The SIEM that stopped making retention a budget argument — Google Security Operations bundles SIEM, SOAR and Mandiant threat intelligence in one platform, with twelve months of hot, searchable data included on every package.
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Same software. Better outcome — at a lower cost.
How it’s rated
Full scoreboard ↓Data residency & processing — confirm before the PoC
Delivery
SaaS on Google Cloud only
No on-premises, self-hosted or air-gapped edition exists. This is what the product is, not a licensing question.
What to confirm
Region — and processing, separately
Where Google Cloud stores your SecOps data and where it processes it are separate questions — confirm both for your region in writing.
If your mandate requires on-premises or air-gapped deployment, this product cannot meet it — the SIEM guide shows the options that can. If it requires data to stay in India, settle storage and processing separately with Google before a proof of concept, not at the audit.
Quick answer
This page covers Google Security Operations — the SIEM, SOAR and threat-intelligence platform. The other Google products:
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
Google’s cloud-native security operations platform — SIEM, SOAR and threat intelligence in one product, built on the infrastructure that indexes the web. Detections in YARA-L; 12 months hot retention included.
What consolidation actually replaces, dimension by dimension.
| Dimension | A traditional SIEM stack | Google SecOps |
|---|---|---|
| Retention | Priced per GB per month | 12 months hot, included |
| Old data | Archived, rehydrate to search | Hot and searchable now |
| SOAR | A separate product | In the platform |
| Threat intel | A third subscription | Mandiant, Google-owned |
| Pricing axis | Per GB as you go | A package against a GB cap |
| Rule language | Per-source, rewritten | YARA-L over one data model |
| Honest caveat | — | Cloud-only; YARA-L to learn |
| Best fit | — | Large log estates, cloud-committed |
The retention-and-search answer for large log estates — for on-prem or air-gapped, weigh Splunk or Elastic (TechBag sells Splunk).
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
You buy a GB package and ingestion is metered against it; forwarders, feeds and parsers bring data in, and the Data Benefit Program covers eligible Google logs.
Data is parsed into one schema on ingest, so a rule written once matches every source; a badly parsed source quietly loses coverage.
Google’s own detection language for security telemetry over time windows. Curated detections ship; your team writes the rest.
Every package includes twelve months of hot, searchable data at no extra cost — not archived, not rehydrated on request. Retention beyond that window is billed separately by volume.
Playbooks and case management are built in. Enterprise adds UEBA and Gemini; Enterprise Plus adds full Mandiant and VirusTotal intelligence.
Every source normalised into one data model, a year of it hot and searchable, with detection, intelligence and response in the same platform.
Google SecOps ingests against a GB cap, normalises everything into one data model, detects with YARA-L, curated content and Mandiant intelligence, and responds with playbooks in the same platform. Here are the twelve pieces that matter.
Hundreds of supported sources normalised into the Unified Data Model on ingest.
You size a cap rather than paying per GB as you go — the model replaced per-employee metering.
Searchable at full speed for a year on every tier, with no separate archive step.
One schema for every source, so a rule written once matches across the estate.
Google's security-native rule language, built for correlation over time windows.
Google-authored detection sets you switch on rather than write from scratch.
Entity risk scoring and behavioural baselines (Enterprise and above).
Front-line incident-response intelligence Google owns, richest on Enterprise Plus.
Investigate across a year of data without staging or rehydrating it first.
Orchestration in the platform rather than a separate product to license.
Natural-language investigation and summarisation (Enterprise and above).
Filter, route and shape data before it lands (Enterprise Plus).
The platform, a product tour and a customer story, from Google’s own channels.
The platform, introduced by Google.
A walkthrough of the console and workflow.
What it looks like in a real SOC.
Want a live, India-context walkthrough for your environment?
Book a guided demo →Here’s what genuinely sets Google SecOps apart (and where Splunk or Elastic may fit better).
