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SentinelOne Singularity AI SIEM
The SOC, re-thought — an AI-native SIEM on the Singularity Data Lake that ends per-GB pricing and slow queries, with Purple AI’s agentic capabilities driving autonomous detection across all your data.
How it’s rated
Full scoreboard ↓Quick answer
Singularity AI SIEM is SentinelOne's re-think of the security operations centre — an AI-native SIEM built on the Singularity Data Lake that replaces the slow, expensive legacy SIEM with machine-speed detection across all your security data. Legacy SIEM punished you twice: per-GB pricing that forced teams to drop logs and go blind, and query speeds that made real-time hunting impossible. Singularity AI SIEM changes both — the Data Lake makes it economical to keep all your data and search it fast, and it's AI-native, with Purple AI's agentic capabilities driving autonomous detection, investigation and response across the data. It ingests both native SentinelOne telemetry and third-party sources, so the SOC sees everything, and it's part of the Singularity platform, so detection, investigation and response happen in one place. Data ARR has passed $130M — this is a fast-growing pillar of SentinelOne's move beyond endpoint.
The SentinelOne platform family
This page covers Singularity AI SIEM — the SOC layer. The rest of the platform:
Quick facts
30-second orientation- Product
- Singularity AI SIEM — the AI-native SOC
- Vendor
- SentinelOne (founded 2013 · NYSE: S · Mountain View, CA)
- Built on
- The Singularity Data Lake — fast, scalable
- The fix
- Ends per-GB pricing AND slow queries
- AI-native
- Purple AI agentic detection & response across the data
- Ingests
- Native SentinelOne + third-party sources
- The edge
- Detection, investigation & response in one platform
- Momentum
- Data ARR past $130M — fast-growing
- Licensing
- Consumption; platform
- In India via
- TechBag — quotes, PoCs, GST invoicing, Tier-1 support
Understand AI-native SIEM before you buy it
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
What is an AI-native SIEM?
A security operations platform on the Singularity Data Lake that ends per-GB pricing, keeps all your data searchable fast, and is driven by Purple AI’s agentic capabilities.
Detection, investigation and response in one platform — with the autonomous engine acting.
Legacy per-GB SIEM vs AI-native SIEM on a data lake — the honest table
What consolidation actually replaces, dimension by dimension.
| Dimension | Legacy per-GB SIEM | AI SIEM (Singularity) |
|---|---|---|
| Pricing | Per-GB — punishes visibility | Data Lake, keep it all |
| The data choice | Drop logs to save money | Keep everything, search fast |
| Search speed | Queries time out | Seconds, real-time hunting |
| The AI | Bolted-on chatbot | AI-native, Purple AI agentic |
| The engine | Alerts for humans | Autonomous action |
| The sources | Costly, limited | Native + third-party |
| The workflow | SIEM + five consoles | One platform, detect to respond |
| The trajectory | A legacy incumbent | Fast-growing, invested |
Native SentinelOne data is already in the SIEM, and Purple AI works across third-party sources too — the whole picture.
The five pieces of the platform
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
Singularity Data Lake
A fast, scalable data lake that makes it economical to keep ALL your security data and search it at speed — the backbone that fixes legacy SIEM's cost and speed problems.
AI-Native Detection
Detection built AI-native across the data — surfacing real threats from the noise at machine speed, not human-paced correlation rules.
Purple AI Agentic
Purple AI's agentic capabilities driving autonomous threat hunting, investigation and response across all the data — the AI-security layer applied to the SIEM.
Open Ingest
Ingests native SentinelOne telemetry AND third-party sources — so the SOC sees everything, not just one vendor's data.
One Platform
Detection, investigation and response in the same platform as endpoint, cloud and identity — no swivel-chair between the SIEM and the tools it watches.
One agent on every machine, one console over all of them — modules attach without a second operational world.
Twelve capabilities. Ingest, detect, respond.
Singularity AI SIEM ends the choice between visibility and budget — keep all the data, search it fast, and let agentic AI run the SOC.
Singularity Data Lake
A fast, scalable data lake that makes it economical to keep ALL security data and search it at speed.
Economics Re-Thought
Ends the per-GB pricing that forced teams to drop logs — keep everything without the legacy-SIEM bill shock.
Native SentinelOne Data
Endpoint, cloud and identity telemetry already in the SIEM — no connector for your most important signal.
Open Third-Party Ingest
Ingests any source, and Purple AI works across third-party SIEMs and data lakes too — the SOC sees everything.
AI-Native Detection
Detection built AI-native across the data — surfacing real threats from noise at machine speed, not correlation rules.
Purple AI Agentic
Purple AI's agentic capabilities drive autonomous hunting, investigation and response across all the data.
