What is the best approach to detect rogue containers and configuration drift in a Kubernetes environment?

Option A: Admission controllers are effective at preventing unauthorized deployments at the admission

stage but do not monitor runtime behavior. They cannot detect rogue containers that bypass admission

controls or identify configuration drift after deployment.

Option B: Kubernetes logging mechanisms provide a baseline for auditing but lack the specificity and

advanced threat detection capabilities needed to identify rogue containers and configuration drift

effectively.

Option C: CrowdStrike’s container runtime protection provides real-time monitoring of container

activity, detecting rogue containers and runtime configuration drift. This approach uses behavioral

analysis and IOA detection to identify threats that static policies cannot handle.

Option D: Static rules enforce predefined security configurations but are inflexible in identifying runtime

anomalies or dynamic threats. They do not adapt to changes in the runtime environment and can miss

rogue containers or configuration drift.