Every Google SecOps package — Standard, Enterprise and Enterprise Plus — includes twelve months of hot, searchable data at no extra cost: not archived or rehydrated. Intrusions take months to find, so that’s the data investigations need. Retention beyond twelve months is billed by volume, so it isn’t unlimited.
Most stacks buy SIEM, SOAR and threat intel separately. Google SecOps ships them as one platform, with playbooks and case management built in and Mandiant intelligence Google owns outright, plus VirusTotal. Enterprise adds UEBA and Gemini. Compare it against a SIEM plus a SOAR plus an intel feed, not one licence.
Google SecOps runs on the infrastructure Google built to index the web, so searching a year of telemetry feels like a web search, not a batch job — analysts follow hunches instead of narrowing to what’s affordable. The Unified Data Model normalises every source into one schema, so one rule matches across the estate.
Google was named a Leader in the 2025 Gartner Magic Quadrant for SIEM in only its second year, furthest for Completeness of Vision. That signals strategic direction more than how the product behaves in your estate today; incumbents still earn their Ability to Execute.
Google SecOps is delivered only as SaaS on Google Cloud, so on-premises, air-gapped or processing-location mandates rule it out. YARA-L is Google’s own rule language, with fewer practitioners than SPL or KQL. The per-employee metering is gone, replaced by GB-based caps, and US prices aren’t published, so the real number comes from a quote.
Fits large or fast-growing log estates wanting twelve months’ hot retention, SIEM, SOAR and intel in one platform, and fast search — if you’ll learn YARA-L. Wrong for on-premises, air-gapped or processing-location needs, or a deep SPL library. TechBag models your GB/day by source against a package cap, in INR with GST.
Estimate GB/day per source, separating Data Benefit Program coverage. The cap you buy is the decision; TechBag models it free.
Stand up forwarders and feeds, and get parsing right — a badly parsed source silently costs you detection coverage later.
Turn on curated detections, write the YARA-L your estate needs, build SOAR playbooks, and budget the language ramp.
Use the twelve-month window to follow hunches across months, and review the cap against actual ingest each quarter.
Modelled on Gartner Peer Insights structure. *Counts and breakdowns are illustrative pending verified review collection.
“Twelve months of hot data meant keeping what mattered, not what budget allowed, and we traced an incident back four months.”
“A year-wide search returns while you are still thinking. On our old SIEM that query was a coffee break and a cost debate.”
“SIEM, SOAR and Mandiant intelligence on one contract removed two renewals and two integrations from my year.”
“YARA-L is a new language for the team; our first month of custom detections was slow, and hiring for it is harder than SPL.”
“The Unified Data Model means one rule matches across sources, so our detection library stayed maintainable.”
“Parsing is where the effort went. A poorly parsed source silently costs you coverage, and that work is not visible in the sales cycle.”
“An on-premises mandate ruled it out regardless of quality, and TechBag said so in the first conversation, not the fourth.”
“Modelling GB/day against a package cap in INR before signing made the business case defensible to our board.”
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 SIEM market — tap any vendor to see why it sits where it does.
Execution strength vs product vision — the classic market map, minus the paywall.
2025 MQ Leader — furthest on Vision.
How far back you can search at full speed vs how predictable the bill stays as log volume grows.
Retention and search at scale — the corner it fills.
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.
Google SecOps against the SIEMs it meets most. Its edge is a year of hot retention with SOAR and Mandiant in the platform; for on-premises or an existing SPL library, Splunk. We sell both, so we say which.
