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MetaDefender Cloud leverages advanced technologies like Deep Content Disarm and Reconstruction (CDR), Multiscanning, and Sandbox to provide a comprehensive threat detection and prevention platform, ensuring robust cybersecurity by analyzing suspicious files and sharing threat intelligence.
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A modern tool for Windows kernel exploration and observability with a focus on security.
A guide to implementing Microsoft AppLocker for application whitelisting
A comprehensive utility that shows what programs are configured to run during system bootup or login, and when you start various built-in Windows applications.
Deep Instinct is a predictive prevention platform that uses deep learning to prevent unknown threats, including ransomware and zero-day malware, from infiltrating storage environments, applications, and endpoints.
Android Loadable Kernel Modules for reversing and debugging on controlled systems/emulators.
Toolkit for building custom minimal, immutable Linux distributions with secure defaults.
Doorman is an osquery fleet manager that allows administrators to remotely manage the osquery configurations retrieved by nodes.
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InfoSecHired
An AI-powered career platform that automates the creation of cybersecurity job application materials and provides company-specific insights for job seekers.
Mandos Brief Newsletter
A weekly newsletter providing cybersecurity leadership insights, industry updates, and strategic guidance for security professionals advancing to management positions.
Orca Security
A cloud-native application protection platform that provides agentless security monitoring, vulnerability management, and compliance capabilities across multi-cloud environments.
DryRun
A GitHub application that performs automated security code reviews by analyzing contextual security aspects of code changes during pull requests.
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.