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Cybersecurity · head to head

IBM QRadar vs Spot AI

IBM QRadar logo

IBM QRadar

Cybersecurity

Enterprise SIEM licensed by events per second, whose cloud business IBM sold to Palo Alto Networks in 2024.

From
On request
Rated
-
Full reviewWebsite
Spot AI logo

Spot AI

Cybersecurity

Cloud video intelligence that runs on your existing cameras through an on-site recorder

From
$99/month
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: IBM QRadar iBM sold the QRadar SaaS business to Palo Alto Networks in 2024 and those customers are being moved to Cortex XSIAM, so anyone buying today is choosing an on-premises product whose vendor has publicly moved the cloud future to a competitor, and the support horizon becomes a contract negotiation rather than an assumption.; Spot AI at roughly $99 per camera per month the all-in rate is high against a perpetual VMS licence: 200 cameras is around $240,000 a year, recurring, where an on-premise system would be largely a one-time cost.
  • They diverge on capability: IBM QRadar covers Offence model, Spot AI covers Camera agnostic.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which IBM QRadar and Spot AI actually diverge.

Attributes where IBM QRadar and Spot AI differ
AttributeIBM QRadarSpot AI
Starting priceOn request$99/month
Pricing modelsubscriptionPer camera per month, all inclusive
PlatformsWeb, ApiWeb, iOS, Android
Founded1911Unknown

Identical on both: free tier (No), user rating (Not yet rated), category (Cybersecurity).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in IBM QRadar

  • Offence model
  • Network flow analysis
  • Device Support Modules
  • Ariel query language
  • Rules and building blocks
  • Deployment topology
  • App Exchange
  • Use Case Manager

Only in Spot AI

  • Camera agnostic
  • Intelligent Video Recorder
  • AI video search
  • Operational analytics
  • Cloud management
  • Alerting and clip sharing
  • All-in per-camera pricing

What people use each for

The jobs each tool is most often brought in to do.

IBM QRadar

  • A regulated enterprise that must keep log data on premises or in a specific jurisdiction and cannot use a shared SaaS SIEMnot Spot AI
  • A SOC that wants log correlation and network flow analysis in one platform rather than buying an NDR product separatelynot Spot AI
  • An existing QRadar estate deciding whether to stay on premises or accept the migration path to a different vendor's platformnot Spot AI
  • Compliance-driven log retention and reporting where the audit requirement is specific about collection, retention and reportingnot Spot AI

Spot AI

  • A manufacturer with hundreds of existing cameras that wants cloud search without replacing any of themnot IBM QRadar
  • A logistics operator investigating dock door delays and trailer dwell time from footagenot IBM QRadar
  • A retail chain reviewing incidents across dozens of stores without a VPN into each sitenot IBM QRadar
  • A safety team detecting forklift near-misses and missing personal protective equipment automaticallynot IBM QRadar

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

IBM QRadar

  • IBM sold the QRadar SaaS business to Palo Alto Networks in 2024 and those customers are being moved to Cortex XSIAM, so anyone buying today is choosing an on-premises product whose vendor has publicly moved the cloud future to a competitor, and the support horizon becomes a contract negotiation rather than an assumption.
  • Licensing is by events per second and flows per minute, so every additional log source raises the cost directly and teams routinely exclude verbose sources such as DNS, proxy, endpoint and cloud audit logs to stay under the licence, which strips out exactly the data an investigation later needs.
  • It needs a dedicated operator: rule tuning, parser work and offence triage are continuous jobs, and an organisation that deploys QRadar without at least one named engineer accumulates thousands of unreviewed offences and a false sense of coverage.
  • A log source without a matching Device Support Module arrives unparsed, and writing a custom parser with regular expressions against an unfamiliar payload format is specialist work that can take days per source, which quietly determines which systems ever get monitored.
  • On-premises capacity is planned across consoles, processors, collectors and data nodes, so outgrowing the sizing means procuring and racking more appliances rather than changing a subscription tier, and growth becomes a purchasing cycle measured in months.

