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In this episode of the GitOps series, we focus on one of the most critical topics in real-world production environments: security and access limitations in GitOps. We start by explaining why Git repositories are a trusted source of truth in GitOps and how Git’s cryptographic design, based on Merkle trees, makes every change traceable and auditable. You will learn how repository hosting platforms such as GitHub enforce access control, protect branches, and require code reviews to prevent unauthorized or accidental changes. Next, we walk through practical security controls, including protected branches, mandatory pull request reviews, and automated security checks using CI tools. We also explain why human review alone is not enough and how automated tools can detect risky Kubernetes configurations early in the deployment process. A major part of this episode covers commit author identity protection. You will see why Git commit authorship can be forged by default and how GPG-signed commits solve this problem by cryptographically verifying who actually created a change. We then shift to Kubernetes access control and explain the RBAC model in a simple and structured way. You will understand the difference between Roles, ClusterRoles, RoleBindings, and ServiceAccounts, and why giving a GitOps operator full admin access is dangerous. We demonstrate how to restrict a GitOps operator to: A single namespace Specific resource types Least-privilege permissions This approach prevents privilege escalation and limits the impact of mistakes or malicious changes. After that, we move to container image security. We explain why securing the Kubernetes cluster and Git repository is not enough if container images themselves are not protected. You will learn how container registries like Docker enforce access control, and how Docker Content Trust allows you to sign images and verify their integrity before deployment. Finally, we discuss common GitOps security patterns, from full access in early-stage projects to fully automated, code-access-only models used in mature production systems. We also cover important edge cases, such as preventing image pulls from untrusted registries and avoiding privilege escalation through cluster-level resources. By the end of this episode, you will clearly understand how to design a secure GitOps workflow that balances speed, automation, and strong security guarantees using Kubernetes and GitOps best practices. 📌 This episode is essential if you are running GitOps in production or planning to secure your deployment pipeline properly.