Cybersecurity · head to head
Falco vs Seldon
Falco
Cybersecurity
CNCF-graduated runtime threat detection for Linux and Kubernetes using eBPF
- From
- Free
- Rated
- -
Seldon
Machine Learning
Kubernetes model serving whose current version is licensed under the Business Source Licence
- From
- Free
- Rated
- -
The short version
- 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.; Seldon seldon Core v2 is under the Business Source Licence rather than Apache 2.0, so production use requires a commercial agreement, and a team that evaluated it believing it was open source discovers the licence is the blocker exactly when the project is ready to ship.
- They diverge on capability: Falco covers eBPF kernel instrumentation, Seldon covers Kubernetes custom resources.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Falco and Seldon actually diverge.
Identical on both: starting price (Free), free tier (Yes), 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 Falco
- eBPF kernel instrumentation
- System call rules engine
- Container and Kubernetes context
- Default rule set
- Falcosidekick
- Falco Talon
- Plugins framework
- DaemonSet deployment
Only in Seldon
- Kubernetes custom resources
- Inference graphs
- Traffic strategies
- Open Inference Protocol
- Alibi Explain
- Alibi Detect
- Kafka-backed pipelines in v2
- Commercial control plane
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 Seldon
- A regulated business required to evidence host and container intrusion detection on Kubernetes nodes for an auditnot Seldon
- A security team wanting a vendor-neutral detection layer whose rules they can read and modify rather than a black-box agentnot Seldon
- A cluster where a compromised dependency might write to sensitive paths or open unexpected outbound connections, and only kernel-level visibility will catch itnot Seldon
Seldon
- Serving an ensemble or a multi-stage inference path as one versioned deployment rather than as a chain of separate servicesnot Falco
- Running genuine production experiments where a share of live traffic goes to a candidate model and the results are comparednot Falco
- Regulated environments needing explanations and drift monitoring attached to the served model rather than bolted on laternot Falco
- Organisations with an established Kubernetes platform team who want serving expressed as manifests under existing deployment controlsnot 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.
Seldon
- Seldon Core v2 is under the Business Source Licence rather than Apache 2.0, so production use requires a commercial agreement, and a team that evaluated it believing it was open source discovers the licence is the blocker exactly when the project is ready to ship.
- Core v1 remains Apache 2.0 but is in maintenance, so taking the free route means running software that receives no new development while the architecture it belongs to moves on without it.
- Version 2 is a different system rather than a newer release, with different custom resources, a scheduler component and a Kafka-based pipeline model, so migrating from v1 is a re-implementation of every deployment manifest rather than an upgrade.
- Kafka is a dependency for v2 pipelines, so an organisation that does not already operate it takes on a distributed log with its own storage, retention, rebalancing and failure modes purely in order to serve models.
- Everything assumes Kubernetes fluency and the failure modes are Kubernetes failure modes, custom resource version mismatches, an operator that will not reconcile, admission webhooks and resource limits terminating an inference pod mid-request, so it needs a platform engineer rather than a data scientist.
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
Seldon
Free- Seldon CoreFree
- Open source
- Kubernetes deployment
- Model serving
- Seldon DeployFree
- Enterprise features
- GUI
- Monitoring
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 Seldon if
- You need kubernetes custom resources.
- You want to start without paying.
- You work on Linux.
- You also want inference graphs.
Questions people ask
- Is Falco or Seldon better?
- Neither clearly leads. Falco starts at Free and Seldon at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Falco or Seldon?
- Falco starts at Free and Seldon at Free.
- Does Falco or Seldon run on more platforms?
- Falco runs on Linux, Kubernetes, Self-hosted. Seldon runs on Linux.
- Can I use Falco for free?
- Both have a free tier, so you can try either at no cost before committing.
- 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 Seldon is typically brought in for.
- What can Falco do that Seldon cannot?
- Falco covers eBPF kernel instrumentation, System call rules engine, Container and Kubernetes context, Default rule set. Seldon covers Kubernetes custom resources, Inference graphs, Traffic strategies, Open Inference Protocol.
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.
Seldon: Is Seldon open source?
Partly, and this is the thing to check before you build on it. Core v1 is Apache 2.0 but in maintenance. Core v2 was moved to the Business Source Licence in 2024, which allows evaluation but not unlicensed production use. Verify the current licence of each component you intend to run, including MLServer and the Alibi libraries.
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.
Seldon: What is the difference between v1 and v2?
Architecture, not just version number. v2 introduces a scheduler, a different set of custom resources and Kafka-backed pipelines. Manifests, mental model and operations all change, so treat a move as a project.
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.
Seldon: Do I need Kubernetes?
Yes. It is a Kubernetes-native system and there is no meaningful deployment without a cluster and someone competent to run it.
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.
Seldon: What is MLServer?
Seldon's Python inference server implementing the Open Inference Protocol, usable inside Seldon deployments or on its own. Check its current licence alongside Core's, since the company has moved projects onto the Business Source Licence.
Seldon: Do I have to run Kafka?
For v2 pipelines, yes. If you only need single models served, that dependency is a large amount of infrastructure for the benefit, and a simpler serving layer may be the better answer.
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- Seldon vs Domino Data Lab
- Seldon vs H2O.ai
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