Container environments differ from traditional server environments in an important way: the processes and assets involved are often short-lived, and risk can enter earlier in the pipeline. A vulnerability can arrive already sitting in one of the base images pulled from a public registry, ride through pull requests and build pipelines untouched, and end up baked into every container built from that image afterward.
Base layers pulled from third party images are a common software supply chain entry point for outdated packages and insecure configurations. Poor secrets management, including API keys or other embedded secrets left sitting in environment variables, adds another layer to the same problem, separate from whatever risk already exists in the application code itself.
Prioritizing container risk means knowing whether a given vulnerability sits in an image nobody’s deployed yet, or one that’s live in containerized applications running in production right now. It also means considering runtime configuration and Kubernetes security controls, such as excessive container privileges or writable file systems, that can affect the impact of a compromised container. A vulnerability isn’t automatically worse because it happens to be containerized. What changes is what else has to be true before it becomes urgent.
Fidelis Container Secure applies the same microagent model to containerized environments running Docker and Kubernetes. It continuously scans container registries as images are pushed and while they are at rest, while also inventorying and assessing container registries and hosts. At runtime, it flags rogue containers running from unapproved or unknown images and detects privileged, writable, and interactive containers, which can increase the potential impact of a compromise.
Fidelis Container Secure also helps segment the container host network to reduce the risk of lateral movement and connects with CI/CD tools such as Jenkins as part of the deployment pipeline. It can run standalone or alongside Server Secure and Cloud Secure, using the same policy and rules framework inside the Halo® Portal. When configured policies are violated, CI integrations can automatically pass or fail builds.
Together, these services give teams a unified view of cloud posture, workload, and container security data, providing more context for evaluating vulnerabilities than a standalone severity score.
