Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

This is the second episode of the CSI Container series, published and presented at CloudNativeSecurityCon 2024. In this episode, we focus on Kubernetes CSI, how to conduct DFIR activities on K8s and containers, and how to perform static and dynamic analysis. As we covered in the first episode, DFIR refers to the union of Digital Forensics (DF) and Incident Response (IR). We also highlighted how conducting DFIR activities in a container environment differs from the usual DFIR in a host environment.

We know that cloud attacks happen very quickly. Our 2024 global threat year-in-review, the third annual threat report from the Sysdig Threat Research Team (TRT), revisits the team’s hottest findings from the last 12 months and explores how they relate to the broader cyber threat landscape. This year’s report also includes informed predictions about 2025’s security outlook and potential trends.

Containers are transforming how enterprises deploy and use applications - their efficiency and cost-effectiveness making them a cornerstone of modern IT strategies. Compared to traditional virtualization, where the server runs a hypervisor, and then virtual machines with entire guest operating systems and software run on top of the hypervisor, containers allow more versatility since they simplify management and provide faster provisioning of applications and resources.

The dynamic world of Kubernetes and cloud security is constantly evolving. As we explore this complicated ecosystem, it’s crucial to understand the role of policy as code (PaC) and its impact on operations and security teams. Emerging from the broader paradigm of infrastructure as code (IaC), PaC represents a significant shift in how we manage and secure cloud-native environments.

In today’s fast-paced cloud-native world, scaling security alongside rapid development cycles presents significant challenges. As organizations increasingly adopt Kubernetes, ensuring consistent, fine-grained security across dynamic workloads becomes essential. Calico’s policy model for microsegmentation offers a scalable solution that integrates seamlessly into DevSecOps workflows, enabling teams to implement robust security controls without compromising agility.

In the context of cloud security posture management (CSPM), custom controls are policies or rules that give security teams the flexibility to create and enforce policies. These are needed to manage posture, tailor compliance measures, and detect misconfigurations across infrastructures like Kubernetes, containers, and the cloud.

Learn how to automate Helm deployments with GitOps, using Argo CD for continuous delivery. Seamlessly handle secrets, pod auto-restart, and version propagation in Kubernetes with this production-ready integration.

Containers have quietly become indispensable in the modern application deployment stack, revolutionizing how we build, ship, and run applications. However, with their widespread adoption comes a pressing concern. According to the 2024 State of Kubernetes Security Report, 45% of respondents experienced a runtime security incident in the last 12 months. This raises a few questions: What exactly is container runtime security?

As Kubernetes and containerized environments become the backbone of modern application development, securing these environments grows increasingly complex. The distributed nature of microservices, the dynamic scaling of workloads and the ephemeral nature of containers introduce unique security challenges. Traditional approaches to risk assessment — where vulnerabilities, misconfigurations and threats are identified and prioritized in isolation — often fall short in such environments.

The Sysdig Windows agent is a game-changer for cloud infrastructure, particularly when it comes to securing Windows containers in Kubernetes environments. While many endpoint protection agents are designed to provide security for traditional Windows hosts, Sysdig goes a step further by incorporating Kubernetes-specific context into its system introspection.