ARMO’s Application Profile DNA is a runtime-derived baseline of how each workload actually behaves, built from the eBPF data stream the moment the agent installs. It captures syscalls, file access, networking, APIs, and process execution, and it powers detection, vulnerability prioritization, remediation, and compliance from a single source of truth. On top of that foundation, LLM-generated attack stories assemble the complete timeline across cloud, container, Kubernetes, and application events.

Sysdig’s runtime insights correlate live detections with risk context, which is valuable. The difference is the last step: turning correlated signals into one causal narrative that a responder can read end to end without stitching events together by hand. That unified story is where ARMO’s CADR platform is built to win.

Syscall-level runtime detection is excellent at catching what a workload does to the kernel. It is not designed to see a SQL injection or an SSRF payload arriving at the application. ARMO detects and responds to SQL injection, command injection, SSRF, and LFI/RFI across the full app-to-cloud stack, with per-workload response actions: Kill, Stop, Pause, and Soft Quarantine. Sysdig’s runtime coverage is behavioral and syscall-based, and does not claim L7 application-layer attack detection. For teams whose exposure includes internet-facing application logic, that gap is the decision.

Both platforms help you fix issues. The distinction is safety. ARMO inspects each workload’s observed behavior to verify which fixes are safe before they ship, then generates the workload-specific network policy, seccomp profile, or RBAC change and routes it to the right Dev or DevOps owner. Sysdig offers guided remediation and can auto-generate infrastructure-as-code pull requests at the source, but the fix is not validated against the workload’s runtime behavior first. When the cost of a bad remediation is a production outage, behavior-verified is the safer default.

This is a row to be honest about. Sysdig’s runtime-based vulnerability prioritization is mature and its published reachability numbers are strong. ARMO’s runtime reachability analysis identifies which CVEs are actually loaded into memory and executed in production, cutting noise by 90%+ and enriching with EPSS and CISA KEV. ARMO’s advantage here is not a bigger headline percentage. It is that the same behavioral foundation feeding reachability also feeds the attack story, so a prioritized CVE arrives already connected to how an attacker would reach it.

Neither side owns open source in this matchup. Falco is Sysdig’s CNCF runtime project and a genuine credential. Kubescape is ARMO’s CNCF project, used by 50,000+ organizations, and the commercial ARMO platform is built end to end on it rather than bolting a separate runtime engine onto a posture product. Your team can inspect, audit, and verify the in-cluster components. The honest framing is that both vendors earned open-source credibility, and ARMO’s is the foundation of the whole platform.

A single Helm command deploys the full ARMO agent in under two minutes, and behavioral baselining begins within hours at 1 to 2.5% CPU and 1% memory, with no sidecars. The same eBPF foundation extends to ARMO’s cloud-native security for AI workloads, discovering agentic workloads from runtime behavior rather than manifests.