Kubeadm is a tool designed to provide best-practice 'fast paths' for creating Kubernetes clusters by performing the necessary actions to set up a minimum viable, secure cluster in a user-friendly manner. Its scope is limited to the local node filesystem and the Kubernetes API, serving as a composable building block for higher-level tools. Common cmdlets include kubeadm init for bootstrapping the initial control-plane node, kubeadm join for adding worker or control plane nodes to the cluster, kubeadm upgrade for updating the cluster, and kubeadm reset for reverting changes made by kubeadm init or kubeadm join.
Multi-account cloud security tool for AWS with real-time reporting and auto-remediation capabilities.
Docker security audit tool with custom audit profiles and JSON report generation based on CIS Docker 1.6 Benchmark.
Open source multi-cloud security-auditing tool for assessing security posture of cloud environments.
A project exploring minimal set of restrictions for running untrusted code using Linux containers in a concise codebase.
Generate Amazon GuardDuty findings related to real AWS resources with multiple tests available.
An open-source security tool for AWS, Azure, Google Cloud, and Kubernetes security assessments and audits.
AWS serverless cloud security tool for parsing and alerting on CloudTrail logs using EQL.
FunctionShield is a Serverless Security Library for Developers to enforce strict security controls on AWS Lambda & Google Cloud Functions runtimes.
Fabric Platform is a cybersecurity reporting solution that automates and standardizes report generation, offering a private-cloud platform, open-source tools, and community-supported templates.
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Wiz Cloud Security Platform is a cloud-native security platform that enables security, dev, and devops to work together in a self-service model, detecting and preventing cloud security threats in real-time.
Adversa AI is a cybersecurity company that provides solutions for securing and hardening machine learning, artificial intelligence, and large language models against adversarial attacks, privacy issues, and safety incidents across various industries.