Option A: The correct action to remediate an unencrypted S3 bucket is to configure the workflow to automatically update the bucket policy to enforce encryption. This action ensures future objects stored in the bucket are encrypted. Additionally, it aligns with best practices for data protection without causing disruption or data loss.
Option B: Compliance reports help in auditing and tracking but do not actively remediate the issue. This is an auxiliary action rather than a direct remediation step.
Option C: While notifications are important, they do not constitute a remediation action. This step would only alert the team to the issue without resolving it.
Option D: Deleting bucket contents may seem like a valid approach for security, but it leads to unnecessary data loss and is not a recommended remediation strategy.

Option A: Runtime policies address runtime behavior and do not affect pre-deployment image assessments.
Option B: Excluding an image from the image assessment policy requires adding its immutable digest to the allowlist. This ensures that the specific image is excluded from assessment while maintaining security for other images in the registry.
Option C: Tags are mutable and can point to different image versions over time. Exclusions based on tags are not reliable for security purposes.
Option D: Kubernetes labels do not control Falcon's image assessment policies. Exclusions are configured within the Falcon Cloud platform, not at the Kubernetes level.

Option A: While using the latest version is generally good practice, it must be from a verified source and appropriately reviewed. Blindly trusting the latest version can still introduce unnecessary dependencies or vulnerabilities.
Option B: This is the correct answer because minimal base images reduce the attack surface by limiting the included software to only what is necessary for the application to run. This approach minimizes potential vulnerabilities and simplifies vulnerability management.
Option C: Runtime tools are important but are not a substitute for secure image practices. Images must be secured at the build and review stages to prevent vulnerabilities from reaching runtime.
Option D: This increases the attack surface because each additional tool or dependency introduces more potential vulnerabilities. Custom images should be minimal and tailored to application requirements.

Option A: Requiring all workloads to use privileged containers would create unnecessary security risks. The Kubernetes and Container Sensor can secure non-privileged containers, which is the recommended best practice for containerized workloads.
Option B: Disabling the kube-proxy component is not required for deploying the Kubernetes and Container Sensor. Kube-proxy is an essential component of Kubernetes networking, and its removal would break cluster functionality.
Option C: The Kubernetes and Container Sensor is typically deployed as a DaemonSet to ensure that a sensor pod is running on each node in the Kubernetes cluster. This enables comprehensive monitoring and threat detection across all workloads in the cluster. The DaemonSet is a standard Kubernetes construct for deploying cluster-wide services.
Option D: GPU support is not a requirement for deploying the Kubernetes and Container Sensor.
GPU nodes are only necessary for specific workloads, such as machine learning applications, and are unrelated to the sensor's deployment.

Option A: Relying solely on inbound traffic blacklists limits the scope of protection. Many malicious activities, such as data exfiltration or beaconing, involve outbound connections.
Option B: Periodic audits can identify misconfigurations but lack the ability to detect or respond to real-time network activity or emerging threats.
Option C: CrowdStrike Falcon provides real-time monitoring and behavioral analytics to detect abnormal network activity in runtime environments. This feature allows security teams to identify and investigate malicious connections based on patterns or anomalies in communication, such as unusual ports, destinations, or traffic volumes.
Option D: While development pipeline scanning is useful for ensuring secure code and configurations, it does not address runtime network behavior or connections initiated by running workloads.