A year of hot data as standard — Securonix Unified Defense SIEM keeps 365 days searchable on a Snowflake data lake, so the investigation that reaches back eleven months is a query rather than a restore ticket.
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How it’s rated
Full scoreboard ↓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
This page covers Securonix Unified Defense SIEM — the SIEM. The other pillars:
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
A cloud-native SIEM on a Snowflake data lake — ingestion, correlation, detection and response, with 365 days of hot searchable data included rather than sold as an upgrade.
What consolidation actually replaces, dimension by dimension.
| Dimension | No / separate AI tool | Securonix Unified Defense SIEM |
|---|---|---|
| Retention | 90 days hot, then cold archive | 365 days hot, searchable |
| Old data | Restore ticket, then wait | Query it in the same session |
| Detection basis | Rules you wrote in advance | Baselines, and scored deviation |
| Stolen credentials | Nothing malformed to match | Behaviour is wrong, so it scores |
| New intelligence | Someone remembers to hunt | ATS sweeps history automatically |
| Data custody | Vendor's lake, always | BYO-AWS or BYO-Snowflake available |
| Honest caveat | — | No air gap; overage defaults to 120% |
| Best fit | — | Cloud-accepting, insider-risk exposed |
The deployment-freedom answer — for the deepest out-of-the-box content, weigh Splunk (TechBag sells it).
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
Securonix stores ingested data in Snowflake on AWS rather than a proprietary index. Storage scales independently of the analytics tier, which is why a year of hot data is economically feasible rather than an expensive exception. Existing Snowflake customers can keep data in their own account under Bring Your Own Snowflake.
Collects, parses, normalises and filters telemetry before it reaches billable ingestion. Because the model prices GB/day, decisions made here directly determine the invoice. Treat it as a cost control, not just plumbing.
Runs signature and correlation rules alongside the behavioural models that form the UEBA capability, scoring entities on accumulated risk rather than firing on single events. This is the layer that catches credential misuse breaking no rule.
The cybersecurity mesh architecture tying detection, investigation and response together and integrating the pipeline manager. EON is the frame the other components hang from rather than a separate purchase.
Announced February 2026 with AWS on Amazon Bedrock AgentCore, the Mesh orchestrates specialist agents across triage, investigation and reporting, with Sam handling Tier 1 and Tier 2 work under human oversight. Priced separately on measured analyst productivity, not GB.
One workspace where people meet, make, and share — work moving in one place, not emailed between tools.
Sentinel collects, correlates and stores security telemetry — and the tier each table lands in is what sets your bill. Here are the five pieces that matter. Part of Defender XDR, managed in one portal, with Security Copilot AI.
Pulls telemetry from cloud, endpoint, network, identity and SaaS sources into one lake.
Drops or reroutes low-value events before they count against the GB/day meter.
Parses heterogeneous log formats into a consistent model so queries work across sources.
Runs analytics on your existing Snowflake estate, leaving data in your account.
Keeps a full year immediately searchable, with no restore step before investigation.
Baselines users and entities and scores deviation, catching valid-credential abuse.
Detection content maintained and delivered by Securonix rather than hand-built by you.
Links related signals across sources into a single scored entity timeline.
Re-hunts historical data automatically as new intelligence lands.
Automates Tier 1 and Tier 2 triage and investigation under human oversight.
Coordinates specialist AI agents across detection, investigation and reporting.
Produces incident and posture reporting aimed at governance audiences.
Endpoint protection, XDR and Security Copilot.
The platform, demonstrated by Securonix.
Why the data lake sits underneath.
The agentic layer, and what explainable means.
Want a live, India-context walkthrough for your environment?
Book a guided demo →Here’s what genuinely sets Elastic Security apart (and where Splunk or Sentinel may fit better).
Most SIEM deployments quietly compromise on retention. Thirty or ninety days stays hot and searchable; everything older goes to cold storage where retrieving it means a restore job, a ticket and a wait. That compromise is invisible until it matters — and it matters precisely when an intrusion turns out to predate your hot window, which is common, because dwell time in real breaches is routinely measured in months. Securonix keeps 365 days hot as standard, a direct consequence of putting data in Snowflake rather than a proprietary index: storage scales and prices independently of the analytics tier. In practice this means when you discover something in August, you can ask what that account was doing the previous October and get an answer in the same session rather than the same week. For Indian organisations working to CERT-In incident-reporting expectations, reconstructing a timeline quickly is the difference between a defensible report and an admission that you do not know.
Every SIEM billing on ingestion creates the same perverse incentive: the more you monitor the more you pay, so teams quietly stop sending logs and lose visibility exactly where they thought they had it. Securonix does not escape that arithmetic but handles it more openly than most. Ingestion is tiered, so the marginal rate falls as volume rises. Commitment plus pay-as-you-go lets you size a realistic baseline and absorb spikes without renegotiating mid-incident. And overage rates are negotiated before you sign rather than discovered on an invoice — which is the specific failure mode that soured a generation of buyers on ingestion pricing. One caveat sits underneath all of that, and it is the most commercially useful thing on this page: Securonix's own licensing guidelines default overage to 120% of your GB/day fee where the order form specifies no rate. Buyers who negotiate hard on the band and leave that line blank discover it during an incident month. Fix it in two lines of contract.
