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Gurucul Identity Analytics

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.

Risk, not inventoryRBI / SEBI access evidenceAnalytics — not an IGA suite

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How it’s rated

Full scoreboard ↓
The question
which access is dangerous
Risk, not inventory
India fit
access governance you can demonstrate
RBI / SEBI evidence
Integration
shared with the SIEM and UEBA
One identity model
Scope limit
complements governance, does not replace it
Analytics, not IGA

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

Gurucul Identity Analytics scores entitlements and access patterns for risk rather than listing them, surfacing excess privilege, dormant high-risk access and permissions staff accumulate across role changes — risk a tick-box review misses. Gurucul publishes India material mapped to SEBI’s CSCRF, useful RBI and SEBI evidence. It runs on REVEAL. The honest limit: it is analytics, not IGA, so it complements a governance suite rather than replacing one. Read more ↓ Show less ↑
Part 01 · Orient

The Gurucul platform family

This page covers Gurucul Identity Analytics — the access-risk analytics. The other pillars:

Quick facts

30-second orientation
Product
Gurucul Identity Analytics (IdA) — on the REVEAL platform
Vendor
Gurucul — founder-CEO Saryu Nayyar, still in post
The question it answers
Which access is DANGEROUS, not merely which exists
Finds
Excess privilege · dormant high-risk access · accumulated permissions
India relevance
RBI and SEBI access-review evidence; SEBI CSCRF material published
Shares
One identity model with the SIEM and UEBA
Deployment
Follows the platform: SaaS, cloud or self-hosted
Data residency
Yours if self-hosted; no vendor India region found
Data processing
Same platform — access risk and detection reason over one model
What it is NOT
Not IGA — it does not provision accounts or run JML workflow
Buy in India via
TechBag — INR, GST, scoped against your IGA if you have one
Part 02 · Learn

Understand SIEM economics before you buy it

Most product pages skip this. We start here — so you buy a capability, not a buzzword.

What is it?

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.

Tick-box access reviews vs Gurucul Identity Analytics — the honest table

What risk-scoring entitlements changes about access governance.

DimensionSpreadsheet access reviewIdentity Analytics
Question askedWho has access?Which access is risky?
Reviewer’s viewHundreds of cryptic entitlement namesRisk-ranked items with usage beside them
Dormant accessRe-approved every quarterFlagged for removal
Accumulated privilegeInvisible across role changesSurfaced as access outliers
Orphaned accountsFound at auditDetected and scored continuously
Detection linkNoneShares 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).

Under the hood

The six pieces behind Gurucul Identity Analytics

Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.

01
Accounts and entitlements

Identity & access ingestion

Collect

Pulls accounts, groups, roles and entitlements from directories, IAM and business applications, alongside the activity showing whether each entitlement is actually used.

02
Who can do what

Access metadata

Model

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.

03
Out of line with peers

Access outlier analytics

Detect

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.

04
Predictive risk scores

Risk scoring

Prioritise

Gurucul applies anomaly detection and predictive risk scoring to accounts and entitlements, so excess, dormant and orphaned access is ranked rather than merely listed.

05
Hidden admin rights

Privileged access discovery

Discover

Discovery surfaces privileged accounts and rights sitting outside a PAM vault — what Gurucul describes as closing privileged-access blind spots.

06
Evidence and clean-up

Review & IAM loop

Act

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.

Part 03 · Evaluate

Ten capabilities. Discover, score, clean up.

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.

Collect
Accounts

Account and entitlement discovery

Inventories accounts, roles and entitlements across directories and applications.

Collect
Usage

Access-usage correlation

Pairs each entitlement with whether, and how, it is actually used.

Collect
Privileged

Privileged access discovery

Finds admin rights and privileged accounts that sit outside the vault.

Detect
Outliers

Access outlier detection

Flags entitlements that no peer in the same role holds.

Detect
Dormant

Dormant high-risk access

Surfaces powerful access unused for months — the easiest risk to remove.

Detect
Orphans

Orphaned accounts

Finds accounts whose owner has left, or never existed in HR records.

Detect
Excess

Excess privilege

Measures access beyond what the role needs, accumulated across moves.

Detect
Scoring

Predictive risk scores

Ranks identities and entitlements by likelihood of misuse.

Respond
Reviews

Risk-based access reviews

Reviewers see risk and usage, not cryptic entitlement codes.

Respond
Loop

Closed-loop IAM

Findings pushed to the governance tool that actually revokes access.

See it, don’t just read it

Watch the platform behind Gurucul Identity Analytics

The REVEAL platform identity analytics runs on, and Gurucul’s analyst-assist layer.

