What is Container Runtime Security?

SHARE:

What is Container Runtime Security?

What you'll learn

  • What container runtime security is

  • Why runtime security is critical to protecting your containers

  • Best practices and tools for container runtime security

Container runtime security comprises the methods and technologies that are implemented to secure containerized workloads. While container solutions such as Docker and Kubernetes enable the streamlined deployment and management of scalable cloud applications, they must be implemented and maintained with cloud-native security technologies and best practices that fully address the unique security challenges they present.

This guide explains what container runtime security is, how it benefits your applications’ operation and organization’s overall security posture, and how you can identify and address common container runtime security issues.

Introduction to container runtime security

Containerization is the technology that runs code in ‘containers’. This is a lightweight alternative to full machine virtualization, in which an application and all of its dependencies and configuration are run in an isolated environment that shares the host operating system’s Kernel and resources. This allows for consistent deployment of your code, without the overheads of emulating a full computer.

Because containers are lightweight and are able to start quickly, they are ideal for horizontally scaling applications in cloud environments. Docker is the most popular containerization platform for cloud workloads, and is often paired with Kubernetes to orchestrate microservice-based applications that run in independently scaling container clusters.

Scalable cloud architectures based on deploying code in containers present several primary security challenges:

  • Malicious code and malware: While scanning code and dependencies and verifying images before deployment can detect known vulnerabilities, it does not protect against as-yet undiscovered exploits.
  • Insecure default configurations and misconfiguration: Many default configurations are written to get up and running quickly, rather than providing security out-of-the-box. Misconfigurations that allow applications to function but leave them vulnerable can also be difficult to detect in complex deployments, and configuration drift that leads to an environment becoming insecure can happen slowly over time as a result of quick fixes and unapproved changes.
  • Exploits that compromise container isolation: Container breakouts can occur when attackers are able to escape the isolation of the current container and access the resources of the host, and gain the ability to move laterally through your network.
  • Exposure of secrets: Sensitive information such as API keys and user credentials are too often committed to source control so that they are available to all containers when scaling horizontally, risking public exposure. Secrets that are provided to containers through environmental variables can be prone to leaking through error messages and logs if not properly configured.
  • Poor visibility over ephemeral containers: Visibility and accountability over fluctuating and constantly moving resources can be difficult, and logs stored in containers disappear when the container is deprovisioned, potentially erasing evidence of a cyberattack.

Benefits of container runtime protection

To mitigate or eliminate the issues described above you must implement container runtime security platforms that include targeted measures that address the specific challenges of scaling container and cloud deployments:

  • Runtime monitoring for suspicious behavior: Runtime security helps you identify attacks in progress, whether the attack vector is documented or not, based on behavioral analysis. This is done by monitoring the activity of currently running processes, and can be enhanced by using machine learning and log analysis to build a full picture of the activities of running processes.
  • Configuration monitoring: Configuration changes should be approved through a central interface by team members who understand the broader impact each change will have. If central approval is disruptive to workflows, alerts should be sent when changes are made.
  • Centralized secrets management and security contexts: Secrets management through a secure, centralized platform such as HashiCorp Vault can be enhanced with security solutions that actively monitor for potential breaches that could lead to secrets exposure.
  • Centralized logging for automated detection and response: Scalable deployments of microservices-based applications can result in potentially thousands of running containers. These can only be effectively monitored by combining orchestration tools like Kubernetes with cloud security solutions that implement Security Information and Event Management (SIEM) to centralize logs that can then be scanned for anomalous behaviors.

Container runtime security is provided by tools such as Sysdig Secure, Falco, and SE Linux, among other products. Cloud-native application protection (CNAPP) unifies container runtime protection with other cloud protection technologies for increased coverage.

Docker runtime security and Kubernetes

Orchestration also plays a role in container runtime protection. Kubernetes is the most popular orchestration tool for scalable Docker deployments, and while it provides numerous benefits (such as automation, high availability, and facilitating updates and rollbacks), it broadens your potential attack surface through misconfiguration or mismanaged privileges.

Docker runtime protection must extend from the running containers themselves to the Kubernetes platform used to orchestrate them to ensure full coverage of all containers and clusters against potential exploits.

Container runtime security best practices

In addition to integrating technologies that recognize the importance of container runtime security and the additional attack surface area of orchestration tools, your development and Ops teams must adopt security best practices.

To reduce the chance of deploying insecure code or configurations, and to limit the potential impact should a cybersecurity incident occur in production, the container security protections you implement should enable the following best practices:

  • Identify and mitigate risks: Vulnerability management plays a key role in cloud security and helps you identify risks that exist in your container registries.
  • CI/CD integration: CI/CD integration with container security platforms can check for vulnerabilities during the build process.
  • Secrets management using vaults: HashiCorp Vault is an industry-standard secrets management system that removes the need for committing API keys and credentials to source control or leaving them potentially exposed in environmental variables. By integrating centralized credentials management with your security platform, you can ensure that secrets are not exposed.
  • RBAC and POLP for both users and services: Role-based access control (RBAC) and the principle of least privilege (POLP) ensure that users and services only have access to the information they require to perform their specific tasks. This can reduce the amount of useful data exposed in the event that a breach does occur.
  • Isolation and segmentation with security policies: Network segmentation and access restrictions in conjunction with RBAC restrict the ability of attackers to move laterally through your network.

One of the primary concerns when deploying applications in containers is the regularity that images (and the dependencies baked into them) are updated. Applications that are vetted as secure at the time they are deployed and continue nominally working are often left to run as-is, meaning that newly discovered vulnerabilities are not patched.

While active monitoring of deployed applications ensures that suspicious behavior, compliance issues, and configuration drift can be identified and investigated by SecOps teams, developers’ responsibility for security of code does not end at deployment. Ongoing dependency monitoring through platforms like Snyk means that developers can keep dependencies up-to-date and code patched against known public vulnerabilities.

Protect your cloud assets with Sysdig

Deploying containerized applications is not a ‘fire and forget’ process: your applications serve an ongoing purpose to your users, and must remain available and secure throughout their lifetime.

Container runtime security is only a part of protecting your cloud IT infrastructure. Native cloud security products that include tools for container security provide robust protection that eliminates the visibility gaps that occur when trying to combine traditional security products that were not designed for cloud environments.

The Sysdig suite of cloud-native security products provides a unified solution that covers all of your cloud assets; protecting your valuable data, ensuring compliance, and helping you to ensure that your containerized applications cannot be exploited.

FAQ

Security does not end after an application has been developed, tested, and deployed. Container runtime security ensures the continued protection of infrastructure and sensitive data.

Malicious code, privilege escalation, unauthorized access, and container isolation breakouts are common threats that container runtime security products should protect against by enforcing security and actively monitoring executing processes.

Sysdig Secure, Falco, HashiCorp Vault, and SELinux are popular tools used to implement container runtime security.

Code analysis and review should be performed to ensure no known vulnerabilities are introduced during development. CI/CD pipelines should integrate secrets management best practices and full logging of the deployment process to ensure applications are not tampered with during deployment or execution.

Supply chain exploits often leave dormant malicious code or exploitable vulnerabilities in vital third-party libraries that you use in your applications. Container runtime security protects against this by enforcing security policies and actively monitoring for suspicious behavior in running processes, helping to protect against undiscovered threats.