Explore the main security issues for containers
To address container security challenges, enterprises need to understand the security risks impacting container workloads. These 7 container security issues demonstrate the wide range of strategic and tactical challenges related to container-based infrastructure.
#1: Effectively shifting left
DevSecOps and the concept of shift left security emphasize the importance of integrating security throughout the software development lifecycle (SDLC) and eliminating friction in the process of developing secure software.
While DevSecOps tools and automation garner a lot of the “shift left” headlines, a big part of effectively shifting left is cultural. Different organizational units within enterprises must move away from the idea of “security as the team of no” and embrace cooperation. The organizations that are able to truly adopt a DevSecOps mindset and make security “everyone’s” responsibility are better positioned to improve security posture across an enterprise.
#2: Managing ephemeral containers
Ephemeral containers are useful administrative and debugging tools in Kubernetes (K8s) clusters. For example, they can enable troubleshooting in environments that use distroless images. However, this also means ephemeral containers create an additional attack surface that wouldn’t otherwise exist. As a result, managing ephemeral containers is an essential aspect of K8s security.
While ephemeral containers can be powerful tools for capturing debug information, enterprises should implement security policies restricting their use to only necessary workloads and environments.
#3: Addressing misconfigurations
According to our recent cloud security survey, 27% of respondents reported a public cloud security incident. Of those incidents, 23% resulted from misconfigurations. That’s just one of many examples of the security risk posed by misconfigurations.
To ensure robust container security and workload protection, enterprises must be able to continuously detect — and correct — misconfigurations in container cluster configurations. That means ensuring only secure configurations are used in production, and no sensitive information or secrets are exposed.
#4: Countering known vulnerabilities
Zero-day threats are a real risk facing enterprises today, but many breaches exploit known vulnerabilities. By scanning container images, dependencies, and workloads, enterprises can detect and implement a plan to address known vulnerabilities before they’re used in an exploit.
Integrating security tooling throughout the SDLC and CI\CD pipelines can go a long way in addressing this container security challenge. Enterprises that shift security left can often detect threats before they make it to production or mitigate them sooner than they otherwise could. For example, Check Point CloudGuard IaaS enables enterprises to leverage virtual patching to temporarily mitigate vulnerabilities until new containers are deployed.
#5: Protecting against runtime threats
While signature-based detection works well to identify known exploits, many cloud workload security threats, such as zero-day exploits, require context to detect and mitigate. To provide enterprise-grade security for web applications and APIs, organizations need tooling that uses intelligence and context to detect new threats and limit false positives that hamstring productivity. Additionally, many cloud native applications can’t accommodate traditional endpoint security agents and instead require an agentless approach to runtime security.
#6: Addressing human error
Human error is a common factor in many security incidents today. Manual processes leave room for typos, misconfigurations, and oversight that can lead to a breach. While IPS, IDS, and firewalling can help reduce risk after these misconfigurations occur, they don’t go far enough.
Enterprises should limit manual configuration and automate as much of their security configuration as practical. Additionally, they should implement scans that use policies to detect and help address misconfigurations before they’re exploited.
#7: Passing compliance audits
Compliance risk is one of the single biggest risks facing modern enterprises. Failing an audit related to standards like GDPR, HIPAA, or SOX can damage an enterprise’s reputation and bottom line.
As a result, ensuring that container workloads and K8s clusters meet compliance requirements is a must. Cloud security posture management (CSPM) and Kubernetes security posture management (KSPM) tools can help automate compliance across cloud and container infrastructure.
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