# Runtime Platforms Comparison — Falco vs Sysdig vs Prisma vs Tetragon > **Intro:** Teams often compare runtime platforms as if they were interchangeable. They are not. This page explains the practical differences between **Falco**, **Sysdig Secure**, **Prisma Cloud / Compute / Cortex Cloud runtime**, and **Tetragon**, including where each fits, where overlap is real, and how to choose without buying or deploying the wrong thing. ## First principle: compare categories, not only logos These tools overlap, but they are not all the same kind of product. | Tool / platform | Primary category | | --------------------------------------- | ------------------------------------------------------------------------------------------------------------------- | | Falco | open-source rule-driven runtime detection engine | | Sysdig Secure | commercial cloud/runtime platform with runtime, vulnerability, posture, admission, and investigation workflows | | Prisma Cloud / Compute / Cortex runtime | commercial cloud-native security platform with runtime protection plus broader CNAPP / container security workflows | | Tetragon | open-source eBPF-based runtime observability and enforcement system | That means a fair comparison must ask: * are you buying a **runtime engine** or a **platform**? * do you need **policy blocking** or mainly **visibility**? * do you want **community rule workflows** or a **single vendor UI**? * do you need **deep kernel/eBPF policy authoring** or **faster operator time-to-value**? *** ## The short version ### Use Falco when * you want fast, open-source, rule-driven runtime detections; * you want a broad community ecosystem; * you can own tuning and routing yourself. ### Use Tetragon when * you want eBPF-native tracing and enforcement with strong Kubernetes identity awareness; * you are comfortable with deeper policy engineering; * you already live in a Cilium/eBPF-heavy environment. ### Use Sysdig Secure when * you want a commercial platform that combines runtime, vulnerability findings, posture, policy, admission, and event workflows; * you want less “tool assembly” and more platform UX. ### Use Prisma runtime when * you already use Palo Alto cloud/container controls; * you want runtime as part of a larger code-to-cloud or cloud-runtime platform story; * you are comfortable with product-line naming and packaging changes across Prisma / Cortex branding. *** ## Comparison table | Dimension | Falco | Sysdig Secure | Prisma runtime | Tetragon | | ---------------------------------- | -------------------------------------------------------------- | --------------------------------------------------------------------------------- | ----------------------------------------------------------- | --------------------------------------------- | | Open source | Yes | Platform is commercial; open-source ecosystem includes Falco and sysdig OSS roots | No | Yes | | Main identity | rule-driven runtime detection | commercial runtime + vuln + posture + policy platform | commercial container/cloud runtime platform | eBPF observability + enforcement | | Typical install | Helm or host packages | Shield / agent/platform deployment | platform-specific SaaS + defenders/agents depending on mode | Helm / CLI / policies | | Signal source | kernel/runtime events, plugins | platform findings + runtime + vuln + posture | runtime + container/cloud telemetry | eBPF in-kernel tracing/policies | | Best at | quick time-to-value runtime detection | unified platform workflows | broader Palo Alto runtime/platform integration | deep low-level tracing and policy enforcement | | Weak at | requires tuning and surrounding workflows | commercial dependency / platform adoption | commercial complexity and branding drift | more advanced policy engineering burden | | Enforcement | indirect / surrounding tooling, some response via integrations | policy/admission/platform actions | runtime prevention and policy in product workflows | direct policy enforcement in kernel | | Good for labs | excellent | moderate | limited | good but more advanced | | Good for enterprise platform teams | good with strong engineering ownership | very good | very good in Palo Alto estates | strong where eBPF expertise exists | *** ## Falco ## What it is Falco is a cloud-native runtime security tool that provides near real-time threat detection for cloud, container, and Kubernetes workloads by evaluating event streams against rules. It supports Linux kernel events by default and can enrich them with Kubernetes metadata. ## Why teams like it * open source; * simple conceptual model: events + rules + outputs; * very large body of examples and community familiarity; * easy to explain in workshops and labs. ## Typical install ### Kubernetes via Helm ```bash helm repo add falcosecurity https://falcosecurity.github.io/charts helm repo update helm upgrade --install falco falcosecurity/falco -n falco --create-namespace kubectl get pods -n falco ``` ### Host package example ```bash sudo apt-get update -y sudo apt-get install -y falco sudo systemctl enable falco --now sudo journalctl -u falco -f ``` ## Practical strengths * rule-driven detections for suspicious shell/process/file/network behavior; * easy forwarding into Falcosidekick, SIEM, chat, or webhooks; * strong educational value. ## Practical weaknesses * teams often deploy defaults and never tune them; * platform ownership must build surrounding workflows; * not a full vulnerability/posture/admission platform by itself. *** ## Sysdig Secure ## What it is Sysdig Secure is a commercial platform that combines runtime, vulnerability management, posture, admission control, event workflows, and investigation UX. The product should not be reduced to “Falco with a UI.” ## Why teams choose it * platform experience instead of assembling many tools; * findings across pipeline, registry, and runtime; * policy and event workflows in one place; * drift and vulnerability prioritization with runtime context. ## Typical install pattern ```bash helm repo add sysdig https://charts.sysdig.com helm repo update helm upgrade --install sysdig-agent sysdig/sysdig-deploy -n sysdig-agent --create-namespace -f