Talk to us
by SecuronixTechBag Intel Page

Securonix UEBA

A stolen credential does nothing malformed — Securonix UEBA baselines each user and entity and scores drift from it — the sole way to catch an intruder who logs in legitimately and stays within permissions.

The founding capabilityPeer groups, not global thresholdsService accounts too, not just people

Buy through TechBag

Same software. Better outcome — at a lower cost.

Right-fit discoveryBest price & discountsImplementation & rolloutRenewals & licence mgmtTier-1 support desk
Book a discovery call →

Free · 15 minutes

Trusted by 500+ enterprises across India

How it’s rated

Full scoreboard ↓
Detection heritage
built the SIEM around it
Founding capability
Insider threat
the pure form of the problem
Strongest use case
Time to value
baselines need weeks to be trusted
Slow by design
Dependency
it exposes yours, not fixes it
Identity data quality

Data residency & processing — two different questions

Where data can live

BYO-AWS or BYO-Snowflake

Your own account holds the data lake, in an India region if you choose. ~450 Securonix engineers sit in Bangalore and Pune.

The hard limit

No air gap, ever

The analytics control plane is always Securonix’s cloud. BYO changes where data rests, not who operates the platform.

These are two different obligations and they lead to different vendors. “Data must stay in India” — BYO-Snowflake in an India region can answer that. “Must be air-gapped” — nothing Securonix offers answers it; see LogRhythm SIEM or Elastic Security. Get your compliance team to state which one, in writing, before shortlisting.

Quick answer

Securonix UEBA — user and entity behaviour analytics — is the capability the company was founded on, and the reason its SIEM detects a class of attack that rule-based platforms structurally cannot. The problem it solves is specific. Rules detect malformed things: a known-bad hash, an exploit signature, a connection to a flagged address. But an attacker holding valid stolen credentials does nothing malformed. They log in correctly, from a plausible location, using an account genuinely entitled to what it touches. Every individual action is permitted. There is no rule to break, so there is no alert to fire — and this is not an edge case, it is how a large share of real intrusions proceed, because credential theft is cheaper than exploitation. UEBA asks a different question: instead of 'is this action allowed?' it asks 'is this normal for this account?' It builds a behavioural baseline for every user and entity — machines, service accounts and applications included — from observed activity: working hours, systems touched, data volumes moved, access patterns. Deviation accumulates into a risk score. Peer-group baselining is what stops this drowning in noise: a finance analyst opening the payroll system is unremarkable when every other finance analyst does the same; the identical access by someone in facilities is not. This is also the strongest insider-threat capability in the category, because an insider is the pure form of the problem — legitimate credentials, legitimate access, illegitimate intent. Two honest points. It is delivered as part of the cloud-native platform, so the no-air-gap constraint applies here too. And behavioural models need eight to sixteen weeks of observation before their output is trustworthy — this is not a capability that works on day one. Read more ↓ Show less ↑
Part 01 · Orient

The Securonix platform family

This page covers Securonix UEBA — behavioural analytics (UEBA). The other pillars:

Quick facts

30-second orientation
Product
Securonix UEBA
Heritage
Securonix's founding capability, since 2008
Delivery
Within Unified Defense SIEM — not a separate meter
Detection basis
Behavioural deviation, not signatures
Baselining
Individual AND peer-group
Entities covered
Users, machines, service accounts, apps
Scoring
Accumulated risk over time, not per-event
Primary use case
Insider threat and credential compromise
Time to value
8–16 weeks of baselining before it is trusted
The prerequisite
Clean identity data — it exposes yours
Part 02 · Learn

Understand behavioural detection before you buy it

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

What is it?

Analytics that learn how each user and entity normally behaves, then score deviation. It detects attacks that break no rule — an intruder using valid stolen credentials, or an insider misusing access they legitimately hold.

Rules-only detection vs Securonix UEBA — the honest table

What behavioural baselining catches that a rulebook structurally cannot.

