Metarget is a framework providing automatic constructions of vulnerable infrastructures.
- Updated
Apr 16, 2025 - Python
Metarget is a framework providing automatic constructions of vulnerable infrastructures.
A Blazing fast Security Auditing tool for Kubernetes
OWASP Kubernetes security and compliance tool [WIP]
Container Security Workshop covering using Falco on Kubernetes.
Curating Falco rules with MITRE ATT&CK Matrix
The Amazon Elastic Kubernetes Service (EKS) Creation Engine (ECE) is a Python command-line program created by the Lightspin Office of the CISO to facilitate the creation and enablement of secure EKS Clusters.
Kubernetes Mutating and Validating Webhooks written in Sanic
AegisEdgeAI delivers verifiable trust for AI at the edge — from manufacturing to live operations — ensuring workloads run only on approved, uncompromised devices, in approved locations.
🌪️ Evict pods and block pod deployment (DoS) on kubernetes
Simple script that automates onboarding your Kubernetes cluster to CloudGuard CSPM
Perform Automatic hardening on Kubernetes clusters based on CIS Security Benchmark recommendations on a recurring basis
This is a project that automates all the scans and checks implemented in https://github.com/aquasecurity/kube-bench for all the nodes in a cluster and collects the scan results from all the nodes.
HTTP load to stress policy-server
An open-source toolkit for automating security incident response in Amazon EKS (Elastic Kubernetes Service) clusters. This project helps security and DevSecOps teams detect, contain, and remediate threats in real-time with minimal manual intervention.eks-security-automation-demo
A command-line tool that scans Kubernetes YAML or Helm manifests for common security misconfigurations. Inspired by tools like MKAT, but designed for fast local use and educational DevSecOps workflows.
Production-ready security automation scripts and configurations for cloud-native environments. AWS, Kubernetes, CI/CD security tools with 99.9% uptime track record.
Use Kubernetes Pod Security Policy to secure your clusters.
🔒 Secure AI at the edge by binding user, device, and workload identities to ensure integrity, compliance, and trusted operations in real-time.
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