Analyst placement should never decide a security purchase, and any vendor leading with it is telling you what it lacks. But sustained placement means something different from a single appearance. Securonix has been named a Leader in the Gartner Magic Quadrant for SIEM six consecutive times, most recently 2025. The market over that period was brutal: Splunk acquired by Cisco, LogRhythm merged into Exabeam, IBM sold QRadar's SaaS assets to Palo Alto, Microsoft and Google entered hard from adjacent positions. Holding a Leader position across that much consolidation indicates a company that kept investing while the category reorganised around it. For a platform you will run for five to seven years and build operational muscle memory around, that continuity is worth more than any single feature comparison. It is not proof the product fits you — it is reasonable evidence the vendor will still be there.
Securonix started as a UEBA company and grew a SIEM around it, the opposite of how most of this market was built. The difference shows in what the platform treats as normal. A conventional SIEM evaluates events against rules and fires on a match; it is excellent at known-bad and blind to an attacker using valid credentials to do ordinary things in an unusual pattern. Securonix scores entities on accumulated risk over time, so an account that authenticates legitimately, then touches a repository it has never touched, then moves volume it has never moved, climbs a risk score without breaking a single rule. Because this lives in the core rather than a separate analytics product you license alongside, detections and log data share one context — the analyst investigating a behavioural alert has the raw events immediately to hand.
Securonix Unified Defense SIEM has no self-hosted or on-premises deployment. None. This is architectural rather than commercial: the product sits on Snowflake and AWS, and the Bring Your Own Snowflake programme changes where your data rests, not where the analytics run. If you are a public sector body, a bank under a supervisory direction requiring in-country self-managed infrastructure, or any organisation whose mandate rules out SaaS for security telemetry, stop here and evaluate Exabeam LogRhythm SIEM, Elastic Security, ManageEngine Log360, FortiSIEM, Kaspersky KUMA or Wazuh instead. Second caveat, smaller but real: pre-negotiated overages make the GB/day bill predictable, not cheap. Ingestion pricing still means telemetry growth is cost growth, and organisations that skip the pipeline-tuning work find out in year two. Third: leadership has changed three times in two years, which belongs in a roadmap conversation even though product direction has stayed consistent.
Securonix Unified Defense SIEM suits an organisation that has accepted cloud SaaS for security telemetry, values behavioural detection enough to build around it, and wants a year of investigable history without a cold-storage tax. It fits well where the SOC is small relative to the estate and needs analytics to do work headcount cannot. It fits badly, or not at all, where deployment location is dictated rather than chosen — and that constraint disqualifies it outright rather than making it a compromise. Against Exabeam you are choosing GB/day metering over per-user metering and forgoing the self-hosted option Exabeam retains through LogRhythm; against Microsoft Sentinel you are choosing a specialist with deeper behavioural heritage over deep Microsoft-estate integration; against Splunk you are choosing a lighter operational burden over unmatched search flexibility. TechBag sells all of these and will tell you when one of them is the better answer.
Establish daily ingestion volume by source, because that number is your price. Identify what genuinely needs to reach the SIEM against what can be filtered. Confirm at the outset — in writing — that cloud-only deployment is acceptable to your compliance function.
Connect sources in priority order: identity, endpoint and cloud control-plane first, because they carry the highest detection value per GB. Tune the Data Pipeline Manager as you go; filtering deferred becomes billable habit.
Behavioural models need time observing normal before their output is trustworthy. Expect noise early and resist tuning it away too aggressively. Establish peer groups reflecting how your organisation actually works, not the org chart.
Review ingestion against commitment monthly rather than at renewal. Revisit detection content quarterly. Reassess whether Sam earns its separate productivity-based cost once you have a stable baseline of analyst effort.
Modelled on Gartner Peer Insights structure. *Counts and breakdowns are illustrative pending verified review collection.
“The full year of hot data settled it for us. We found activity from eight months prior during an investigation and never once waited on a restore.”
“Behavioural scoring caught an account takeover our previous SIEM had logged and ignored. Same data, different question being asked of it.”
“Pre-negotiated overage rates meant our year-two ingestion growth was a budget conversation, not a crisis.”
“Onboarding log sources took longer than the timeline we were given. The platform is good; the implementation estimate was optimistic.”
“We ruled it out at the end of a long evaluation because our regulator requires the SIEM on our own infrastructure. Nobody told us early enough that cloud-only was absolute.”
“The Data Pipeline Manager paid for the tuning effort within two quarters. We cut ingestion by a third without losing a detection.”
