AWS Security Hub
AWS Security Hub is a cloud security posture management tool that automates security best practice checks, aggregates security alerts, and centralizes them in a single format, enhancing overall security monitoring and management in AWS environments.
FEATURES
ALTERNATIVES
A security tool that monitors AWS objects for ownership attribution, detects domain hijacking, and verifies security services.
A tool to fetch all public IP addresses associated with an AWS account
Cloud Security Dashboard with AWS CIS Security Benchmarks and JIRA integration.
A Python script that lists all main resources of your AWS account, helping you find resources that affect billing and/or security.
A collection of security workshops and hands-on content for AWS security services and techniques
Lists AWS resources using the AWS Cloud Control API and writes them to a JSON output file.
A framework to analyze container images and gather useful information.
Krampus is a security solution for managing AWS objects and can be used as a cost-control tool.
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.