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IBM QRadar Alternatives: Ayati One as a Managed SIEM + AI-SOC

26 July 2026 · 8 min read · Cloud Armor Security Team

  • SIEM
  • IBM QRadar
  • Ayati One
  • MSSP
  • Vendor Comparison

TL;DR — IBM QRadar is a mature, capable enterprise SIEM, but it is a product you have to staff, tune and license by log volume, with most of the interesting capabilities sold as separate modules. Ayati One takes the other path: one managed console operated by a 24×7 SOC, AI search across incidents, raw logs and alerts instead of endless manual filtering, and flat per-asset pricing that already includes the add-ons QRadar charges for separately — continuous vulnerability assessment, DMARC and dark web monitoring, and asset telemetry.

If you are reading this, you are probably evaluating QRadar against something — cost, complexity, staffing, or roadmap uncertainty after IBM's 2024 decision to migrate QRadar SaaS customers onto Palo Alto's Cortex XSIAM. This piece is written by the team that operates a SIEM every day on Ayati One, our managed SOC platform. We will give QRadar a fair account of what it does well, then be explicit about where Ayati One is a genuinely different proposition.

What IBM QRadar actually gives you

Credit where it is due: QRadar earned its place. At its core it does the things a mature SIEM should.

  • Log and event collection from a very broad catalogue of sources (DSMs)
  • Correlation and offense generation — the rules engine that turns raw events into ranked "offenses" for analysts to work
  • Network flow analysis — flow records and, with the network module, deep visibility into traffic patterns
  • A large app ecosystem via IBM App Exchange
  • Scale — it handles very high event volumes in large enterprises

That is a solid foundation. The catch is what is not in the base product.

And what costs extra: the add-on modules

Most of the capabilities buyers assume are "in QRadar" are separately licensed modules. This is the part that reshapes the total cost and the project plan:

QRadar capability How it's sold
Vulnerability data (QRadar Vulnerability Manager) Separate module
Risk / attack-path modelling (QRadar Risk Manager) Separate module
Deep network inspection (QRadar Network Insights) Separate module
User behaviour analytics (UBA) Separate app / licensing
Response automation (QRadar SOAR, formerly Resilient) Separate product
Endpoint detection (QRadar EDR, formerly ReaQta) Separate product
Threat intelligence (X-Force) Separate feed / entitlement

On top of the modules, the core is licensed by Events Per Second (EPS) and Flows Per Minute (FPM). That single fact drives two behaviours we see constantly in the field: teams drop log sources to stay under the licence, and coverage decisions get made on the billing model rather than on security. A SIEM you are afraid to send logs to is a SIEM with blind spots.

Where Ayati One is different — and why it matters

Here is where we stop being neutral. As the people who build and run Ayati One, these are the differences we will defend.

1. AI search, not endless filtering

This is the headline. In QRadar, investigation means writing AQL queries and stacking filters across offenses and logs — powerful in expert hands, but it is filter, filter, filter, then still manually review every incident by hand. The tool narrows the haystack; a human still reads the straw.

Ayati One inverts that. You ask, in plain language, across incidents, raw logs and alerts — "show me every failed privileged login from a new country in the last 24 hours and what each host did next" — and the AI-SOC layer returns the answer with context, not a filtered log table for you to keep grinding through. The analyst's time goes to judgement, not to query syntax. For a lean team, that is the difference between a SIEM that works for you and one you work for.

2. One central console — and a managed SOC behind it

QRadar is a product. Someone has to run it: content tuning, offense triage, upgrades, module integration, and the analysts to work it 24×7. Ayati One ships as a managed service on a single central console — SIEM, AI-SOC, and every add-on in one pane of glass, operated around the clock by Cloud Armor's analysts across our India, UAE and US operations. You are not buying software to staff; you are buying outcomes with SLAs behind them. The console is what your team sees; the MSSP is who acts on it while your team sleeps.

