Not who has access — which access is dangerous. Gurucul Identity Analytics scores entitlements and access patterns for risk, surfacing excess privilege, dormant high-risk access and the permissions that accumulate across a decade of role changes and never get removed.
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How it’s rated
Full scoreboard ↓Data residency & processing — answered by definition
Where data lives
Yours, if you self-host
Gartner’s own 2025 MQ text confirms the platform runs SaaS, cloud OR self-hosted. Self-hosted puts collection scope and physical storage under your control — on-premises or your own cloud account, in India if you choose — which is how you hold 180 days of logs in Indian jurisdiction and evidence it.
Two things we could NOT verify
Air-gap, and any India region
A genuine air gap is marketed but we could not confirm it independently, and self-hosted is not the same thing — air-gap affects licence activation, threat-intel updates and support access. We also found no evidence of a vendor-run India data region. Get both in writing before you commit.
Be precise about which obligation binds you, because the strict reading is routinely oversold — including by vendors selling on-premises platforms, so weigh our incentive too. CERT-In’s April 2022 Directions require a rolling 180 days of ICT logs “within the Indian jurisdiction”, but CERT-In’s own May 2022 FAQ (Q35) permits storage outside India provided logs stay producible in reasonable time — the hard in-India duty attaching to financial-transaction records. Where it becomes unambiguous is sectoral: IRDAI’s 2023 audit annexure asks, as a yes/no an insurer must answer affirmatively, whether ICT infrastructure logs are stored in India. If that is you, self-hosting stops being a preference. Note too that people in India and data in India are different things — the Pune engineering centre is real, and it is not a data region.
Quick answer
This page covers Gurucul Identity Analytics — the access-risk analytics. The other pillars:
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
Scoring entitlements and access patterns for risk rather than cataloguing them — excess privilege, dormant high-risk access, and permissions accumulated across years of role changes.
What risk-scoring entitlements changes about access governance.
| Dimension | Spreadsheet access review | Identity Analytics |
|---|---|---|
| Question asked | Who has access? | Which access is risky? |
| Reviewer’s view | Hundreds of cryptic entitlement names | Risk-ranked items with usage beside them |
| Dormant access | Re-approved every quarter | Flagged for removal |
| Accumulated privilege | Invisible across role changes | Surfaced as access outliers |
| Orphaned accounts | Found at audit | Detected and scored continuously |
| Detection link | None | Shares an identity model with UEBA and SIEM |
| Honest caveat | — | Analytics, not IGA — no provisioning |
| Best fit | — | BFSI teams evidencing access reviews |
Risk-scored access is the edge — for provisioning and joiner-mover-leaver workflow you still need an IGA platform (TechBag sells those too).
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
Pulls accounts, groups, roles and entitlements from directories, IAM and business applications, alongside the activity showing whether each entitlement is actually used.
Normalises entitlements across systems into one model per identity, so a person’s access in the core banking app, the directory and the cloud console is judged together.
Machine learning compares each identity’s access with peers in similar roles and flags outliers — entitlements nobody else in that job holds, which are usually leftovers.
Gurucul applies anomaly detection and predictive risk scoring to accounts and entitlements, so excess, dormant and orphaned access is ranked rather than merely listed.
Discovery surfaces privileged accounts and rights sitting outside a PAM vault — what Gurucul describes as closing privileged-access blind spots.
Risk context feeds access reviews and, through closed-loop IAM integration, the governance tool that removes access. It informs IGA rather than replacing its workflow.
Entitlements and their actual use, scored for risk — so reviewers decide on evidence and dormant access gets removed.
Gurucul Identity Analytics pulls accounts and entitlements from your directories and applications, compares them with how they are actually used, and scores the risk. Here is what sits in each layer.
Inventories accounts, roles and entitlements across directories and applications.
Pairs each entitlement with whether, and how, it is actually used.
Finds admin rights and privileged accounts that sit outside the vault.
Flags entitlements that no peer in the same role holds.