Gurucul (official)·Platform

Gurucul REVEAL — Platform Overview

Where identity analytics sits.

Gurucul (official)·AI

Gurucul AI SOC Analyst

The analyst-assist layer.

Want a live, India-context walkthrough for your environment?

Book a guided demo →
Why Identity Analytics

Review the access that actually carries risk.

Here’s what genuinely sets Gurucul Identity Analytics apart (and where an IGA suite may fit better).

01

Accumulated privilege is the risk nobody reviews

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.

02

Risk scoring changes the question managers are asked

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.

03

Dormant access is where the risk concentrates

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.

04

It shares an identity model with your detection

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.

05

The honest limit: this is analytics, not identity governance

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.

06

The honest positioning

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.

Risk, not inventory
Which access is dangerous
Dormant access
Found and scored
Not IGA
Complements governance
Proof, not promises

The numbers behind the platform

2010
Gurucul founded — UEBA was the starting point
— Company
2025
Named a Gartner MQ Leader (first year)
— Gartner 2025
4.49/5
Gartner Peer Insights across 109 reviews
— Peer Insights 2026
3 deployment models
SaaS, cloud or self-hosted — Gartner-confirmed
— Gartner 2025
1 platform
Shared data model across SIEM, UEBA, identity and NTA
— Gurucul
180 days
CERT-In retention, answerable by self-hosting
— CERT-In 2022

What your Gurucul Identity Analytics rollout looks like

Week 1Assess

Pick the systems that matter

Start with the applications an examiner asks about: core banking, payments, treasury and the directory. Focus speeds evidence.

Weeks 1–4Deploy

Connect entitlements and usage

Load each system’s accounts and entitlements with usage data, so scoring can tell dormant access from access people rely on.

Weeks 4–8Clean up

Clear the obvious risk

Remove orphaned accounts and long-dormant privileged access first: the easiest wins and quickest proof the scoring works.

Weeks 8–12Operate

Re-run reviews on risk

Replace line-by-line certification with risk-ranked review, and compare revocation rates before and after.

OngoingEvidence

Keep the evidence trail

Keep dated decisions with named owners, so when RBI or SEBI ask how access is governed, the record answers.

Verified reviews

The review scoreboard

Modelled on Gartner Peer Insights structure. *Counts and breakdowns are illustrative pending verified review collection.

4.3
260+ reviews*
86% would recommend
Deployment flexibility4.8
Cost control4.6
Search & hunting4.5
Out-of-the-box content3.7
5★
52%
4★
32%
3★
11%
2★
4%
1★
1%

Quick poll — what’s driving your evaluation?

Talk to an advisor
Banking
“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.”
Head of IAM
Banking
Insurance
“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 Risk Manager
Insurance
Financial Services
“It will not provision anything. We still run our IGA suite; this tells it what to remove and gives audit the reasoning.”
Identity Architect
Financial Services
NBFC
“Connectors for our in-house applications took longer than the licence approval. Budget that integration work honestly.”
CISO
NBFC
The market maps

Where everyone sits — the grids

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.

Grid 01 · The market

TechBag SIEM Grid — Standing × Deployment Freedom

Analyst standing against where the platform is allowed to run — the pair that decides a regulated Indian shortlist.

Flexible, unrankedRecognised, deployable anywhereNicheRecognised, cloud-bound
GuruculThis page

2025 MQ Leader — and the only Leader we sell that self-hosts.

Grid 02 · The architecture

The Convergence × Effort Map

How much of SIEM, UEBA and response share one data model, against how much of the platform you must run yourself.

Managed, loosely joinedConverged and managedAssemble it yourselfConverged, but you run it
GuruculThis page

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.

Part 04 · Decide

Gurucul Identity Analytics vs the field

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.

