Why ARMO?
How ARMO compares to Prisma Cloud
ARMO is the only Kubernetes-native security platform built end-to-end, posture to runtime detection, on a single behavioral foundation. Prisma Cloud is more focused on static CSPM, with Runtime data mostly used for rule based detection and without constant mapping of behavior.
See ARMO in ActionARMO vs Prisma Cloud
See Armo in ActionBehavioral Detection with Application Profile DNA
ARMO’s behavioral foundation – Application Profile DNA (APD) – is a runtime-derived baseline of how each workload actually behaves. APD is built from the eBPF data stream the moment the agent is installed, capturing syscalls, file access, networking, APIs, and process execution. It powers detection, vulnerability prioritization, smart remediation, attack paths, and compliance from a single source of truth. Prisma Cloud collects runtime telemetry through Twistlock’s sensor, but that data is not effectively correlated back into vulnerability and posture findings. The runtime data exists; the behavioral foundation that turns it into cross-pillar context does not. That is the architectural gap behind most of the differences in the table above.
Native Runtime Threat Detection
ARMO’s eBPF-powered sensors monitor container and workload behavior at the kernel level in real time – process execution, network connections, file access, and system calls – at 1–2.5% CPU. Full-stack correlation unifies application, cloud, container, and host-level events into one detection engine. Built for runtime from day one, not acquired through a bolt-on.
Noise-Free Vulnerability Management
Runtime reachability analysis identifies which vulnerabilities are actually loaded into memory and executed in production – cutting CVE noise by 90%+. Threat intelligence enrichment (EPSS, CISA KEV) combined with workload context delivers a multi-dimensional view across workloads, images, and components. Your team focuses on the dozen CVEs that matter, not the thousands that don’t.
One Dashboard, One Risk Model
Misconfigurations, vulnerabilities, RBAC, network policies, seccomp profiles, and runtime threats – all surfaced in one risk view grounded in what’s actually running in your cluster. No switching between Compute, CSPM, and Code Security modules to assemble a story.
Kubernetes Attack Paths
ARMO surfaces the highest-priority attack paths in your environment and the specific issues that need to be addressed to break them. LLM-powered attack stories build the complete, explainable timeline across cloud, container, Kubernetes, and application events – cutting investigation and triage time by 90%+.
Remediation Without Breaking Applications
ARMO recommends fixes grounded in best practice, application behavior, Kubernetes context, and runtime data – so remediation doesn’t break the workload. Smart remediation uses deep behavioral inspection of each container to verify which fixes are safe, then generates workload-specific code: network policies, seccomp profiles, and RBAC fixes ready for your Dev or DevOps owner.
Application-Layer Attack Protection
ARMO detects and responds to SQL injection, command injection, SSRF, LFI/RFI, and other application-layer attacks across the full app-to-cloud stack. Response actions: Kill, Stop, Pause, Soft Quarantine – applied per-CVE or by risk factor for external-facing, privileged, and data-access workloads.
Open-Source Foundation
ARMO’s in-cluster components are open-source and built on a CNCF project (Kubescape). No black boxes, no back doors, no proprietary lock-in. 50,000+ organizations, 100,000+ deployments, 11,000+ GitHub stars – your team can inspect, audit, and verify every component protecting your clusters.
ARMO is also the creator of the open-source CEL Admission Library (a Kubescape project), which blocks non-compliant workloads at deploy time through native Kubernetes Validating Admission Policies – prevention at the gate, on the same open-source foundation.
Two Minutes to Deploy. Zero Touch to Run.
A single helm command deploys the full ARMO Platform agent. The in-cluster agent requires minimal resources and configuration, and 50+ customers now run zero-support self-service implementations. Transparent, tiered per-vCPU pricing scales predictably with your environment.
Your Cloud Security, Simplified
Get expert advice tailored to your needs
“Security is never finished, but ARMO makes continuous improvement simple and measurable.”
“My favourite feature are the dashboards that score your security posture in line with security standards.”
“ARMO has fantastic granular SSO controls, ARMO’s “CVE Relevancy” feature is a differentiator.“
“We chose ARMO, as it is dedicated to Kubernetes security and provides us with a high signal to noise ratio.”
ARMO can fully replace Prisma Cloud for organizations whose primary security need is Kubernetes and cloud-native workload protection. ARMO covers security posture, vulnerability management, runtime threat detection, compliance, and incident response with deeper Kubernetes-native capabilities. For organizations that also require broad multi-cloud CSPM across non-Kubernetes infrastructure, ARMO can complement existing CSPM tools or serve as the runtime and K8s security layer alongside a broader platform.
Yes. Many organizations deploy ARMO specifically for Kubernetes runtime security and deep K8s posture management while keeping Prisma Cloud or another CSPM for broader cloud infrastructure. ARMO integrates with Splunk, Slack, Teams, Jira, and PagerDuty, and supports multi-tool security architectures.
ARMO uses a transparent, tiered per-vCPU pricing model that scales predictably with your environment. Prisma Cloud uses a credit-based model that is widely cited as confusing and expensive, with costs escalating as organizations enable additional modules. ARMO also offers a self-service Startup plan (up to 25 worker nodes, limited features, community support) and a free two-week trial – no mandatory professional services.
Yes. ARMO supports all major managed Kubernetes services – AWS EKS, Azure AKS, Google GKE, Oracle OKE, and VMware Tanzu – as well as on-premises and air-gapped clusters. The platform is cloud-agnostic and works consistently across hybrid and multi-cloud environments.
Under 2 minutes via a single helm command. The lightweight in-cluster agent begins discovering workloads, running compliance scans, and monitoring runtime behavior immediately. 50+ customers run ARMO with zero-support self-service implementations.
Kubescape is the open-source Kubernetes security platform created and maintained by ARMO. It is a CNCF-approved project used by 50,000+ organizations with 100,000+ deployments. The ARMO commercial platform is built on Kubescape and extends it with LLM-powered attack story generation, enterprise UI/UX, third-party integrations, CADR capabilities, and premium support.
Yes. ARMO detects and responds to SQL injection, command injection, SSRF, LFI/RFI, and other application-layer attacks across the app-to-cloud stack – capabilities most competitors lack. Response actions include Kill, Stop, Pause, and Soft Quarantine, with per-CVE and risk-factor policies for external-facing, privileged, and data-access workloads.
CIS Benchmarks (Kubernetes and cloud), NSA/CISA Kubernetes Hardening Guide, NIST, SOC2, PCI-DSS, HIPAA, GDPR, and custom organizational policies. Compliance monitoring is continuous and event-driven – not periodic scans – with real-time dashboards, drill-down evidence, CSV exports, and versioned scans for audit readiness.
Yes – via native Kubernetes Validating Admission Policies and the open-source CEL Admission Library, ARMO blocks policy-violating workloads (e.g. containers running as root) before they run.
ARMO’s Cloud Threat Readiness Lab (CTRL) injects real attack behaviours into your cluster so you can watch ARMO detect and respond before you commit.