Surfaces powerful access unused for months — the easiest risk to remove.
Finds accounts whose owner has left, or never existed in HR records.
Measures access beyond what the role needs, accumulated across moves.
Ranks identities and entitlements by likelihood of misuse.
Reviewers see risk and usage, not cryptic entitlement codes.
Findings pushed to the governance tool that actually revokes access.
The REVEAL platform identity analytics runs on, and Gurucul’s analyst-assist layer.
Where identity analytics sits.
The analyst-assist layer.
Want a live, India-context walkthrough for your environment?
Book a guided demo →Here’s what genuinely sets Gurucul Identity Analytics apart (and where an IGA suite may fit better).
Organisations grant access well and revoke it poorly. As people move through roles, access is added at each step and almost never removed, so long-tenured staff hold the union of every role they’ve had. No single grant was a mistake, but the aggregate is highly exploitable and invisible to one-at-a-time reviews.
Managers handed two hundred entitlement names in system notation approve them all, producing an audit trail that proves nothing. Risk scoring asks instead: here are the eleven genuinely dangerous entitlements — are these still needed? A manager can answer that, and the evidence means something to a regulator.
Unused access is the ideal target: misusing it shows no deviation because there’s no pattern of legitimate use. High-privilege entitlements unused for a year are both the easiest to remove without disruption and the most valuable to an attacker — and removing them rarely meets business resistance.
Running on the same platform as the SIEM and UEBA, access risk and detection share one picture of your users. When behavioural analytics flags someone, the analyst sees at once whether the access used was dormant, excessive or recently accumulated — turning an ambiguous score into a decision.
Identity Analytics tells you which access is risky and gives evidence. It doesn’t run joiner-mover-leaver, provision accounts or own certification campaigns. It complements an IGA platform like SailPoint, Saviynt or One Identity; without one, it won’t become one. TechBag sells IGA products too.
Choose Identity Analytics when you can list access but not say which is dangerous, and a regulator expects meaningful review — especially Indian BFSI under RBI and SEBI, alongside the SIEM. Don’t make it your first identity purchase; fix provisioning and JML first, or it just describes chaos accurately.
Start with the applications an examiner asks about: core banking, payments, treasury and the directory. Focus speeds evidence.
Load each system’s accounts and entitlements with usage data, so scoring can tell dormant access from access people rely on.
Remove orphaned accounts and long-dormant privileged access first: the easiest wins and quickest proof the scoring works.
Replace line-by-line certification with risk-ranked review, and compare revocation rates before and after.
Keep dated decisions with named owners, so when RBI or SEBI ask how access is governed, the record answers.
Modelled on Gartner Peer Insights structure. *Counts and breakdowns are illustrative pending verified review collection.
“Our quarterly review used to be a manager approving 200 lines. Now they see twelve risky ones with usage beside them, and they actually revoke.”
“The dormant-privilege report paid for the pilot. Admin rights nobody had used in a year came off in a week without a single complaint.”
“It will not provision anything. We still run our IGA suite; this tells it what to remove and gives audit the reasoning.”
“Connectors for our in-house applications took longer than the licence approval. Budget that integration work honestly.”
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 identity analytics and security-analytics market — tap any vendor to see why it sits where it does.
Analyst standing against where the platform is allowed to run — the pair that decides a regulated Indian shortlist.
2025 MQ Leader — and the only Leader we sell that self-hosts.
How much of SIEM, UEBA and response share one data model, against how much of the platform you must run yourself.
One data model — SIEM, UEBA, identity and NTA.
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.