Machine-Speed Search
Fast search returns in seconds what timed out on legacy SIEM — real-time hunting across all your data.
Cross-Source Correlation
Correlates SentinelOne and third-party data into unified detections — the whole picture, not per-source silos.
Autonomous Response
The Singularity autonomous engine acts on detections in the SIEM — response, not just alerting.
One SOC Platform
Detection, investigation and response in the same platform as endpoint, cloud and identity — no swivel-chair.
Affordable Retention
Long-term retention for compliance and hunting — the historical data legacy SIEM priced out of reach.
Hyperautomation
Automated workflows across the data — response and enrichment at machine speed, driven by the agentic AI.
Watch Singularity AI SIEM in action
Hyperautomation in the SOC, the platform overview, and the Purple AI Athena release.
LIVE SentinelOne Demo on Hyperautomation
Data-driven automation in the SOC.
SentinelOne Singularity Platform Overview
The platform the SIEM is part of.
Purple AI, Athena Release
The agentic AI that drives the SIEM.
Want a live, India-context walkthrough on your own fleet?
Book a guided demo →Legacy SIEM made you drop data. This keeps it all, fast.
Here’s what genuinely sets Singularity AI SIEM apart from the alternatives.
The per-GB SIEM tax, ended
Legacy SIEM priced by data ingested, so teams dropped logs to control cost and went blind to save money. The Singularity Data Lake changes the economics so you can keep all your data AND search it — ending the impossible choice between visibility and budget that made legacy SIEM projects stall.
AI-native, driven by Purple AI
This isn't a legacy SIEM with an AI chatbot bolted on — it's AI-native, with Purple AI's agentic capabilities driving autonomous threat hunting, investigation and response across the data. The SOC moves at machine speed, with the AI doing the correlation and investigation work that overwhelms human analysts.
Machine-speed search on all your data
Query speed made real-time hunting impossible on legacy SIEM. The Data Lake returns in seconds what used to time out — so you can actually hunt across all your data, not just the fraction you could afford to keep and the queries you had time to wait for.
See everything — native and third-party
It ingests both native SentinelOne telemetry (endpoint, cloud, identity) and third-party sources — so the SOC sees the whole picture. Purple AI's agentic capabilities extend across any data source, so the AI works on all your security data, wherever it comes from.
One platform, no swivel-chair
Detection, investigation and response happen in the same platform as the endpoint, cloud and identity tools the SIEM watches — so an analyst doesn't jump between the SIEM and five other consoles to work an incident. And the autonomous engine acts, not just alerts.
A fast-growing strategic pillar
Data ARR has passed $130M and the AI SIEM is central to SentinelOne's move beyond endpoint — part of the emerging products now driving over half of new bookings. That momentum means active development and a vendor investing hard, not a neglected me-too SIEM.
The numbers behind the platform
What your Singularity AI SIEM journey looks like
SOC & data scoping
Your data volume, the sources to ingest, the legacy-SIEM cost you're escaping, and your Singularity footprint. TechBag scopes it free.
Ingest live
Native SentinelOne data already there; third-party sources wired in; search speed and AI-native detection proven on real data.
The economics proof
Model the Data Lake economics against your legacy SIEM bill at real data volume — the number that decides the migration.
SOC steady state
Purple AI agentic across the data, one console for detect-to-respond, autonomous engine acting. TechBag models consumption in INR/GST.
Trusted across regulated industries in 100+ countries
The review scoreboard
Modelled on Gartner Peer Insights structure. *Counts and breakdowns are illustrative pending verified review collection.
Quick poll — what’s driving your evaluation?
Talk to an advisor“Our legacy SIEM bill scaled with logs, so we dropped data and went blind. The Data Lake let us keep everything and actually search it — visibility we'd been rationing for years.”
“Purple AI's agentic capabilities across the SIEM data mean the AI does the correlation and investigation. It's AI-native, and you feel it in the response speed.”
“Search speed on the Data Lake is genuinely different — queries that timed out on our old SIEM return in seconds. Real-time hunting is finally possible.”
“One platform for the SIEM and the endpoint/identity tools it watches ended the swivel-chair. Working an incident is one pane now, and the engine acts, not just alerts.”
“Ingesting our third-party sources alongside SentinelOne telemetry gave us the whole picture — and Purple AI works across all of it, not just our endpoint data.”
“Consumption pricing needs modelling against your data volume — it's far better economics than legacy, but scope it. TechBag sized it well.”
“If you're already on Singularity, the AI SIEM is a natural extension — native data, one platform, the same autonomous engine. That integration is the value.”