Spot AI

  • At roughly $99 per camera per month the all-in rate is high against a perpetual VMS licence: 200 cameras is around $240,000 a year, recurring, where an on-premise system would be largely a one-time cost.
  • Reusing existing cameras saves capital but caps quality; AI analytics on a fifteen-year-old analogue camera produces correspondingly poor results and no software fixes the optics.
  • Per-camera monthly billing scales linearly with camera count, so adding coverage is always expensive and there is no volume point where marginal cameras become cheap.
  • The on-site IVR is a single point of failure per location, so an appliance fault takes that site's recording and cloud access with it until it is replaced.
  • It is a subscription with no perpetual option, so an organisation that stops paying loses the platform entirely and is left with cameras and no management system.

Pricing, plan by plan

IBM QRadar

On request
  • QRadar SIEMFree
    • Event and flow processing
    • Offense management
    • Threat intelligence
  • QRadar CloudFree
    • Cloud-native deployment
    • Elastic scaling
    • Managed infrastructure
  • QRadar SuiteFree
    • SIEM + SOAR + XDR
    • Unified analyst experience
    • Federated search

Spot AI

$99/month
  • Spot AI$99/month
    • Reference rate of roughly $99 per camera per month
    • Includes the on-site IVR appliance, cloud software, AI and support
    • Monthly, annual and multi-year terms available

Which should you pick?

Choose IBM QRadar if

  • You need offence model.
  • You work on Web, Api.
  • You also want network flow analysis.
IBM QRadar review

Choose Spot AI if

  • You need camera agnostic.
  • You work on Web, iOS, Android.
  • You also want intelligent video recorder.
Spot AI review

Questions people ask

Is IBM QRadar or Spot AI better?
Neither clearly leads. IBM QRadar starts at On request and Spot AI at $99/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, IBM QRadar or Spot AI?
IBM QRadar starts at On request and Spot AI at $99/month.
Does IBM QRadar or Spot AI run on more platforms?
IBM QRadar runs on Web, Api. Spot AI runs on Web, iOS, Android.
What is IBM QRadar best used for?
IBM QRadar is most often used for a regulated enterprise that must keep log data on premises or in a specific jurisdiction and cannot use a shared saas siem, a soc that wants log correlation and network flow analysis in one platform rather than buying an ndr product separately, an existing qradar estate deciding whether to stay on premises or accept the migration path to a different vendor's platform, compliance-driven log retention and reporting where the audit requirement is specific about collection, retention and reporting. Of those, a regulated enterprise that must keep log data on premises or in a specific jurisdiction and cannot use a shared saas siem and a soc that wants log correlation and network flow analysis in one platform rather than buying an ndr product separately are not what Spot AI is typically brought in for.
What can IBM QRadar do that Spot AI cannot?
IBM QRadar covers Offence model, Network flow analysis, Device Support Modules, Ariel query language. Spot AI covers Camera agnostic, Intelligent Video Recorder, AI video search, Operational analytics.

Answered from the vendors’ own pages

IBM QRadar: Who owns QRadar now?

It is split. IBM sold the QRadar SaaS assets to Palo Alto Networks in a deal announced in May 2024 and closed that September, and those customers are being migrated to Cortex XSIAM. IBM retains and supports the on-premises product.

Spot AI: Do I have to buy new cameras?

No. That is the main point of the product: the IVR appliance connects to existing IP and analogue cameras.

IBM QRadar: Is QRadar being discontinued?

IBM has committed to continuing support for on-premises customers, including security updates, while offering migration assistance. The cloud product's future belongs to Palo Alto. If you are signing a multi-year term, get the support horizon written into the contract.

Spot AI: What does it cost?

The reference rate that recurs across pricing breakdowns and Spot AI materials is roughly $99 per camera per month, bundling the appliance, cloud software, AI and support.

IBM QRadar: How is it licensed?

By events per second for logs and flows per minute for network data, with the software or appliance sized to that rate. Add-on modules in the suite are licensed separately.

Spot AI: Is there a perpetual licence option?

No. It is subscription only, and the platform stops working when the subscription does.

IBM QRadar: What is an offence?

QRadar's term for a correlated case. Rules group related events and flows against a common indicator such as a host or user, so an analyst reviews one offence rather than the hundreds of events behind it.

Spot AI: Will AI analytics work on my old analogue cameras?

They will run, but detection quality follows image quality. Old low resolution cameras produce poor analytics results.

IBM QRadar: Do I need a full-time engineer?

In practice yes for anything beyond a small deployment. Parser development, rule tuning and offence triage do not stop, and the most common failure mode is a well-installed QRadar that nobody has tuned since go-live.

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