DimensionRules onlySecuronix UEBA
Detection basisKnown-bad patterns written in advanceA learned baseline per user and entity
Stolen credentialsA valid login matches nothingThe pattern is wrong, so it scores
ThresholdsOne global thresholdPeer groups — compared with similar roles
Service accountsRarely watchedBaselined like people
Insider misusePermitted actions passUnusual access or volume climbs the score
Time to valueDay one, for known-bad8–16 weeks of baselining first
Honest caveat—Bounded by your identity data quality
Best fit—Insider and compromised-account exposure

UEBA needs clean identity data and weeks of baselining before its scores deserve trust.

Under the hood

The five pieces of the platform

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

01
What normal looks like

Behavioural baseline

Model

Observes activity per user and entity over time to establish expected patterns: hours, systems, volumes, access paths. The baseline is individual, so an unusual-for-you action registers even when it is common across the organisation. Requires a genuine observation window before it means anything.

02
Normal for people like you

Peer-group analysis

Context

Compares each entity against a dynamically constructed peer group rather than a global average. This is what suppresses the false positives that sink naive anomaly detection — routine behaviour for a role stays quiet, the same behaviour from outside that role does not.

03
Not just human users

Entity coverage

Scope

Baselines machines, service accounts and applications alongside people. Service accounts matter disproportionately: they hold broad standing privilege, rarely change behaviour legitimately, and their compromise is a common and under-monitored path.

04
Accumulation, not triggering

Risk scoring engine

Score

Deviations add to a running risk score per entity instead of firing an alert each time. A slow chain of individually unremarkable actions surfaces as a rising score, which is precisely the pattern rule-based detection misses.

05
The story, assembled

Analyst timeline

Investigate

Presents accumulated behaviour as a chronological narrative for the entity, with underlying events attached. Because UEBA and the log data share one platform, the analyst moves from score to raw evidence without leaving the investigation.

A baseline per user and entity, compared against peers — detection for the session where nothing is technically forbidden.

Part 03 · Evaluate

Twelve capabilities. Baseline, compare, score.

Securonix UEBA learns normal behaviour for each user and entity, compares it against peer groups, and scores the deviation that rules cannot describe. Here is what is inside.

Collect
Identity

Identity telemetry ingest

Consumes authentication, directory and access-management data as the behavioural substrate.

Collect
Entity

Non-human entity tracking

Baselines service accounts, machines and applications, not only human users.

Collect
Context

Business context enrichment

Attaches role, department and joiner-mover-leaver status to sharpen what counts as anomalous.

Collect
Access

Access pattern capture

Records which systems and data each entity habitually reaches, and how often.

Detect
Baseline

Individual baselining

Learns each entity's own normal rather than applying a shared threshold.

Detect
Peers

Peer-group comparison

Judges behaviour against dynamically built peer groups to suppress role-normal noise.

Detect
Risk

Cumulative risk scoring

Accumulates deviation into a rising score instead of firing on isolated events.

Detect
Insider

Insider threat detection

Surfaces misuse by people whose access is entirely legitimate.

Detect
Credential

Compromised account detection

Flags valid-credential misuse where no rule is broken and no signature matches.

Detect
Exfil

Data movement anomaly

Detects volume and destination patterns inconsistent with the entity's history.

Respond
Timeline

Entity investigation view

Assembles scored behaviour into a chronological narrative with evidence attached.

Respond
Prioritise

Risk-ranked queue

Orders analyst attention by accumulated entity risk rather than alert arrival time.

See it, don’t just read it

Watch Securonix UEBA in action

Behaviour analytics, AI-driven hunting, and the platform it runs on.

Securonix (official)·Concept

Solving Critical Security Problems with Behaviour Analytics

Behavioural detection, explained by Securonix.

Securonix (official)·Platform

Securonix Unified Defense SIEM Overview Demo

Where UEBA sits in the platform.

Securonix (official)·Hunting

Hunting the Unknown: AI-Powered Analytics

What behavioural analytics surfaces.

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

Book a guided demo →
Why Securonix UEBA

Catch the login that breaks no rule.

Here’s what genuinely sets Securonix UEBA apart — and what it needs from you first.