“It's newer than the incumbents — evaluate maturity for your specific use cases. For AI-native SOC on a data lake, it's compelling and improving fast.”
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 AI-native SIEM market — tap any vendor to see why it sits where it does.
TechBag SIEM Market Grid
Execution strength vs product vision — the classic market map, minus the paywall.
AI-native SIEM on Data Lake, Purple AI — this page's subject.
Economics × AI-Native Depth
The grid nobody publishes — how affordable the data economics are vs how AI-native (agentic) the SOC actually is.
Data Lake + Purple AI + native data — the corner it owns.
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.
Singularity AI SIEM vs the SIEM field
The AI-native SIEMs and the incumbents — honest lanes; comparison hinges on your data volume and stack.
| Dimension | Singularity AI SIEM | CrowdStrike NG-SIEM | Microsoft Sentinel | Splunk | Google SecOps |
|---|---|---|---|---|---|
| Heritage & focus | AI-native SIEM on Data Lake | AI-native on LogScale | Cloud SIEM (Azure) | The incumbent | Chronicle-based |
| Economics | Data Lake, no GB tax | LogScale, no GB tax | Ingest-priced | Notoriously costly | Consumption |
| AI-native SOC | Purple AI agentic | Charlotte AI | Copilot | Adding AI | Gemini |
| Native security data | SentinelOne, built in | Falcon, native | Defender | Bring your own | Google data |
| One-platform response | Autonomous engine | Falcon platform | MS stack | SOAR add-on | SecOps |
| Best fit | SentinelOne customers modernising the SOC | Falcon customers | All-Azure/Microsoft shops | Deep-pocketed incumbents | Google-stack SOCs |
Which SIEM approach fits you?
Honest fit signals — because the fastest way to lose your trust is to pretend one product wins every scenario.
Choose Singularity AI SIEM if…
- ✓Legacy SIEM economics forced you to drop data
- ✓You want AI-native (Purple AI agentic), not a bolted-on chatbot
- ✓You're on Singularity and want native data in the SIEM
- ✓One-platform detect-to-respond with an autonomous engine appeals
Choose CrowdStrike NG-SIEM if…
- ✓You're on Falcon and want NG-SIEM there — hub live
Choose Sentinel if…
- ✓You're all-Azure and Microsoft-committed
Choose Splunk if…
- ✓You're deeply Splunk-invested and budget isn't the constraint
Choose Google SecOps if…
- ✓You're standardised on the Google security stack
What does per-GB SIEM pricing cost you?
Drag the sliders (count daily log volume in GB; cost per GB as your legacy-SIEM rate). Estimates model the legacy per-GB bill, with ~55% removed by Data Lake economics that let you keep all the data affordably — the avoided cost of dropped-data blind spots (missed detections) is the larger, unpriced win. Illustrative.
Loaded cost = salary + overheads per productive hour. Illustrative only — your TechBag quote models actual device counts and modules.
Three ways to consume it
Singularity AI SIEM prices on consumption. TechBag models it against your legacy-SIEM bill at real data volume in one GST quote.
AI SIEM on Data Lake
Best for the modern SOC
- Keep all data, search fast
- No per-GB tax
- Native SentinelOne data
+ Purple AI agentic
Best for the AI-native SOC
- Autonomous hunting & investigation
- Agentic across any data source
- Machine-speed detection
+ One-platform response
Best for detect-to-respond
- Autonomous engine acts
- One console with endpoint/cloud/identity
- TechBag models the consumption
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 an India-ready quote
Tell us your device counts and current tools — we’ll model it against what you spend today.
The 8 questions to ask every SIEM vendor
Take this into your next vendor call — including ours.
Model Data Lake consumption against your legacy SIEM bill at real data volume — the per-GB tax is what you're escaping.
Run your slowest legacy queries on the Data Lake — search should return what used to time out, in seconds.
Verify Purple AI's agentic capabilities run across the SIEM data — autonomous hunting/investigation, not a bolted-on chatbot.
Confirm your SentinelOne endpoint/cloud/identity telemetry is native — no connector to build for your best data.
Test third-party ingest — the SOC must see everything, not just SentinelOne data.
Confirm detection, investigation and response in one platform with the tools it watches — no swivel-chair, autonomous engine acting.
Evaluate maturity for your specific use cases — it's newer than the incumbents but improving fast and AI-native by design.
Size the consumption model against your data growth — TechBag models it in INR/GST.
Questions buyers ask
Ready to evaluate Singularity AI SIEM?
Model the Data Lake economics against your legacy-SIEM bill, test search speed and the agentic AI, or let a TechBag advisor plan the SOC modernisation.
Stats, ratings, review counts and pricing are illustrative and sourced from public materials; verify before purchase.