Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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 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.

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.

Table of contents: hide Azure Devops is a popular CI/CD platform utilized by software development teams. The core use includes source code hosting, CI/CD, project management, test managements and dependency management. Given the extensive capabilities of Azure DevOps, the attack vector for cyber criminals is also bigger – putting more pressure on securing sensitive data. With the growth of sophisticated cyber attacks – cyber security must also be re-evaluated and properly addressed.

What is a Cloud Workload Protection Platform (CWPP)? A CWPP is a security tool that protects running workloads—containers, virtual machines, and serverless functions—across their entire lifecycle. For Kubernetes environments, this means protecting pods and containers from build time through deployment and into production runtime, covering threats like cryptomining, reverse shells, and lateral movement.

Open source libraries, packages, and models power nearly every product team today. They accelerate development, democratize innovation, and let teams stand on the shoulders of giants. But there’s a dangerous assumption creeping into engineering orgs: that open source — or AI trained on open source — will keep your software safe. That assumption is wrong. Open source gives you speed and community, not guaranteed security.