Cloud Workload Protection

Cloud Workload Protection Platform (CWPP) is the discipline of securing the compute layer of cloud environments: assessing vulnerabilities, enforcing runtime protection, detecting threats, and maintaining configuration integrity across workloads that are ephemeral, scalable, and constantly changing.

1. Workloads are ephemeral

A container may exist for minutes. A serverless function for milliseconds. Virtual machines are provisioned and deprovisioned continuously. Traditional agent-based security that assumes persistent endpoints breaks down when endpoints may not exist long enough for an agent to register.

2. The attack surface spans multiple layers

Cloud workload attacks can target the operating system, the runtime environment, the application code, the container image, the orchestration layer, or the cloud control plane. Protecting only one layer leaves the others exposed.

3. Workload vulnerabilities are distinct from infrastructure misconfigurations

A cloud security posture assessment will find misconfigured storage buckets and IAM policies. It won't find unpatched OS packages on EC2 instances, vulnerable libraries in container images, or misconfigured runtime environments. Workload protection addresses the layer inside the instance, not just around it.

4. Speed of deployment creates security lag

Development teams deploy container images and update workloads faster than security scanning can keep pace — unless scanning is integrated into the deployment pipeline rather than performed post-deployment.

Vulnerability assessment in workloads

OS packages, installed software, runtime environments, and application dependencies are assessed for known vulnerabilities — across virtual machines, containers, and serverless runtimes.

• OS package vulnerability scanning

• Container image analysis — including base image and layer-level findings

• Application dependency and library vulnerability identification

• Runtime environment assessment

Configuration and hardening

Workload operating system configuration, service exposure, authentication settings, and logging posture are evaluated against hardening benchmarks — detecting drift from secure baseline as it occurs.

Runtime threat detection

Behavioral monitoring identifies anomalous activity within running workloads unusual process execution, unexpected network connections, privilege escalation attempts, and file system modifications that indicate active exploitation or post-compromise activity.

Container and image security

Container security requires assessment at both the image level before deployment — and the runtime level — while the container is running.

• Image scanning for vulnerabilities before deployment

• Registry monitoring for newly discovered vulnerabilities in deployed images

• Runtime container behavior monitoring

• Orchestration platform (Kubernetes) configuration assessment

Secrets and credential exposure

Hardcoded secrets, exposed environment variables, and credential files accessible within workloads represent direct compromise risk. Workload protection includes detection of exposed credentials in running environments.

• Workload vulnerability assessment: OS packages, runtime environments, and application dependencies are continuously assessed across virtual machines and container workloads — with findings evaluated in the context of workload criticality and exposure.
• Configuration and hardening assessment: Workload operating system configuration is continuously evaluated against hardening benchmarks — with drift detection and remediation guidance.
• Integrated risk view: Workload vulnerability findings are evaluated alongside cloud infrastructure posture, identity risk, and on-premises endpoint data within a unified risk model.
• Container image visibility: Container images are assessed for vulnerabilities and configuration issues, giving teams visibility into what's inside deployed workloads, not just the infrastructure around them.
• Remediation prioritization: Workload findings are prioritized using asset criticality, exposure context, and exploit maturity, so remediation effort concentrates on the workloads that matter most.

• Percentage of cloud workloads with active vulnerability assessment coverage
• Workload vulnerability finding count by severity and asset criticality
• Container image risk rate — percentage of deployed images with high-severity findings
• Mean time to detect and remediate workload vulnerabilities
• Hardening compliance rate for cloud workload OS configurations
• Secrets and credential exposure finding count
• Workload coverage rate