01

Stolen credentials do nothing malformed

This is the whole argument, and it is worth stating without hedging. Rule-based detection works by recognising things that are wrong: a signature, a known-bad destination, a malformed request, a policy violation. It is genuinely good at that. But an attacker who has bought or phished working credentials is not doing anything wrong in that sense. They authenticate correctly. They come from an address that looks reasonable. They access systems the account is entitled to access. Every step passes every check, because every step is permitted. There is no rule you can write that catches this without also catching the legitimate user, which is why organisations with excellent rule coverage still get breached through credential theft and still find out months later. Behavioural analytics is the only detection approach that engages with this properly, because it stops asking whether the action is allowed and starts asking whether it is characteristic. The account is entitled to open that share — but this account has never opened it, at this hour, at this volume, in three years of observed history.

02

Peer groups are what make anomaly detection usable

Naive anomaly detection fails in a predictable, well-documented way: everything is anomalous to something, so it alerts constantly, analysts stop reading it, and the capability is switched off within two quarters. Peer-group baselining is the mechanism that prevents this, and it deserves more attention than it usually gets in evaluations. Securonix constructs peer groups dynamically and evaluates behaviour against them, not against a global threshold. The effect is to encode organisational reality into the detection logic. When a member of the finance team opens the payroll system, that is unremarkable — their peers do it daily, and scoring it would generate noise forever. When someone from facilities opens the same system, the peer comparison makes it immediately conspicuous even though the raw action is identical. Same event, entirely different meaning, and only peer context distinguishes them. This is also why the quality of your identity and HR data matters so much: peer groups built on a stale directory produce comparisons that mean nothing.

03

Insider threat is the case that only behaviour addresses

Every other detection approach struggles with insiders for a structural reason: the insider is not evading your controls, they are using them. A departing employee copying a client list has valid credentials, legitimate access to the data, and a business reason to be in the system. Perimeter tooling sees nothing. Signature detection sees nothing. DLP may catch the transfer if the policy happens to cover that route, and frequently it does not. What is visible is the behavioural shift: access frequency rising, breadth expanding beyond the usual working set, volume moving at unusual hours, activity in systems adjacent to but outside the person's actual role. Individually each is explicable. Together, scored over weeks, they form a shape. Combined with joiner-mover-leaver context, the notice period becomes a period of heightened sensitivity rather than a blind spot. Handle this carefully: insider monitoring carries real employee-relations and privacy weight, and deployment should involve HR and legal from the start, not after the first alert.

04

It covers entities, not just people

The 'E' in UEBA is routinely undersold and it may be the most operationally valuable half. Service accounts are the softest target in most estates and the least watched. They hold broad standing privilege because they were provisioned generously years ago. They rarely have an owner who would notice a change. Their credentials sit in configuration files, scripts and CI pipelines, and rotate rarely if ever. And crucially, their legitimate behaviour is extremely consistent — a service account does the same thing on the same schedule, which makes deviation unusually easy to spot. A backup account that suddenly enumerates a directory, an integration account authenticating from a new source, a scheduled job running at an hour it has never run: these are strong signals precisely because the baseline is so tight. If your evaluation focuses only on user monitoring you are examining half the product, and arguably the less differentiated half.

05

The honest caveat — cloud-only, slow to trust, and data-quality dependent

Three limitations, stated plainly. First, Securonix UEBA is delivered within the cloud-native platform and inherits its constraint — there is no air-gapped deployment. If your mandate rules out SaaS entirely, this capability is unavailable regardless of how well it fits, and you should evaluate Exabeam's UEBA, available self-hosted through LogRhythm SIEM. Second, behavioural detection is slow to become trustworthy. Models need eight to sixteen weeks observing normal activity before their output should be acted upon, and early alerts will be noisy. Teams that respond by suppressing aggressively train away the sensitivity they paid for; teams that expect day-one value conclude the product does not work. Neither is a product fault, but both are common. Third, output quality is bounded by identity-data quality. Peer groups built on a stale directory, unowned service accounts and inaccurate role data produce comparisons that mean nothing. If your IAM hygiene is poor, fix that first — UEBA will otherwise amplify the mess rather than reveal it.

