MutableSecurity is a CLI program for making cybersecurity solution management easier and more accessible, from deployment and configuration to monitoring. Functionalities: - Multiple solution supported so far (and more under development) - Operations managing the solution lifecycle - Initially configuring the solution via YAML files - Installing the solution - Retrieving and changing the solution configuration - Retrieving metrics about the solution functioning - Updating the solution to its newest version - Uninstalling the solution - Multiple authentication methods: Password-based when deploying to the local host, Password-based or key-based SSH for remote hosts - Deployments to multiple hosts with the same command - Intuitive CLI - Extensive usage and contribution documentations
A guide to secure Ruby development, providing guidelines and recommendations for secure coding practices.
Reverts sha1 integrity back to sha512 in lock files for enhanced security.
HxD is a freeware hex editor and disk editor with advanced features for editing files, memory, and disks.
Directory containing components to build labs for Chapter 29 with setup instructions and VM information.
Enhances the reading experience of smali code in Emacs.
Community-driven collection of open source tools being archived with limited support.
nudge4j is a tool to control Java applications from the browser and experiment with live code.
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.
Stay ahead in cybersecurity. Get the week's top cybersecurity news and insights in 8 minutes or less.
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.