Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

What is a cloud workload protection platform (CWPP)? Security for the workloads actually running in your cloud—VMs, containers, and serverless functions doing real work. Unlike posture management (CSPM) that checks configurations, CWPPs monitor processes, network connections, and application behavior to catch threats as they happen. What’s the difference between CSPM, CWPP, CNAPP, and CADR? CSPM scans cloud settings for misconfigurations. CWPP protects running workloads.

What is ADR (Application Detection & Response)? A security tool that monitors application-layer behavior—API calls, function execution, code paths—to detect and respond to threats in real-time. Different from EDR (endpoint-focused) or CDR (cloud infrastructure-focused), ADR sees what’s happening inside your applications. Why do most ADR solutions fail? They only see one layer.

The ARMO-Rapid7 partnership connects broad attack surface coverage with deep cloud and Kubernetes runtime security and visibility. By correlating exposures with real workload behavior, organizations can identify meaningful risk earlier, focus remediation where it matters most, and respond to active threats with precision, improving security outcomes while operating more efficiently in cloud-native environments.

Last Tuesday, your SCA tool flagged 3,847 CVEs across your Kubernetes clusters. Your SAST scanner added another 1,200 findings from the overnight build. The container scanning pipeline blocked 47 images. And somewhere in Slack, someone from the SOC is asking why you haven’t patched the Log4j variant they read about on Twitter. You’ve done everything the security vendors told you to do. You shifted left. You scan everything. You gate deployments. You have dashboards.

Your ASPM tool flagged 3,400 vulnerabilities across your Kubernetes clusters last night. Your team can remediate maybe 50 this quarter. Which 50 actually matter? Here’s the uncomfortable truth most ASPM vendors won’t tell you: their tools were designed for traditional applications running on traditional servers. They assume your code deploys once and sits there. Kubernetes breaks every one of those assumptions. Pods spin up and die constantly. Deployments change multiple times daily.

Your morning scan returns 3,000 CVEs. Maybe a dozen actually matter. But which dozen? You’re running Trivy for image scanning, Falco for runtime detection, kube-bench for compliance, and Calico for network policies. Each tool generates alerts in its own format, its own dashboard, with its own context. When an incident happens, connecting a vulnerable image to a misconfigured RBAC role to a suspicious process requires manual work that doesn’t scale past a handful of clusters.

What is a Kubernetes security dashboard? A visual interface showing your clusters’ security state—what’s vulnerable, what’s under attack, and what to fix first. Different from general dashboards like Lens or Rancher, which focus on cluster management rather than threat detection. Why do most security dashboards fail? They create more work. Alerts are siloed across tools, forcing hours of manual correlation.

Why isn’t your API gateway enough? Gateways control access; WAFs block known signatures. Neither sees what happens at the application layer—where SQL injection executes, where SSRF reaches your metadata service, where lateral movement begins. Runtime security monitors live behavior, not just perimeter traffic. What’s the real problem with API security tools? Most see only one layer. API security sees traffic patterns. Container security sees process execution.

What is the best Threat Detection & Response for cloud-native applications? Traditional EDR isn’t enough for Kubernetes enviorments. Security teams need CADR (Cloud Application Detection and Response), which unifies application, container, Kubernetes, and cloud detection into a single platform that builds complete attack stories instead of siloed alerts. Why doesn’t traditional EDR work for Cloud-Native Applications?

A newly disclosed MongoDB vulnerability, tracked as CVE-2025-14847 and informally referred to as MongoBleed, allows unauthenticated remote attackers to leak uninitialized memory from a MongoDB server. A public proof-of-concept exploit is already available, significantly increasing the risk for exposed MongoDB deployments. This post explains how the vulnerability works, what is required to exploit it, and how ARMO helps identify exposure and detect exploitation attempts at runtime.