Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

What is cloud application security? Cloud application security is the set of practices, tools, and policies that protect applications running in cloud environments across their entire lifecycle—from code development through CI/CD pipelines to production runtime. Unlike traditional perimeter security, it must protect multiple layers simultaneously: application code, container images, Kubernetes orchestration, and underlying cloud infrastructure under the shared responsibility model.

A: Most were designed for monolithic applications or VMs. They see containers as lightweight VMs rather than ephemeral workloads with unique identity, network, and orchestration patterns. When a pod gets rescheduled across nodes, shares service accounts with other workloads, or communicates over cluster DNS that never touches traditional network monitoring—these tools lose context.

What is Kubernetes Security Posture Management (KSPM)? KSPM is the continuous process of checking Kubernetes configurations, permissions, and policies against security benchmarks. It finds misconfigurations, policy violations, and compliance gaps by understanding Kubernetes-native resources like the control plane, workloads, RBAC bindings, and network policies—elements traditional security tools can’t see.

What is a Kubernetes dependency scanner? A Kubernetes dependency scanner finds known vulnerabilities in software packages your containers depend on—operating system packages, open-source libraries, and anything pulled in by package managers like npm, pip, or apt. It compares dependencies against vulnerability databases of known CVEs.

The world of identity and access management (IAM) is no longer a place for security gaps from unintegrated solutions. An identity fabric is the answer – multiple solutions that cover privileged access, identity governance and more to give your organization the strongest level of defense possible. Looking to fight identity sprawl from siloed solutions and orphaned accounts to streamline efficiency, productivity and visibility?

AI compliance is a continuous, risk-based governance discipline that spans the entire AI lifecycle including data, models, and operations.