3. Flat per-asset pricing, not EPS/FPM + module sprawl

Ayati One is priced per asset, flat, monthly — not by how many logs you dare to send:

  • ₹500 / asset / month — endpoints & network devices
  • ₹1,000 / asset / month — servers & databases
  • ₹400 / asset / month — dark web monitoring (each domain, IP or executive identity)

No EPS ceiling, no per-module licence stack, no penalty for full telemetry. See the live estimate calculator — you enter your asset counts and get the number instantly. Coverage decisions get made on security grounds, because the billing model never punishes visibility.

4. The add-ons are part of the platform, not a shopping list

The capabilities QRadar sells as QVM, external services and bolt-ons are, on Ayati One, first-class add-ons at the same flat per-asset model:

  • Continuous Vulnerability Assessment — always-on exposure data at the asset level, not a periodic scan you license separately. It pairs with our VAPT practice for depth on top of breadth.
  • DMARC & Dark Web Monitoring — stop attackers spoofing your domain, and know the moment your domains, IPs or executives' identities surface where they shouldn't.
  • Asset Telemetry — complete hardware and software inventory, patch timelines, remote console to the endpoint, vulnerability data and compliance pass/fail scoring, continuously updated per machine.

Side by side

Dimension IBM QRadar Ayati One
Delivery Product you staff and operate Managed service on a central console, 24×7 SOC
Investigation AQL queries + manual filtering, then manual review AI search across incidents, raw logs and alerts
Pricing model EPS / FPM licensing + per-module Flat per-asset, monthly
Vulnerability data QVM (separate module) Continuous VA add-on, per asset
Network / behaviour QNI, UBA (separate) Included in the SIEM + AI-SOC
Response automation QRadar SOAR (separate product) Built into the managed SOC workflow
Dark web / DMARC Not native Add-on, per asset
Asset inventory & patch state Not native to SIEM Asset Telemetry add-on, per asset
Who operates it You (or a partner you also pay) Cloud Armor analysts, SLA-backed

Where QRadar still makes sense

An honest comparison names the other side's strengths. QRadar is a reasonable choice if you have a large, well-staffed internal SOC that wants to own the platform end to end, deep existing investment in the IBM ecosystem, or highly specific requirements that a particular QRadar module uniquely satisfies. If you have the people and the appetite to run a SIEM as a product, it is a capable one.

Ayati One is for everyone else: teams that want the outcome of a world-class SOC — detection, investigation and response — without hiring and retaining one, and without a licence model that quietly shrinks their visibility.

Frequently asked questions

Is Ayati One's AI search a gimmick, or does it replace real analysis?

It replaces the grinding, not the judgement. The AI does the retrieval and correlation across incidents, raw logs and alerts that an analyst would otherwise assemble by hand with queries and filters. A human analyst still owns the decision — they just reach it in minutes instead of hours.

We already run QRadar. Can we migrate without losing coverage?

Yes — Ayati One ingests telemetry from the same sources you already feed QRadar (endpoints, network, cloud, identity). We typically run a scoped pilot against a slice of your environment first, so you see real alerts and real cases before any cutover.

How does flat per-asset pricing compare to EPS/FPM at scale?

The honest answer is: model it. Per-asset pricing is predictable and does not penalise log volume, which usually wins for mid-size estates and for any team that has been throttling sources to control EPS. At very large, log-heavy scale, talk to us and we will model your specific estate rather than hand-wave a number.

What about the QRadar-to-Cortex XSIAM migration?

IBM's 2024 direction created genuine roadmap questions for QRadar SaaS customers. If you are being asked to migrate anyway, that is the natural moment to evaluate a managed alternative rather than swap one product you must staff for another.


Evaluating alternatives to QRadar? See what a managed SIEM + AI-SOC looks like on Ayati One, price it on your own asset counts with the estimate calculator, or talk to our SOC engineers about a scoped pilot against your environment.

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