“Excess-access findings were the eye-opener: finance folders open to the whole company through groups nobody remembered.”
“Our DPO wanted DPDP-style reports and a stated hosting region. Neither was documented, so both went into the contract.”
“Box and SharePoint connected over API with no agent, but confirming coverage of our databases took time with Fortra.”
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 security posture management market — tap any vendor to see why it sits where it does.
Execution strength vs product vision — the classic market map, minus the paywall.
Quote-only; GigaOm 2026 Leader per Fortra; region unstated.
The grid nobody publishes — how many kinds of store the product scans (cloud, SaaS, on-prem shares, databases) vs how far it goes once it finds something: report, ticket, hand to DLP or fix.
Cloud, SaaS, shares and databases; acts through DLP integration.
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.
Against Varonis, Cyera, Forcepoint, Securiti and Seclore DSPM — on stores scanned, scan approach, access depth, remediation, DLP hand-off, DDR, DPDP reporting, price and India data.
| Dimension | Fortra DSPM | Varonis DSPM | Cyera DSPM | Forcepoint DSPM | Securiti DSPM | Seclore DSPM |
|---|---|---|---|---|---|---|
| What it is | Hybrid DSPM | Data-centric platform | AI-native, agentless | Know-your-data layer | Part of Data Command | Discovery for EDRM |
| Maker and origin | Fortra, via Lookout | Varonis, US | Cyera, founded 2021 | Forcepoint | Veeam-owned | India-built, Mumbai |
| Stores scanned | Cloud, SaaS, shares, DBs | Widest, on-prem too | Cloud and SaaS | Cloud to data lakes | Catalogue of sources | Object, SaaS, on-prem |
| Scan approach | API; rest unstated | Hybrid | Agentless | Hybrid | Connector catalogue | Connectors |
| Access-path depth | Excess access flagged | Deepest | Basic | Basic | Identity-linked, basic | Basic |
| Remediation | Through integrations | Acts automatically | Workflow | Workflow | Workflow | Protects the file |
| Same-vendor DLP | Directs Fortra DLP | Varonis DLP | Omni DLP | Forcepoint DLP | Privacy, not DLP | AI-DLP and EDRM |
| Detection and response | Not named | DDR in the platform | No DDR | Separate DDR product | No DDR | No DDR |
| DPDP reporting | Not documented | Not documented | Not documented | Not documented | Documented | Documented |
| Pricing model | Quote, meter unstated | Per user or store | Per environment | Portfolio quote | Data Command Center | Quote in INR |
| Published entry price | Not published | Not published | Not published | Not published | Not published | Not published |
| India data region | Not published | Not documented | Not documented | Not documented | Not documented | India-built vendor |
| Lock-in and exit | Ties to Fortra DLP | A programme to unwind | Agentless, light exit | Bound to DLP policy | Shared graph | Files stay wrapped |
| Best fit | Fortra DLP estates | Access-heavy estates | Cloud-first speed | Forcepoint DLP buyers | Privacy-led programmes | India-first protection |
Honest fit signals — because the fastest way to lose your trust is to pretend one product wins every scenario.
Fortra DSPM is one of 18 dspm & data discovery products TechBag carries. The DSPM guide narrows them to a shortlist and shows the reasoning. →
Drag the sliders (data stores in scope; analyst-hour cost). Estimates model the time spent finding sensitive data by hand, chasing owners and reviewing access on each store, at an assumed 20 hours per store a year, with 60% of it removed by automated discovery and ranking. Both figures are assumptions. Illustrative.
Loaded cost = salary + overheads per productive hour. Illustrative only — your TechBag quote models your actual environment and modules.
Quote only. Fortra publishes no DSPM price and no meter, so it is not stated whether data stores, terabytes scanned, accounts or users are counted. The AWS Marketplace listing shows the same figure for every Fortra product, a private-offer placeholder rather than a list price. The documented first step is a 30-day Data Risk Assessment. TechBag scopes your stores, then gets the quote in INR with GST.
Best first step on your own data
Best for a broader rollout
Best once the assessment proves value
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.
Is DSPM priced per data store, per terabyte scanned, per user or per account, and what does the 30-day assessment cost?
Where are scan results, metadata and any sampled content stored and processed? No region is published; get it in writing.
Which of your exact stores are supported today, and are file shares and databases reached by an agent or a connector?
Do the classifiers recognise PAN, Aadhaar, GSTIN and UPI IDs, or must you build them? Test on your own sample files.
Can findings be reported by personal-data category and purpose for your DPDP register, or must you export and map them?
Which fixes can DSPM apply on its own, and which run only through Fortra DLP or another tool you must also license?
Fortra says its classifiers tested over 95% accurate. Ask for the test method, the data set and the false-positive rate.
The product joined Fortra in May 2025. Ask which parts still run on ex-Lookout infrastructure and what is changing.
List your cloud accounts, SaaS tenants, file servers and databases, or let a TechBag advisor scope the 30-day assessment and settle meter and hosting region with Fortra in writing.
Stats, ratings, review counts and pricing are illustrative and sourced from public materials; verify before purchase.