06

The honest positioning

Securonix UEBA is for organisations whose realistic threat model centres on credentials and people rather than malware — which, for most Indian enterprises with a meaningful workforce and a modern cloud estate, it does. It is strongest where insider risk is a board-level concern, where privileged and service accounts are numerous, and where a SOC exists to investigate what behavioural scoring surfaces. It is weak value where the security team is too small to act on nuanced signals, where identity data is unreliable, or where you need results this quarter. Against Exabeam — the only true peer, with comparable behavioural heritage — the decision usually turns on two things rather than model quality: Exabeam retains a self-hosted path that Securonix does not, and both meter on GB ingested per day, so price is band against band on your measured volume. Worth actually calculating. TechBag sells both.

Peer groups
Not global thresholds
8–16 weeks
Baselining before trust
Identity data
Its quality bounds the output
Proof, not promises

The numbers behind the platform

2 baseline levels
Individual and peer-group comparison
— Securonix docs
4 entity classes
Users, machines, service accounts, applications
— Securonix docs
8–16 weeks
Baselining before output should be trusted
— TechBag guidance
6×
Gartner MQ Leader placements for the platform
— Gartner 2025
365 days
Behavioural history available hot for investigation
— Securonix docs
0 signatures
Required to detect valid-credential misuse
— Behavioural model

What your Securonix UEBA rollout looks like

Weeks 1–4Prepare

Identity data readiness

Audit directory accuracy, service-account ownership and role data BEFORE deployment. Peer-group quality is bounded by this. Engage HR and legal on insider monitoring scope now — the governance conversation is harder once alerts are firing.

Weeks 3–8Deploy

Telemetry connection

Connect identity, authentication, endpoint and data-access sources. These carry the behavioural signal; volume from elsewhere adds cost without adding baseline quality. Confirm service accounts and machine identities are in scope.

Weeks 6–16Observe

Baselining and calibration

Let models observe. Expect noise and resist over-suppression — this is where value is most commonly destroyed by impatience. Validate peer groups against how the organisation actually works, not the org chart.

OngoingRun

Operationalise

Move from alert review to risk-ranked investigation. Establish a documented process for insider cases covering HR and legal involvement before you need it. Re-examine peer groups after every reorganisation.

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
Insider detection4.7
Peer-group accuracy4.4
Time to value3.6
Alert explainability4.2
5★
52%
4★
32%
3★
11%
2★
4%
1★
1%

Quick poll — what’s driving your evaluation?

Talk to an advisor
Financial Services
“It found a compromised service account that had been active for months. Nothing it did broke a rule, which is exactly why nothing had flagged it.”
SOC Lead
Financial Services
IT Services
“Peer grouping is what made this workable. Our previous anomaly tool alerted on everything and we ended up ignoring it entirely.”
Security Analyst
IT Services
Professional Services
“Insider case during a notice period. The behavioural timeline was what made the investigation defensible to HR and legal.”
Head of Risk
Professional Services
Manufacturing
“Six weeks of noise before the baselines settled. Nobody warned us properly and we nearly abandoned it in month two.”
SOC Manager
Manufacturing
Healthcare
“Our directory data was worse than we admitted. The peer groups were meaningless until we fixed identity hygiene first.”
IAM Lead
Healthcare
Logistics
“Service account monitoring was the unexpected win. We did not buy it for that and it is where most of our value came from.”
Infrastructure Manager
Logistics
Retail
“Strong analytics, but it assumes you have analysts. The scores mean nothing if nobody investigates them.”
CISO
Retail
Telecom
“We ran it against Exabeam on the same 90 days of logs. Both are GB-metered, so the decision came down to which timelines our analysts trusted.”
Security Architect
Telecom
The market maps

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 SIEM market — tap any vendor to see why it sits where it does.

Grid 01 · The market

TechBag SIEM Grid

Execution strength vs product vision — the classic market map, minus the paywall.

