Sadcloud is a tool for spinning up insecure AWS infrastructure with Terraform, supporting approximately 84 misconfigurations across 22 AWS Services. It was created to allow security researchers to misconfigure AWS for training purposes or assess AWS security tools, but it should not be run in production environments due to intentionally vulnerable configurations. Users are advised to set up a new AWS account to run this tool and to tear down all Terraform resources when not in use to minimize costs.
Cloud Custodian (c7n) is a rules engine for managing public cloud accounts and resources with a focus on security, compliance, and cost optimization.
A setuid implementation of a subset of user namespaces, providing a way to run unprivileged containers without requiring root privileges.
A script and library for identifying risks in AWS IAM configuration
A tool to fetch all public IP addresses associated with an AWS account
A customized AWS EKS setup for PCI-DSS, SOC2, and HIPAA compliance
A graph-based tool for visualizing effective access and resource relationships within AWS
Cloud Security Suite (cs-suite) - Version 3.0 Usage for cloud security audits on AWS, GCP, Azure, and DigitalOcean.
An AI-powered career platform that automates the creation of cybersecurity job application materials and provides company-specific insights for job seekers.
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.
A cybersecurity platform that offers vulnerability scanning, Windows Defender and 3rd party AV management, and MFA compliance reporting, among other features.
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.