Cloud_enum is a multi-cloud OSINT tool designed to enumerate public resources across AWS, Azure, and Google Cloud, aiding in security assessments and exposure analysis.
FEATURES
ALTERNATIVES
Comprehensive suite of tools and resources by Microsoft Azure for ensuring security and protection of data and applications in the cloud.
An open source cloud security platform for discovering, prioritizing, and remediating risks in the cloud.
Monitors AWS and GCP accounts for policy changes and alerts on insecure configurations, with support for OpenStack and GitHub monitoring.
Open source multi-cloud security-auditing tool for assessing security posture of cloud environments.
Open-source project for detecting security risks in cloud infrastructure accounts with support for AWS, Azure, GCP, OCI, and GitHub.
Tool for assessing compliance and running vulnerability scans on Docker images.
A tool for spinning up insecure AWS infrastructure with Terraform for training and security assessment purposes.
PINNED
InfoSecHired
An AI-powered career platform that automates the creation of cybersecurity job application materials and provides company-specific insights for job seekers.
Fabric Platform by BlackStork
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.
Mandos Brief Newsletter
Stay ahead in cybersecurity. Get the week's top cybersecurity news and insights in 8 minutes or less.
Wiz
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.
RoboShadow
A cybersecurity platform that offers vulnerability scanning, Windows Defender and 3rd party AV management, and MFA compliance reporting, among other features.
Adversa AI
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.