“Analyst standing mattered to our board. Six straight Leader placements ended a debate that had run for months.”
“Strong platform with genuine behavioural depth. It expects you to bring SOC maturity though — it will not run itself out of the box.”
Analyst firms bury this view behind paywalls, and G2 retired its Grid. So here’s TechBag’s synthesis of the endpoint-security (EDR/XDR) market — tap any vendor to see why it sits where it does.
Execution strength vs product vision — the classic market map, minus the paywall.
Leader six consecutive times — the longest current run.
The grid nobody publishes — detection efficacy & agent maturity vs Microsoft-estate fit and TCO.
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.
The SIEM field — honest lanes; the edge is deployment freedom and one agent for logs and endpoint. Deepest content and talent pool? Splunk. We say so (and sell it).
| Dimension | Securonix | Exabeam | Splunk Enterprise Security | Microsoft Sentinel | Elastic Security |
|---|---|---|---|---|---|
| Position | UEBA-led cloud SIEM on a Snowflake lake | The other UEBA-led vendor | The reference SIEM | SIEM for Microsoft estates | Search-engine-native SIEM |
| Pricing axis | GB/day, tiered bands + commitment | Monitored users + sources | Ingest or workload — historically costly | Per GB ingested per day | Subscription tier + resources |
| Hot retention included | 365 days searchable as standard | By agreement | Priced by volume and term | 90 days, then charged | Yours to configure |
| Behavioural analytics | The founding capability | The founding capability | Available, add-on heritage | UEBA included | Entity risk scoring |
| Self-hosted / air-gapped | None — control plane is always their cloud | LogRhythm SIEM, genuinely on-prem | Cloud, on-prem or hybrid | SaaS only, on Azure | Self-managed, even air-gapped |
| Data custody option | BYO-AWS / BYO-Snowflake — your lake, their analytics | Fully self-hosted available | Fully self-hosted available | Microsoft-operated | Fully self-managed |
| Analyst standing (SIEM MQ 2025) | Leader, six consecutive times | Long-running MQ presence | Leader | Leader | Visionary, not Leader |
| Retrospective hunting | ATS — automatic on new intelligence | Manual hunts | Manual hunts, strong search | Manual hunts | Manual hunts |
| AI in the SOC | Sam — priced on measured analyst work | Nova — seven named agents | Cisco AI Assistant | Security Copilot + MCP | Elastic AI Assistant |
| The thing to plan around | Three CEOs in two years; 120% default overage | Two platforms post-merger | Cisco integration reshaping roadmap | Azure portal retires 31 Mar 2027 | You operate it unless you buy Cloud |
| Best fit | Cloud-accepting estates wanting retention solved | On-prem mandates, or user-based economics | Engineers who will build with it | Microsoft-standardised estates | Air-gapped, or existing ELK |
Honest fit signals — because the fastest way to lose your trust is to pretend one product wins every scenario.
Securonix Unified Defense SIEM is one of 30 SIEM & log management products TechBag carries. The SIEM & Log Management guide narrows them to a shortlist and shows the reasoning. →
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.
One warning that matters more than the saving: Autonomous Threat Sweeper can only re-hunt data you actually ingested. Every source you filter out to control this bill is a source no future sweep can reach — and a blind sweep looks exactly like a clean one. Protect identity, endpoint and cloud control-plane telemetry from cost-driven filtering. Illustrative only; Securonix is quote-only.
Securonix meters on GB per day in tiered bands, with a hybrid commitment plus pay-as-you-go. Two things decide what you actually pay, and only one is the headline rate. The first is the overage rate: Securonix’s own licensing guidelines default it to 120% of your GB/day fee where the order form specifies no rate — no vendor page tells a buyer that, and it is the commonest avoidable cost in a Securonix contract. The second is Data Pipeline Manager, which flexes one entitlement across three tiers at 1.0x, 0.5x and 0.25x. Do the classification exercise BEFORE you sign. TechBag models it and quotes in INR with GST.
The core meter
How you keep the meter honest
The novel meter
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.
Has compliance confirmed IN WRITING that a cloud-only SIEM is acceptable, with no self-hosted fallback?
Which AWS region holds the data, and does that satisfy your sectoral and contractual obligations?
What is your measured GB/day today, and what did it grow by over the last twelve months?
What is the negotiated overage rate — and have you avoided the 120% default by specifying it?
Do you already run Snowflake, and does BYO-Snowflake change your data-custody answer?
Do you need more than 365 days, and what does exceeding the hot window cost?
On termination, in what format and over what period is your historical data returned?
If AI triage is in scope, how is 'measured analyst productivity' defined and independently verified?
Find out what you already run, work out which tier you actually need above the free one, or get an honest Elastic-vs-Splunk comparison — in INR/GST.
Stats, ratings, review counts and pricing are illustrative and sourced from public materials; verify before purchase.