ChallengersLeadersSpecialistsVisionaries
SecuronixThis page

Leader six consecutive times — the longest current run.

Grid 02 · The architecture

Capability × Flexibility

How much each platform’s behavioural analytics does out of the box vs how freely you can deploy it and control the bill.

Flexible, lighterCapable and flexibleConstrained and lighterCapable but constrained
SecuronixThis page

Retention and behaviour solved; no air-gap answer.

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

Securonix UEBA vs the field

Every column has behavioural analytics of some kind; Securonix’s edge is that UEBA is its founding capability rather than an add-on. Where deployment must be self-hosted, the others win.

DimensionSecuronixExabeamSplunk Enterprise SecurityMicrosoft SentinelElastic Security
PositionUEBA-led cloud SIEM on a Snowflake lakeThe other UEBA-led vendorThe reference SIEMSIEM for Microsoft estatesSearch-engine-native SIEM
Pricing axisGB/day, tiered bands + commitmentMonitored users + sourcesIngest or workload — historically costlyPer GB ingested per daySubscription tier + resources
Hot retention included365 days searchable as standardBy agreementPriced by volume and term90 days, then chargedYours to configure
Behavioural analyticsThe founding capabilityThe founding capabilityAvailable, add-on heritageUEBA includedEntity risk scoring
Self-hosted / air-gappedNone — control plane is always their cloudLogRhythm SIEM, genuinely on-premCloud, on-prem or hybridSaaS only, on AzureSelf-managed, even air-gapped
Data custody optionBYO-AWS / BYO-Snowflake — your lake, their analyticsFully self-hosted availableFully self-hosted availableMicrosoft-operatedFully self-managed
Analyst standing (SIEM MQ 2025)Leader, six consecutive timesLong-running MQ presenceLeaderLeaderVisionary, not Leader
Retrospective huntingATS — automatic on new intelligenceManual huntsManual hunts, strong searchManual huntsManual hunts
AI in the SOCSam — priced on measured analyst workNova — seven named agentsCisco AI AssistantSecurity Copilot + MCPElastic AI Assistant
The thing to plan aroundThree CEOs in two years; 120% default overageTwo platforms post-mergerCisco integration reshaping roadmapAzure portal retires 31 Mar 2027You operate it unless you buy Cloud
Best fitCloud-accepting estates wanting retention solvedOn-prem mandates, or UEBA-led timelinesEngineers who will build with itMicrosoft-standardised estatesAir-gapped, or existing ELK
● Strong◐ Partial / add-on○ Weak / externalCompiled from public vendor materials and review platforms for orientation; verify before relying on it.

Does Securonix UEBA fit you?

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

Choose Securonix UEBA if…

  • ✓Insider risk or compromised accounts are the threats that keep you up
  • ✓Your identity data is clean enough to build meaningful peer groups
  • ✓You can give the models eight to sixteen weeks before judging them
  • ✓You want behavioural scores next to the raw events, or over a SIEM you keep

Choose Exabeam if…

  • ✓You need genuine self-hosting (LogRhythm SIEM), or its GB/day tiers price your ingest lower on a like-for-like quote

Choose Splunk if…

  • ✓You have engineers who will build with it and want the deepest content and largest talent pool

Choose Microsoft Sentinel if…

  • ✓Your estate is Microsoft — first-party logs ingest free and SIEM shares the Defender queue

Choose Elastic Security if…

  • ✓You need air-gapped deployment, which no Securonix configuration can provide

Securonix UEBA is one of 35 SIEM & log management products TechBag carries. The SIEM & Log Management guide narrows them to a shortlist and shows the reasoning. →

Do the math

How much of your volume belongs in the cheap tiers?

Securonix meters on GB per day, and the lever you actually control is Data Pipeline Manager: one entitlement flexes across three tiers — Analytics at 1.0×, Investigation at 0.5×, Basic at 0.25×. Route firewall noise, verbose DEBUG logging and duplicated sources to the cheaper tiers and your effective capacity rises substantially. Do this classification before you sign, not during onboarding — it is much harder to renegotiate a band downward later. Illustrative rates; Securonix is quote-only.