The identity-analytics field — honest lanes. IGA suites own provisioning and certification workflow; Gurucul’s edge is risk scoring tied to behaviour. Many buyers need both, and we sell both.
| Dimension | Gurucul | Securonix | Exabeam | Microsoft Sentinel | Splunk ES |
|---|---|---|---|---|---|
| 2025 Gartner MQ | Leader — first year, after 3 as Visionary | Leader, 6 consecutive years | Leader, 6th time | Leader | Leader, 11th consecutive |
| Self-hosted / on-premises | YES — SaaS, cloud or self-hosted per Gartner | No — control plane is always their cloud | Via LogRhythm, a second platform | Cloud-only on Azure | Yes, and priced accordingly |
| Pricing axis | Per asset / per user, OR data volume / EPS | GB/day in tiered bands | GB ingested per day (2023 list) | Per GB ingested per day | Ingest or workload — the priciest here |
| Behavioural analytics | The founding capability, built 2010 | The founding capability | The founding capability | UEBA included | Available, add-on heritage |
| India data residency | Self-hosted: yours. No vendor India region found | BYO-AWS/Snowflake can hold data in India | Self-hosted via LogRhythm | Azure India regions available | Self-hosted: yours to place |
| Vendor scale | Bootstrapped boutique — no war chest | VC-backed, ~450 engineers in India | Post-merger with LogRhythm | Microsoft | Cisco-owned |
| Analyst breadth | Gartner-specific — absent from 2025 Forrester Wave | In both Gartner and Forrester | In both | In both | In both |
| The thing to plan around | Air-gap unverified; confirm the pricing axis | No air-gap at all; 120% default overage | Two platforms post-merger | Azure portal retires 31 Mar 2027 | Untuned, it is the costliest log archive there is |
| Best fit | On-premises mandates needing an analyst-recognised product | Cloud-accepting estates wanting retention solved | UEBA-led SOC, or on-prem via LogRhythm | Microsoft estates with E5 | Engineers who will build with it |
Honest fit signals — because the fastest way to lose your trust is to pretend one product wins every scenario.
Gurucul Identity Analytics is one of 36 SIEM & log management products TechBag carries. The SIEM & Log Management guide narrows them to a shortlist and shows the reasoning. →
Gurucul can meter per asset or per user as an alternative to per-gigabyte ingest. That is the comparison worth modelling, because it is the one that changes behaviour: on an ingest-priced SIEM every improvement in logging coverage raises the invoice, so teams quietly stop collecting the sources that would have caught the intrusion. Move both sliders — the assets you would license, and the daily ingest an ingest-priced SIEM would charge you for. The point is not the exact number, since Gurucul is quote-only. It is the shape: asset counts change slowly, log volume only ever goes up. Indicative Indian-market rates.
If the saving reads zero, the ingest-priced SIEM is genuinely cheaper at your ratio and you should say so internally rather than force the comparison. And remember the precision that matters here: Gurucul offers per-asset pricing as an alternative to per-GB, not instead of it — data-volume and EPS options exist on the same list. Which axis you land on is negotiated, so make it a clause rather than an assumption.
Identity Analytics is quote-only; confirm in writing whether it is licensed standalone or as a module on a REVEAL entitlement. The scope question matters more than the price question: this is analytics, not identity governance. It tells you which access is risky and evidences it. It does not run your joiner-mover-leaver workflow, provision accounts or own certification campaigns end to end — so it complements an IGA platform rather than replacing one. TechBag sells IGA products too, and we will tell you which problem you actually have. INR with GST.
One identity model
Analytics, not IGA
Why BFSI buyers look here
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.
Which applications hold our regulated data, and are they all in the first phase?
Which of our in-house applications have a connector, and who builds the rest?
Can we feed activity for each system, so dormant access is measured rather than guessed?
How will findings reach our IGA or ticketing tool for revocation?
Will managers see risk and usage, or the same entitlement codes as today?
Does discovery cover privileged accounts outside our PAM vault?
What report will we show RBI or SEBI, and has our auditor seen a sample?
Must identity data stay on our infrastructure, and is self-hosting in the quote?
Is Identity Analytics quoted standalone or as a module on a platform entitlement?
Who owns acting on findings once the first clean-up is done?
Scope it against your IGA, find your dormant high-risk access, or get an honest analytics-vs-IGA comparison — in INR/GST.
Stats, ratings, review counts and pricing are illustrative and sourced from public materials; verify before purchase.