Cybersecurity · head to head
Falco vs IBM QRadar

Falco
Cybersecurity
CNCF-graduated runtime threat detection for Linux and Kubernetes using eBPF
- From
- Free
- Rated
- -

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
- -
The short version
- Only Falco has a free tier, so it costs nothing to try first.
- Each has a real cost: Falco falco detects and alerts but does not block; stopping an attack requires wiring up Falco Talon or your own response tooling, so out of the box a confirmed detection still means a human intervening after the fact.; 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: Falco covers eBPF kernel instrumentation, IBM QRadar covers Offence model.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Falco and IBM QRadar actually diverge.
| Attribute | Falco | IBM QRadar |
|---|---|---|
| Starting price | Free | On request |
| Pricing model | Open source, no licence fee | subscription |
| Free tier | Yes | No |
| Platforms | Linux, Kubernetes, Self-hosted | Web, Api |
| Founded | Unknown | 1911 |
Identical on both: 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 Falco
- eBPF kernel instrumentation
- System call rules engine
- Container and Kubernetes context
- Default rule set
- Falcosidekick
- Falco Talon
- Plugins framework
- DaemonSet deployment
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.
Falco
- A platform team that needs to know when a shell is opened inside a production container, which image scanning cannot detect because it happens at runtimenot IBM QRadar
- A regulated business required to evidence host and container intrusion detection on Kubernetes nodes for an auditnot IBM QRadar
- A security team wanting a vendor-neutral detection layer whose rules they can read and modify rather than a black-box agentnot IBM QRadar
- A cluster where a compromised dependency might write to sensitive paths or open unexpected outbound connections, and only kernel-level visibility will catch itnot 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 Falco
- A SOC that wants log correlation and network flow analysis in one platform rather than buying an NDR product separatelynot Falco
- An existing QRadar estate deciding whether to stay on premises or accept the migration path to a different vendor's platformnot Falco
- Compliance-driven log retention and reporting where the audit requirement is specific about collection, retention and reportingnot Falco
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Falco
- Falco detects and alerts but does not block; stopping an attack requires wiring up Falco Talon or your own response tooling, so out of the box a confirmed detection still means a human intervening after the fact.
- The default rule set is noisy in real clusters and generates a large volume of benign matches from normal operational activity; without weeks of tuning, alert fatigue sets in and the team stops reading the feed, which is the usual failure mode.
- There is no storage, console, search or case management in the project, so a working detection capability means also running Falcosidekick, an event store, a dashboard and alert routing, all of which you build, host and maintain.
- The modern eBPF driver requires kernel 5.8 or later; older hosts fall back to the legacy probe or the kernel module, which brings driver-building against kernel headers and the operational fragility that comes with it on every kernel upgrade.
- Per-node syscall instrumentation carries measurable CPU overhead on busy hosts, and the cost scales with syscall volume rather than with cluster size, so the noisiest and most performance-sensitive workloads are exactly the ones that feel it most.
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
Falco
Free- Falco (open source)Free
- Apache 2.0 licence, CNCF graduated project
- eBPF and kernel module drivers
- Full rules engine and default rule set
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 Falco if
- You need ebpf kernel instrumentation.
- You want to start without paying.
- You work on Linux, Kubernetes, Self-hosted.
- You also want system call rules engine.
Choose IBM QRadar if
- You need offence model.
- You work on Web, Api.
- You also want network flow analysis.
Questions people ask
- Is Falco or IBM QRadar better?
- Neither clearly leads. Falco starts at Free and IBM QRadar at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Falco or IBM QRadar?
- Falco has a free tier; the other does not. Paid plans start at Free for Falco and On request for IBM QRadar.
- Does Falco or IBM QRadar run on more platforms?
- Falco runs on Linux, Kubernetes, Self-hosted. IBM QRadar runs on Web, Api.
- Can I use Falco for free?
- Yes. Falco has a free tier, so you can try it without paying. IBM QRadar starts at On request.
- What is Falco best used for?
- Falco is most often used for a platform team that needs to know when a shell is opened inside a production container, which image scanning cannot detect because it happens at runtime, a regulated business required to evidence host and container intrusion detection on kubernetes nodes for an audit, a security team wanting a vendor-neutral detection layer whose rules they can read and modify rather than a black-box agent, a cluster where a compromised dependency might write to sensitive paths or open unexpected outbound connections, and only kernel-level visibility will catch it. Of those, a platform team that needs to know when a shell is opened inside a production container, which image scanning cannot detect because it happens at runtime and a regulated business required to evidence host and container intrusion detection on kubernetes nodes for an audit are not what IBM QRadar is typically brought in for.
- What can Falco do that IBM QRadar cannot?
- Falco covers eBPF kernel instrumentation, System call rules engine, Container and Kubernetes context, Default rule set. IBM QRadar covers Offence model, Network flow analysis, Device Support Modules, Ariel query language.
Answered from the vendors’ own pages
Falco: Does Falco block attacks?
No. It detects and emits events. Response requires Falco Talon or your own automation on top.
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.
Falco: Is Falco owned by Sysdig?
Sysdig created and open sourced it, but it graduated within the CNCF in February 2024, so governance sits with the foundation rather than the vendor.
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.
Falco: What does it cost?
The project is Apache 2.0 with no licence fee. The cost is the storage, routing, tuning and staff time needed to make its output useful.
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.
Falco: What kernel version do I need?
Kernel 5.8 or later for the default modern eBPF driver. Older hosts need the legacy eBPF probe or the kernel module.
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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