300
10 GB3,000 GB
35%
0%70%

One warning that matters more than the saving: UEBA can only baseline the behaviour it can see. Filter identity, VPN, endpoint or data-access sources out to control this bill and the peer groups lose exactly the signals that expose a compromised account. Keep identity and access telemetry at the Analytics tier. Illustrative only; Securonix is quote-only.

Everything at the Analytics tier
₹96,00,000
Saved by tiering with DPM
₹21,84,000
≈ ₹1,09,20,000 over 5 years
Turn this into a real quote →
Pricing & plans

Three ways to consume it

Securonix UEBA is included in the Unified Defense SIEM entitlement, and Securonix also offers it on top of an existing SIEM you keep — quote-only either way, with no published rate. Inside the platform, the commercial question is the GB/day band rather than a per-user analytics licence. What it costs you elsewhere is preparation: peer-group quality is bounded by your identity data, and the models need eight to sixteen weeks observing normal before their output should be acted on. TechBag quotes in INR with GST.

Two ways to buy it

Quotein the platform, or standalone

Included in Unified Defense SIEM

  • Included in the Unified Defense entitlement
  • Also offered over an existing SIEM you keep
  • Inside the platform, scores sit next to the raw events

What it needs from you

Prerequisiteidentity data quality

The dependency nobody prices

  • Peer groups built on a stale directory mean nothing
  • Service accounts need owners before they need baselines
  • Fix IAM hygiene first — it improves posture regardless

Time to trust

8–16weeks of baselining

Plan for this

  • Models must observe normal before deviation means anything
  • Early alerts WILL be noisy — do not over-suppress
  • Teams that judge it in week two decide on bad evidence

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.

Get Quote
Evaluation kit

The 8 questions to ask before buying UEBA

Take this into your next vendor call — including ours.

1
Deployment

Is cloud acceptable, given UEBA is delivered within the SaaS platform with no air-gap option?

2
Identity data

Is your directory accurate enough that peer groups will mean anything?

3
Service accounts

Do you have an inventory of service accounts and their owners?

4
Governance

Have HR and legal agreed the scope and handling of insider monitoring?

5
Analyst capacity

Who investigates a rising risk score, and within what timeframe?

6
Baselining

Has the business accepted 8–16 weeks before output is trusted?

7
Comparison

Have you priced Exabeam's GB/day tiers against Securonix's bands on the same measured ingest?

8
Privacy

Does your monitoring scope comply with employment contracts and the DPDP Act?

FAQ

Questions buyers ask

The distinction is not about sophistication — it is about what question each approach is capable of asking. A correlation rule encodes something you already know to be suspicious: five failed logins then a success, access from two countries within an hour, a process spawning an unexpected child. These are valuable and you should have them. But every rule is a hypothesis someone wrote in advance, which means rules only cover attacks somebody anticipated and expressed. Novel sequences pass through. More fundamentally, rules evaluate whether an action is permitted. When an attacker holds valid credentials, every action is permitted. They authenticate with the right password, from a plausible location, and access data the account is entitled to access. There is no rule that catches this without also catching the real user doing their job, because at the level a rule operates, the two are identical. Behavioural analytics asks whether the action is characteristic. It builds a model of what this specific entity normally does — hours, systems, volumes, paths — and measures deviation. The account is entitled to that repository, but this account has never opened it in three years of observation, and it is doing so at 2am while moving ten times its usual volume. Nothing is forbidden; everything is out of character. The second structural difference is accumulation: a rule fires on a single matching event, while behavioural scoring accumulates deviation over time, so a chain of individually unremarkable actions surfaces as rising risk. That matters because real intrusions look like that. Use both — rules for known-bad, behaviour for the rest. Anyone selling one as a replacement for the other is overselling.

Ready to evaluate Securonix UEBA?

Check your identity data is ready, plan the baselining window, or compare it with Exabeam’s behavioural analytics — in INR/GST.

Stats, ratings, review counts and pricing are illustrative and sourced from public materials; verify before purchase.