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README.md

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# Managed Kubernetes Auditing Toolkit (MKAT)
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[![Tests](https://github.com/DataDog/managed-kubernetes-auditing-toolkit/actions/workflows/test.yml/badge.svg)](https://github.com/DataDog/managed-kubernetes-auditing-toolkit/actions/workflows/test.yml) [![go static
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analysis](https://github.com/DataDog/managed-kubernetes-auditing-toolkit/actions/workflows/static-analysis.yml/badge.svg)](https://github.com/DataDog/managed-kubernetes-auditing-toolkit/actions/workflows/static-analysis.yml)
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MKAT is a toolkit for identifying common security issues in managed Kubernetes environments. It is focused on AWS EKS at the moment, but will be extended to other managed Kubernetes environments in the future.
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## Pre-requisites
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## Installation
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```bash
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brew tap datadog/managed-kubernetes-auditing-toolkit https://github.com/datadog/managed-kubernetes-auditing-toolkit
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brew install datadog/managed-kubernetes-auditing-toolkit/managed-kubernetes-auditing-toolkit
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```
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... or use a [pre-compiled binary](https://github.com/DataDog/managed-kubernetes-auditing-toolkit/releases).
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Make sure you are authenticated against your cluster, and to AWS. MKAT uses your current AWS and kubectl authentication contexts.
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Then, make sure you are authenticated against your cluster, and to AWS. MKAT uses your current AWS and kubectl authentication contexts.
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```bash
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aws eks update-kubeconfig --name <cluster-name>
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* Add a feature to identify EKS pods that are exposed through an AWS load balancer, through the [aws-load-balancer-controller](https://github.com/kubernetes-sigs/aws-load-balancer-controller)
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* Add support for GCP GKE
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* Allow scanning for additional types of cloud credentials
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* Enhance the IAM role trust policy evaluation logic to take into account additional edge cases
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* Enhance the IAM role trust policy evaluation logic to take into account additional edge cases

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