Carbon Black Container

VMware Carbon Black Container: Enterprise-Level Container Security at DevOps Speed

VMware Carbon Black Container is a comprehensive security solution for both on-premises and cloud-native workloads. This solution provides enterprise-grade container security at DevOps speed.

VMware Carbon Black Container helps mitigate risk by identifying vulnerabilities and misconfigurations to harden workloads. This solution provides full visibility to application security and DevOps teams to ensure security in Kubernetes environments and mitigate risks created by vulnerabilities and misconfigurations. This provides policy-based reporting and enforcement to ensure the security and compliance of all workloads. In this way, security risks can be identified and remediated before they become a problem.

Key Features

Continuous Visibility Between Development and Production: Provides continuous visibility across the full lifecycle of containers and Kubernetes applications. This includes knowing where the alert came from, even knowing the actual steps of how the attacker got there. Maintaining Compatibility: Kubernetes provides the visibility and control needed for the security and compliance of the cluster and the applications deployed on it. Mitigating Risk: Reduces risk by better identifying vulnerabilities, malware and misconfigurations. Kubernetes Visibility: Provides visibility and context into your K8 workloads for easier alert triage and faster remediation. Network Visibility Mapping: Enables you to understand pre-deployment application architecture to quickly identify egress destination connections, potential workload policy violations and vulnerable images. Automatic Compliance: Generates automatic, customizable policies to enforce secure configuration and ensure compliance with corporate requirements and industry standards.

Result

As a result, VMware Carbon Black Container aims to reduce the attack surface, ensure compliance and realize simple, secure multi- and hybrid cloud Kubernetes deployments at scale.

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