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Insurance · head to head

FRISS vs IBM QRadar

FRISS logo

FRISS

Insurance

Trust automation for insurance

From
On request
Rated
-
Full reviewWebsite
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

The short version

  • Each has a real cost: FRISS no pricing plans, tiers, or costs are published on the website; 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.
  • They diverge on capability: FRISS covers Underwriting risk scoring, IBM QRadar covers Offence model.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which FRISS and IBM QRadar actually diverge.

Attributes where FRISS and IBM QRadar differ
AttributeFRISSIBM QRadar
CategoryInsuranceCybersecurity
Founded20061911

Identical on both: starting price (On request), pricing model (subscription), free tier (No), platforms (Web, Api), user rating (Not yet rated).

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 FRISS

  • Underwriting risk scoring
  • Claims fraud detection
  • Network analysis
  • Real-time decisioning
  • Third-party data enrichment
  • Case management
  • Predictive analytics
  • Compliance monitoring

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

What people use each for

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

FRISS

  • Fraud detectionnot IBM QRadar
  • Risk assessmentnot IBM QRadar
  • Underwriting automationnot IBM QRadar
  • Claims investigationnot IBM QRadar
  • Compliancenot IBM QRadar

IBM QRadar

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

Where each one falls short

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

FRISS

  • No pricing plans, tiers, or costs are published on the website
  • Requires direct contact through 'Let's talk' call-to-action for pricing inquiries

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.

Pricing, plan by plan

FRISS

On request
  • Underwriting$undefined/year
    • Risk scoring
    • Application fraud detection
    • Real-time assessment
  • Claims$undefined/year
    • Claims fraud detection
    • Network analysis
    • Investigation prioritization
  • Enterprise Platform$undefined/year
    • All modules
    • Custom models
    • Advanced analytics

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

Which should you pick?

Choose FRISS if

  • You need underwriting risk scoring.
  • You work on Web, Api.
  • You also want claims fraud detection.
FRISS review

Choose IBM QRadar if

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

Questions people ask

Is FRISS or IBM QRadar better?
Neither clearly leads. FRISS starts at On request and IBM QRadar at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, FRISS or IBM QRadar?
FRISS starts at On request and IBM QRadar at On request.
Does FRISS or IBM QRadar run on more platforms?
Both run on Web, Api, so platform support will not decide this one for you.
What is FRISS best used for?
FRISS is most often used for fraud detection, risk assessment, underwriting automation, claims investigation. Of those, fraud detection and risk assessment are not what IBM QRadar is typically brought in for.
What can FRISS do that IBM QRadar cannot?
FRISS covers Underwriting risk scoring, Claims fraud detection, Network analysis, Real-time decisioning. IBM QRadar covers Offence model, Network flow analysis, Device Support Modules, Ariel query language.

Answered from the vendors’ own pages

FRISS: How does FRISS publish pricing information?

FRISS does not publicly disclose pricing on their website. The company directs interested parties to contact their sales team directly for pricing and licensing details.

Source
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.

FRISS: What pricing model does FRISS use?

FRISS does not specify their pricing model on publicly available pages, requiring direct contact with their sales team to discuss pricing structure and implementation costs.

Source
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.

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.

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.

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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