| Dimension | Google Security Operations | Splunk Enterprise Security | Microsoft Sentinel | Palo Alto Cortex XSIAM | Elastic Security |
|---|---|---|---|---|---|
| Position | Cloud-native SIEM + SOAR + intel | The search-power incumbent | SIEM for Microsoft estates | AI-led SOC replacement | Open, ELK-based |
| Pricing axis | Package against a GB cap | Ingest or workload — historically costly | Per GB ingested per day | Platform subscription by data and scope | Resource-based; free self-managed tier |
| Retention included | 12 months hot on every tier | Priced by volume and term | 90 days, then charged | Bundled by tier | Yours to configure |
| Search speed at scale | Sub-second across a year | SPL — the benchmark | KQL, strong but volume-shaped | Platform-native | Very fast, you tune it |
| SOAR | In the platform | Splunk SOAR, separate SKU | Logic Apps, billed separately | Included | Basic; often paired |
| Threat intelligence | Mandiant + VirusTotal, Google-owned | Cisco Talos | MDTI, free tier available | Unit 42 | Elastic + community |
| Deployment model | SaaS only, on Google Cloud | Cloud, on-prem or hybrid | SaaS only, on Azure | SaaS only | Cloud, on-prem, air-gapped |
| Rule language & talent pool | YARA-L — powerful, smaller talent pool | SPL — the largest pool | KQL — widely known | Platform-native | Lucene / ES|QL |
| First-party log economics | Google Cloud and Workspace logs benefit | All sources metered | Microsoft logs ingest free | Palo Alto telemetry native | Neutral |
| The thing to plan around | Pricing model changed — pre-2026 comparisons are stale | Cisco integration reshaping roadmap | Azure portal retires 31 Mar 2027 | An operating-model change, not a swap | You run and tune it yourself |
| Best fit | Large log estates wanting retention solved | Mature detection-engineering teams | Microsoft-standardised estates | SOCs replacing the triage model | Budget-constrained or air-gapped |
Honest fit signals — because the fastest way to lose your trust is to pretend one product wins every scenario.
Google Security Operations is one of 36 SIEM & log management products TechBag carries. The SIEM & Log Management guide narrows them to a shortlist and shows the reasoning. →
Google SecOps is sold as a package against a data cap, so the number that decides your quote is billable volume a year. Eligible Google Cloud audit logs and Google Workspace logs come in free up to 10 GB a day each and do not count toward the cap, on Enterprise or Enterprise Plus orders signed from 1 February 2026 (Google applies a minimum contract value). Google does not publish US list prices; the only public unit price we know is the UK G-Cloud listing at about £2,000 per TB a year, shown here as an order of magnitude — not a quote.
Other Data Benefit sources — Google Cloud CNAPP alerts, Chrome Enterprise logs and approved third-party EDR alerts — can reduce the billable figure further; they are not modelled here. Twelve months of hot retention is included in every package, so there is no separate storage line. Illustrative: your TechBag quote models your real sources in INR with GST.
Google SecOps is sold as a package against a data cap measured in GB — the per-employee metering Chronicle was known for has been retired, so pre-2026 comparisons describe a product you cannot buy. Google does not publish US commercial unit prices, so every deal is quoted. What IS fixed across all three packages: twelve months of hot retention, included. TechBag sizes the cap against your real GB/day and quotes in INR with GST.
Best for core security operations
Best for most SOCs
Best for complex estates
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.
What is your GB/day by source, and which sources qualify for the Data Benefit Program?
What package cap does that volume need, and what happens — commercially — when you exceed it?
Does twelve months of hot retention cover your mandate, and what does retention beyond it cost?
Standard, Enterprise or Enterprise Plus? UEBA and Gemini start at Enterprise; full Mandiant and pipeline management at Plus.
Can you accept SaaS on Google Cloud? An on-premises or air-gapped mandate rules this out entirely.
Who on your team will write YARA-L, and have you budgeted the ramp? The talent pool is smaller than for SPL or KQL.
Is any analysis you are relying on written against the OLD per-employee model? That product is no longer sold.
Google does not publish US list prices — have you modelled the quote in INR with GST?
Size the package cap against your real GB/day, check what the Data Benefit Program covers, or get an honest Google-SecOps-vs-Splunk comparison — in INR/GST.
Stats, ratings, review counts and pricing are illustrative and sourced from public materials; verify before purchase.