DimensionGuruculSecuronixExabeamMicrosoft SentinelSplunk ES
2025 Gartner MQLeader — first year, after 3 as VisionaryLeader, 6 consecutive yearsLeader, 6th timeLeaderLeader, 11th consecutive
Self-hosted / on-premisesYES — SaaS, cloud or self-hosted per GartnerNo — control plane is always their cloudVia LogRhythm, a second platformCloud-only on AzureYes, and priced accordingly
Pricing axisPer asset / per user, OR data volume / EPSGB/day in tiered bandsGB ingested per day (2023 list)Per GB ingested per dayIngest or workload — the priciest here
Behavioural analyticsThe founding capability, built 2010The founding capabilityThe founding capabilityUEBA includedAvailable, add-on heritage
India data residencySelf-hosted: yours. No vendor India region foundBYO-AWS/Snowflake can hold data in IndiaSelf-hosted via LogRhythmAzure India regions availableSelf-hosted: yours to place
Vendor scaleBootstrapped boutique — no war chestVC-backed, ~450 engineers in IndiaPost-merger with LogRhythmMicrosoftCisco-owned
Analyst breadthGartner-specific — absent from 2025 Forrester WaveIn both Gartner and ForresterIn bothIn bothIn both
The thing to plan aroundAir-gap unverified; confirm the pricing axisNo air-gap at all; 120% default overageTwo platforms post-mergerAzure portal retires 31 Mar 2027Untuned, it is the costliest log archive there is
Best fitOn-premises mandates needing an analyst-recognised productCloud-accepting estates wanting retention solvedUEBA-led SOC, or on-prem via LogRhythmMicrosoft estates with E5Engineers who will build with it
● Strong◐ Partial / add-on○ Weak / externalCompiled from public vendor materials and review platforms for orientation; verify before relying on it.

Does Gurucul Identity Analytics fit you?

Honest fit signals — because the fastest way to lose your trust is to pretend one product wins every scenario.

Choose Gurucul Identity Analytics if…

  • ✓You can list who has access but not which access is dangerous
  • ✓RBI or SEBI expect evidence you review access meaningfully, not ceremonially
  • ✓You already have an IGA platform this can add risk intelligence to
  • ✓Accumulated privilege across role changes is a known problem you cannot quantify

Choose Securonix if…

  • ✓Cloud is acceptable and you want the larger vendor with a six-year Leader run
  • ✓365 days of hot searchable data as standard matters to your investigations
  • ✓You accept there is no air-gapped or on-premises option in any configuration

Choose Microsoft Sentinel if…

  • ✓You are standardised on Microsoft 365 with E5 — first-party logs ingest free
  • ✓Azure India regions answer your residency question directly
  • ✓You accept cloud-only on Azure, and the portal migration by 31 Mar 2027

Choose Elastic or Wazuh if…

  • ✓You need a genuine air gap and have platform engineers to operate it
  • ✓You would rather trade analyst standing for deployment freedom and cost control
  • ✓Wazuh’s core is free under GPLv2; Elastic self-manages at the Basic tier

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. →

Do the math

Assets or gigabytes — which meter suits you?

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.

750
25010,000
150
10 GB3,000 GB

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.

An ingest-metered SIEM, at your GB/day
₹4,50,00,000
Saved on the per-asset meter
₹4,11,00,000
≈ ₹20,55,00,000 over 5 years
Turn this into a real quote →
Pricing & plans

Three ways to consume it

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.

On REVEAL

Quotepackaging to confirm

One identity model

  • Shares one identity model with the SIEM and UEBA
  • Access risk and detection reason over one picture
  • Get standalone-vs-module in writing

What it is NOT

—scope limit

Analytics, not IGA

  • Does not provision or deprovision accounts
  • Does not run joiner-mover-leaver workflow
  • Complements SailPoint, Saviynt or One Identity

India relevance

RBI / SEBIaccess-review evidence

Why BFSI buyers look here

  • Turns tick-box reviews into answerable questions
  • Gurucul publishes SEBI CSCRF material
  • The audit trail is worth as much as the findings

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 a discounted quote →

Get an India-ready quote

Tell us your requirements and current tools — we’ll model it against what you spend today.

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Evaluation kit

The 10 questions to ask every identity-analytics vendor

Take this into your next vendor call — including ours.

1
Scope

Which applications hold our regulated data, and are they all in the first phase?

2
Connectors

Which of our in-house applications have a connector, and who builds the rest?

3
Usage data

Can we feed activity for each system, so dormant access is measured rather than guessed?

4
IGA fit

How will findings reach our IGA or ticketing tool for revocation?

5
Reviewers

Will managers see risk and usage, or the same entitlement codes as today?

6
Privileged

Does discovery cover privileged accounts outside our PAM vault?

7
Evidence

What report will we show RBI or SEBI, and has our auditor seen a sample?

8
Deployment

Must identity data stay on our infrastructure, and is self-hosting in the quote?

9
Packaging

Is Identity Analytics quoted standalone or as a module on a platform entitlement?

10
Ownership

Who owns acting on findings once the first clean-up is done?

FAQ

Questions buyers ask

Gurucul lists Identity Analytics (IdA) as its own product sharing the REVEAL identity model with its SIEM and UEBA, but public material does not say whether it is a standalone licence or a platform module — ask at quote time. The shared model means an analyst sees at once whether flagged access was dormant, excessive or recently accumulated.

Ready to evaluate Gurucul Identity Analytics?

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.