snippets/detections/sysdig/shield-values.yaml ``` ## Practical strengths * platform workflows, event feed, vulnerability findings, posture, admission; * easier for cross-functional teams than raw open-source-only stacks; * good when you need one platform for product + platform + detection collaboration. ## Practical weaknesses * commercial dependency; * feature breadth can make initial rollout messy if use cases are not prioritized; * still requires tuning for noise and ownership. *** ## Prisma runtime (Prisma Cloud / Compute / Cortex Cloud runtime) ## What it is For container and Kubernetes runtime, Palo Alto’s practical offering is best understood as the **runtime security component inside its broader cloud/container platform story**. Branding has evolved across **Prisma Cloud**, **Prisma Cloud Compute**, and **Cortex Cloud**. Treat runtime here as one capability inside a larger platform, not as a standalone OSS-like engine. ## Important naming note Do not confuse: * runtime analytics and posture features in the Prisma platform; * with **container/Kubernetes runtime protection** in the Prisma/Cortex cloud security line. ## Why teams choose it * alignment with broader Palo Alto cloud/container investment; * runtime plus vulnerability management, compliance, CI/CD security, access control; * strong fit for organizations already standardized on Palo Alto controls. ## Practical strengths * broad platform coverage from image to runtime; * good fit when CNAPP/container security is already part of the platform strategy; * strong enterprise/commercial posture. ## Practical weaknesses * commercial platform complexity; * product naming/packaging can confuse teams doing narrow runtime-only evaluations; * less attractive for small teams wanting simple open-source-first labs. *** ## Tetragon ## What it is Tetragon is an eBPF-based security observability and runtime enforcement tool. It traces and can act on process execution, system calls, network activity, and file access using eBPF and Kubernetes-aware filtering. ## Why teams like it * very strong low-level visibility; * policy and filtering in kernel for performance; * enforcement and policy-mode controls; * natural fit for advanced Kubernetes platform teams. ## Typical install ```bash helm repo add cilium https://helm.cilium.io helm repo update helm install tetragon cilium/tetragon -n kube-system kubectl get pods -n kube-system | grep tetragon ``` ## Example policy workflow ```bash kubectl apply -f file_monitoring.yaml kubectl apply -f network_policy.yaml tetra tracingpolicy list ``` ## Practical strengths * very strong for process/file/network tracing and enforcement; * namespaced and Kubernetes-aware policy targeting; * excellent for teams comfortable with eBPF and kernel-aware controls. ## Practical weaknesses * more advanced than many teams actually need on day 1; * policy writing can be powerful but sharp-edged; * weaker fit when the team mainly wants a broad commercial security portal. *** ## A practical selection matrix ## Scenario 1 — Small team, wants open source, fast results Pick: * **Falco** first * possibly **Tetragon** later for deep-dive use cases ## Scenario 2 — Strong Cilium/eBPF culture Pick: * **Tetragon** * optionally keep Falco only if you already have mature rule processes and a clear split of ownership ## Scenario 3 — Platform and Product Security need one portal Pick: * **Sysdig Secure** or **Prisma runtime platform path** * select based on broader vendor/platform alignment, not only runtime feature checklists ## Scenario 4 — Kubernetes policy/risk context matters more than raw syscall depth Pick: * **StackRox/RHACS** plus one runtime layer if needed ## Scenario 5 — Need strongest lab/teaching value Pick: * **Falco** * optionally add **Tetragon** for advanced labs *** ## Common bad comparison patterns ### Bad pattern 1 — “Falco and Sysdig are the same” Not true. Falco is a runtime engine and ecosystem. Sysdig Secure is a platform. ### Bad pattern 2 — “Tetragon replaces all platform workflows” Not true. Tetragon is extremely strong technically, but it does not magically replace vulnerability management, registry integrations, dashboards, posture, or all the platform workflows commercial suites offer. ### Bad pattern 3 — “Prisma runtime is one clean standalone SKU” Usually not how teams experience it. Operationally, teams evaluate it in the context of the wider Prisma/Cortex platform story. ### Bad pattern 4 — “More runtime data means automatic better security” No. Without routing, ownership, filtering, suppression, and triage discipline, more runtime data usually means more noise. *** ## Recommended architecture patterns ## Pattern A — Open-source-first * Falco for rule-driven detections * Falcosidekick for routing * SIEM / log store for durable analytics * Trivy/Syft/Grype elsewhere in the lifecycle * StackRox/RHACS only if you need stronger Kubernetes policy/risk context ## Pattern B — Platform-first * Sysdig Secure **or** Prisma runtime platform * integrate registry, CI, runtime, posture, ticketing * use open-source layers only where the platform leaves specific gaps ## Pattern C — Advanced kernel-aware platform team * Tetragon for deep tracing and enforcement * cloud and Kubernetes audit logs for control-plane visibility * SIEM or data lake for correlation * add StackRox/RHACS if you want stronger Kubernetes policy/risk portal workflows *** ## Recommendation for this KB Use this comparison as a **decision page**, not a marketing page. * Recommend **Falco** for first-principles learning and open-source runtime detection. * Recommend **Tetragon** when the team explicitly wants deeper eBPF tracing and enforcement. * Recommend **Sysdig Secure** when the team wants a unified commercial runtime/platform workflow. * Recommend **Prisma runtime** when runtime is being adopted as part of a broader Palo Alto cloud security strategy. * Recommend **StackRox/RHACS** as a complementary Kubernetes security platform, especially when deploy-time policy, risk ranking, network baseline, and cluster context matter as much as raw runtime signals. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. 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